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

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

Dai Chu | Statistical Applications in Engineering | Best Researcher Award

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