Jonghoek Kim | Statistical Applications in Engineering | Innovative Research Award

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

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