Yung Ming Cheng | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Yung Ming Cheng,
University of Hong Kong.

Yung Ming Cheng
Affiliation University of Hong Kong
Country Hong Kong
Scopus ID 56036410000
Documents 150
Citations 5,532
h-index 37
Subject Area Civil Engineering
Event World Statistics Awards

Yung Ming Cheng is affiliated with the University of Hong Kong and is identified in the supplied Scopus information with 150 documents, 5,532 citations, and an h-index of 37. His stated subject area is Civil Engineering, providing the academic context for this recognition under the Innovative Research Award category. [1]

Abstract

This academic recognition profile presents Yung Ming Cheng of the University of Hong Kong in connection with the Innovative Research Award. The supplied bibliometric information records 150 documents, 5,532 citations, and an h-index of 37 within Civil Engineering. The profile summarizes research activity, scholarly output, impact indicators, and award suitability. [1]

Keywords

Yung Ming Cheng; University of Hong Kong; Civil Engineering; Innovative Research Award; World Statistics Awards; Scopus; research publications; scholarly impact; citations; h-index. [1]

Introduction

Yung Ming Cheng is presented as a researcher affiliated with the University of Hong Kong, with Civil Engineering identified as the principal subject area in the supplied profile. His academic record includes 150 documents and substantial citation activity, providing measurable indicators for evaluating research productivity and influence within an international scholarly context. [3]

Research Profile

The supplied profile identifies Cheng with the University of Hong Kong and Civil Engineering as his subject area. Scopus records associated with author ID 56036410000 indicate 150 documents, 5,532 citations, and an h-index of 37. These indicators describe a substantial body of indexed scholarly output and citation-based research visibility. [2]

Research Contributions

Within the information supplied, Cheng’s research contributions are situated broadly within Civil Engineering. The available bibliometric indicators demonstrate sustained scholarly production, while the document and citation counts provide quantitative evidence of research dissemination. Specific technical contributions, research themes, methodologies, and individual study findings require verification against the underlying publications. [2]

Publications

The supplied Scopus information reports 150 documents associated with the researcher profile. This figure indicates a substantial indexed publication record, although individual article titles, journals, publication years, and DOI identifiers were not provided in the input data. Consequently, specific publications are not attributed here without independent bibliographic verification. [1]

Research Impact

The supplied bibliometric indicators show 5,532 citations and an h-index of 37 for the Scopus author record. These measures provide quantitative indicators of scholarly visibility and citation reach. They should be interpreted alongside publication quality, disciplinary context, authorship, collaboration, and individual research contributions when assessing broader academic impact. [2]

Award Suitability

The available information provides several measurable indicators relevant to an academic recognition assessment, including 150 documents, 5,532 citations, and an h-index of 37. His Civil Engineering affiliation establishes a defined research domain. Final award suitability should additionally consider verified publications, originality, research significance, and the specific evaluation criteria applied by World Statistics Awards. [2] [4]

Conclusion

Yung Ming Cheng’s supplied academic profile reflects an established research record associated with the University of Hong Kong and Civil Engineering. The reported 150 documents, 5,532 citations, and h-index of 37 provide useful bibliometric evidence for scholarly assessment. Further evaluation should incorporate verified publications, research originality, significance, and documented contributions. [1]

References

  1. Zhu, W.-Q., Zhao, S.-L., Han, H., Liu, L.-L., Zhang, W.-G., Zhang, S.-H., & Cheng, Y.-M. (2025). Reliability analysis and design of soil slopes considering spatial variability under rainfall infiltration. Earth Surface Processes and Landforms.

    https://doi.org/10.1002/esp.6057

  2. Huang, L., Liu, L.-L., & Cheng, Y.-M. (2024). Influence of a firm stratum on probabilistic slope stability analyses with spatially variable undrained soil strength. Computers and Geotechnics.

    https://doi.org/10.1016/j.compgeo.2024.106782

  3. Cheng, Y.-M., & Law, C. W. (2024). Design and construction of buildings and foundations with illustrative examples. Bentham Science Publishers.

    https://doi.org/10.2174/97898152380061240101

  4. Wang, C., Li, L., Kou, H., Cheng, Y., & Meng, D. (2024). Rainfall induced slope reliability analysis using radial degraded random fields. Geotechnical and Geological Engineering.

    https://doi.org/10.1007/s10706-024-02905-2

Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

Published on by Statistics

Innovative Research Award

Jonghoek Kim
Affiliation Sejong University
Country South Korea
Scopus ID 34872607400
Documents 138
Citations 1,157
h-index 19
Subject Area Statistics
Event World Statistics Awards
ORCID 0000-0001-7565-068X

Jonghoek Kim,
Sejong University.

Jonghoek Kim of Sejong University, South Korea, is presented in this academic recognition profile in connection with the Innovative Research Award under the World Statistics Awards. The profile summarizes the supplied bibliometric indicators, research orientation, scholarly contributions, publication activity, and potential suitability for recognition in statistics. [1]

Abstract

This academic profile documents Jonghoek Kim’s research standing at Sejong University within the field of Statistics. The supplied record identifies 138 documents, 1,157 citations, and an h-index of 19. The profile considers scholarly contributions, publication activity, research impact, and alignment with the Innovative Research Award. [1]

Keywords

  • Jonghoek Kim
  • Statistics
  • Statistical Research
  • Innovative Research
  • Research Impact
  • Sejong University
  • World Statistics Awards

Introduction

Jonghoek Kim is affiliated with Sejong University in South Korea and is identified with the academic field of Statistics. His scholarly profile is characterized by a substantial indexed publication record and measurable citation activity. The Innovative Research Award recognizes research development, methodological contribution, and sustained academic engagement in statistics. [1]

Research Profile

The supplied research profile records Jonghoek Kim with 138 documents, 1,157 citations, and an h-index of 19. These indicators provide bibliometric evidence of continuing scholarly productivity and citation visibility. His institutional affiliation with Sejong University and subject classification in Statistics establish the principal academic context for this recognition profile. [1]

Research Contributions

Kim’s documented scholarly record indicates sustained contributions within statistics and related quantitative research. His publication volume and citation record suggest engagement with research questions requiring systematic statistical analysis and evidence-based interpretation. Assessment of specific methodological innovations should rely on individual publications, datasets, and peer-reviewed findings rather than bibliometric indicators alone. [1]

Publications

Jonghoek Kim’s supplied Scopus record contains 138 indexed documents, indicating an established publication history. Individual article titles, journals, publication years, and DOI identifiers were not supplied with the profile data; therefore, specific publication claims and DOI assignments are not inferred here. Bibliographic verification should be performed against authoritative publication records. [1]

Research Impact

The reported citation count of 1,157 and h-index of 19 provide quantitative indicators of the visibility and scholarly influence associated with Kim’s indexed research. Such measures can support an assessment of research impact, while interpretation should also consider field differences, publication age, collaboration patterns, and the substantive significance of individual studies. [1]

Award Suitability

Based on the supplied profile, Kim appears academically aligned with an Innovative Research Award focused on Statistics, particularly because of his documented publication activity, citation record, and sustained research engagement. Final award suitability should be determined through formal evaluation of research originality, methodological quality, publications, broader impact, and the applicable award criteria. [1] [4]

Conclusion

Jonghoek Kim’s supplied academic indicators describe an established researcher associated with Sejong University and the field of Statistics. His 138 documents, 1,157 citations, and h-index of 19 provide measurable evidence of scholarly activity and visibility. These indicators support consideration for recognition, subject to comprehensive review of research quality and originality. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Jonghoek Kim, Author ID 34872607400. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=34872607400

  2. ORCID. (n.d.). Jonghoek Kim — ORCID record. ORCID.

    https://orcid.org/0000-0001-7565-068X

  3. Google Scholar. (n.d.). Jonghoek Kim — Google Scholar profile.

    https://scholar.google.com/citations?user=0t1uQMgAAAAJ&hl=en&oi=ao

  4. World Statistics Awards. (n.d.). World Statistics Awards.

    https://statisticsaward.com/

Dai Chu | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Best Researcher Award

Dai Chu,
Huazhong University of Science and Technology.

Dai Chu
Affiliation Huazhong University of Science and Technology
Country China
Scopus ID 57226126803
Documents 7
Citations 33
h-index 3
Subject Area Robotics, Autonomous Systems and Bio-inspired Motion Planning
Event World Statistics Awards

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Abstract

Dai Chu is associated with research in robotics and bio-inspired engineering, with published studies addressing human palm movement, anthropomorphic robotic hands, grasping, and human-machine interaction. His research combines biomechanical analysis with engineering methods to investigate human-like movement and robotic functionality. Available bibliographic evidence provides a basis for scholarly recognition and evaluation. [1] [2]

Keywords

Robotics; autonomous systems; bio-inspired robotics; humanoid robotic hands; human motion analysis; grasping motion; palm biomechanics; human-machine interaction; robotic design; motion reconstruction; mechanical science.

Introduction

Dai Chu is a researcher at Huazhong University of Science and Technology, China, working across robotics, human motion analysis, and bio-inspired robotic systems. His research addresses mechanisms for understanding and reproducing human hand movements, contributing to the development of dexterous robotic technologies and human-machine interaction approaches through interdisciplinary engineering research. [1]

Research Profile

Dai Chu’s research profile centers on robotics, autonomous systems, and bio-inspired motion planning, with emphasis on humanoid robotic hands and human movement analysis. Indexed work associates him with the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, where he pursues doctoral work in mechanical science. [2] [3]

Research Contributions

Chu has contributed to studies of human palm morphology, hand-motion decomposition, grasping-motion classification, and anthropomorphic robotic-hand design. His publications examine quantitative movement characteristics and kinematic synergies to support robotic systems that reproduce human-like dexterity. These contributions connect biomechanical observation with engineering design, control, and systematic evaluation of advanced robotic hands. [3] [4]

Publications

Dai Chu’s published work includes Decomposition and Reconstruction of Human Palm Movements, Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands, and Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. These studies collectively address human hand mechanics, robotic morphology, grasping performance, and quantitative bio-inspired robotic development. [3] [4]

Research Impact

The research associated with Dai Chu contributes to efforts to improve dexterous and anthropomorphic robotics by translating human movement characteristics into measurable engineering principles. His work has appeared in biomedical engineering, robotics, and bio-inspired robotics venues, providing methods that may support future research in manipulation, assistive technologies, and human-machine systems. [3] [4]

Award Suitability

Based on the supplied profile and indexed research record, Dai Chu demonstrates research activity aligned with robotics, autonomous systems, and bio-inspired motion planning. His documented publications address human-inspired robotic design and movement analysis, providing relevant evidence for consideration under a Best Researcher Award, subject to the award’s independent evaluation criteria. [1] [4]

Conclusion

Dai Chu’s research demonstrates a focused contribution to bio-inspired robotics, particularly the analysis and engineering reproduction of human hand function. His publication record connects biomechanics, motion analysis, and robotic design, while indexed research metrics provide additional indicators for evaluation. Further assessment should consider originality, methodological rigor, impact, and sustained contributions. [1] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Dai Chu, Author ID 57226126803. Scopus.

    https://www.scopus.com/pages/authors/57226126803

  2. Frontiers. (n.d.). Dai Chu research profile. Frontiers Loop.

    https://loop.frontiersin.org/people/2165209/network

  3. Chu, D., Xiong, C., Huang, Z., Yang, J., Ma, J., Zhang, J., Sun, B., & Cai, J. (2024). Human Palm Performance Evaluation and the Palm Design of Humanoid Robotic Hands. IEEE Robotics and Automation Letters, 9(3), 2463–2470.

    https://doi.org/10.1109/LRA.2024.3354619

  4. Ma, J., Sun, B.-Y., Chu, D., Yang, J., Zhang, J., & Xiong, C.-H. (2025). Maximizing anthropomorphic grasping abilities of bio-inspired underactuated robotic hands. Bioinspiration & Biomimetics, 20(6).

    https://doi.org/10.1088/1748-3190/ae0aa3

Jinfa Zhang | Statistical Applications in Engineering | Research Excellence Award

Published on by Statistics

Dr. Jinfa Zhang | Statistical Applications in Engineering | Research Excellence Award

China University of Petroleum (Beijing) | China 

The research profile reflects a strong and continuous focus on petroleum engineering, Statistical Applications in Engineering with specialized expertise in rock mechanics, geomechanics, lost circulation control, reservoir stimulation, and enhanced oil and gas recovery. Advanced doctoral research concentrates on the mechanical behavior of reservoir rocks, wellbore stability, and lost circulation mechanisms, integrating theoretical modeling with practical engineering applications. Master’s-level research emphasized oil and gas reservoir stimulation technologies, enhanced recovery methods, numerical reservoir simulation, and optimization techniques, supported by a strong academic performance and rigorous coursework in advanced reservoir engineering, fluid phase equilibria, and simulation software applications. Undergraduate training provided a solid foundation in drilling engineering, completion engineering, rock mechanics, porous media flow, oilfield chemistry, and production engineering. The research experience is complemented by extensive proficiency in industry-standard professional software for fracturing design, reservoir simulation, curve fitting, programming, and geospatial analysis, enabling comprehensive data-driven studies. Practical exposure through geological fieldwork and petroleum production training strengthened the ability to connect theoretical research with field-scale operations. Academic excellence is demonstrated through competitive scholarships, innovation and design competitions, and national-level recognitions, highlighting strong research capability, interdisciplinary technical skills, and potential for impactful contributions to petroleum engineering research and technology development.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
23

Documents
9

h-index
2

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Published on by Statistics

Assoc Prof. Dr. Mustafa Kerem Kockar | Statistical Applications in Engineering | Best Researcher Award

Hacettepe University | Turkey

Assoc Prof. Dr. Mustafa Kerem Kockar is a Turkish engineering geologist and geotechnical expert currently serving in the Department of Civil Engineering at Hacettepe University, Ankara. He holds a B.Sc., M.Sc., and Ph.D. in Geological Engineering from Middle East Technical University (METU), where his research focused on engineering geological and geotechnical site characterization of Upper Pliocene and Quaternary deposits west of Ankara. He has also conducted research at The University of Texas at Austin and Texas A&M University. His key research interests include engineering geology, rock and soil mechanics-particularly tunnelling, dam sites, slopes, and landslides-in-situ geotechnical and seismic site characterization, dynamic and static numerical modelling of geotechnical problems, environmental geotechnology, and engineering seismology with an emphasis on ground-motion amplification, attenuation modelling, earthquake hazard assessment, and enhanced geothermal systems involving hydraulic fracturing and micro-seismic monitoring. He has authored or co-authored 47 documents and has received 650 citations with an h-index of 17, reflecting his strong contribution to the field. He has supervised several postgraduate theses on landslide monitoring, slope stability, fibre-optic methods for early warning, and solar farm foundation design. His professional experience includes academic and research roles at METU, UT Austin, Texas A&M, Gazi University’s Earthquake Engineering Research Center, and Hacettepe University. He also contributes to Turkey’s national seismology and earth-interior advisory commission under the Disaster and Emergency Management Authority (AFAD) and has provided expert consultancy on major infrastructure projects such as the Trans Anatolian Natural Gas Pipeline (TANAP) and slope-erosion surveys, showcasing his interdisciplinary expertise in geotechnical fieldwork, seismic hazard analysis, and numerical modelling.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Oner, G., Akgun, H., Koçkar, M. K., & Arslan Kelam, A. (2025). Municipal landfill site selection using TOPSIS methodology: A case study for Polatlı, Ankara, Türkiye. Bulletin of Engineering Geology and the Environment, 84(3), 126.

Arslan Kelam, A., Akgun, H., Bobet, A., & Kockar, M. K. (2025). Assessment of complex rock slope instabilities in Mudurnu, Turkey, through kinematic and dynamic analyses: A case study. Rock Mechanics and Rock Engineering, 58(2), 2223–2242.

cınar, Ö. F., Aldemir, A., Zervent, A., Yücel, O. B., Erberik, M. A., Anıl, O., & Koçkar, M. K. (2024). Fundamental period estimation of RC buildings by considering structural and non-structural damage distributions through neural network. Neural Computing and Applications, 36(3), 1329–1350.

Askan, A., Altindal, A., Aydin, M. F., Erberik, M. A., Koçkar, M. K., Tun, M., et al. (2025). Assessment of urban seismic resilience of a town in Eastern Türkiye: Turkoglu, Kahramanmaras before and after 6 February 2023 M 7.8 Kahramanmaras earthquake. Earthquake Spectra, 41(1), 146–175.

Sahin, G., Okalp, K., Koçkar, M. K., Yilmaz, M. T., Jalehforouzan, A., Temiz, F. A., et al. (2024). Development of a GIS-based predicted map of Türkiye using geological and topographical parameters: Case study for the region affected by the 6 February 2023 earthquakes. Seismological Research Letters, 95(4), 2044–2057.

Abhijeet Das | Statistical Applications in Engineering | Machine Learning Award

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Dr. Abhijeet Das | Statistical Applications in Engineering | Machine Learning Award

C.V. Raman Global University | India

Dr. Abhijeet Das, Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar, is an accomplished civil engineering researcher specializing in watershed hydrology, hydrological modeling, climate change impact assessment, and GIS-based water resources management. With a strong academic foundation, including M.Tech and B.Tech degrees from Biju Patnaik University of Technology, he has combined rigorous research with nearly a decade of professional and teaching experience. Dr. Das has contributed extensively to collaborative national and international projects across Tunisia, USA, Oman, UK, South Africa, Syria, and Lebanon, focusing on water quality, hydrologic extremes, and sustainable water management through remote sensing, machine learning, and optimization techniques. He has published 88 documents indexed in Scopus, which have received 199 citations, achieving an h-index of 7, reflecting both productivity and the growing impact of his research contributions. His intellectual property portfolio includes over 30 patents filed in water resource engineering, geoinformatics, and environmental sustainability, showcasing innovation and applied problem-solving capacity. Dr. Das has actively engaged in more than 30 seminars, workshops, and international conferences, presenting advancements in civil and water resource engineering. His career trajectory illustrates a blend of academic excellence, applied research, and industry collaboration, making him a promising contributor to the advancement of sustainable infrastructure and water management systems.

Profiles: Scopus | Orcid

Featured Publications

Das, A. (2025). An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.

Das, A., & Mishra, S. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment. Discover Sustainability.

Das, A. (2025). A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. Discover Sustainability.

Das, A. (2025). Evaluation and prediction of surface water quality status for drinking purposes using integrated water quality indices, GIS approaches, and machine learning techniques. Desalination and Water Treatment.

Das, A., Mishra, S., & Tripathy, B. (2025). Bioplastics: A sustainable alternative or a hidden microplastic threat? Innovative Infrastructure Solutions.