World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
8907
World Ranking
5404
National Ranking
76

Chun-Hsien Chen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chun-Hsien Chen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chun-Hsien Chen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chun-Hsien Chen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Chun-Hsien Chen is affiliated with Nanyang Technological University in Singapore and has contributed extensively to fields spanning engineering, business management, and psychology. Their work primarily focuses on industrial and manufacturing engineering, social psychology, marketing, human-computer interaction, and mechanical engineering.

The research topics that Chun-Hsien Chen has engaged with include:

  • Digital Transformation in Industry
  • Service and Product Innovation
  • Human-Automation Interaction and Safety
  • Color perception and design
  • Occupational Health and Safety Research
  • Manufacturing Process and Optimization
  • Product Development and Customization

Among recent publications, representative works are as follows:

  • "A review of digital twin in product design and development," 2021, Advanced Engineering Informatics
  • "The global rise of 3D printing during the COVID-19 pandemic," 2020, Nature Reviews Materials
  • "A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives," 2021, Advanced Engineering Informatics
  • "A digital twin-enhanced system for engineering product family design and optimization," 2020, Journal of Manufacturing Systems
  • "American sign language recognition and training method with recurrent neural network," 2020, Expert Systems with Applications

Chun-Hsien Chen frequently publishes in several prominent venues, including:

  • Advanced Engineering Informatics
  • Journal of Cleaner Production
  • SSRN Electronic Journal
  • Knowledge-Based Systems
  • Computers & Industrial Engineering

The scientist collaborates often with a number of coauthors. Frequent collaborators include:

  • Pai Zheng
  • Zuoxu Wang
  • Xinyu Li
  • Fan Li
  • Ching-Hung Lee

Best Publications

  • A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

    Kendrik Yan Hong Lim;Pai Zheng;Pai Zheng;Chun Hsien Chen

  • A systematic design approach for service innovation of smart product-service systems

    Pai Zheng;Pai Zheng;Tzu Jui Lin;Chun Hsien Chen;Xun Xu

  • A survey of smart product-service systems: Key aspects, challenges and future perspectives

    Pai Zheng;Zuoxu Wang;Chun Hsien Chen;Li Pheng Khoo

  • A review of digital twin in product design and development

    C.K. Lo;C.H. Chen;Ray Y. Zhong

  • Customer Requirement Management in Product Development: A Review of Research Issues

    Jianxin (Roger) Jiao;Chun-Hsien Chen

  • Review of life cycle assessment towards sustainable product development

    Danni Chang;C.K.M. Lee;Chun-Hsien Chen

  • A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

    Kam K.H. Ng;Kam K.H. Ng;Chun Hsien Chen;C. K.M. Lee;Jianxin (Roger) Jiao

  • Cloud asset-enabled integrated IoT platform for lean prefabricated construction

    Gangyan Xu;Gangyan Xu;Ming Li;Chun-Hsien Chen;Yongchang Wei

  • Project scheduling for collaborative product development using DSM

    Chun-Hsien Chen;Shih Fu Ling;Wei Chen

  • A digital twin-enhanced system for engineering product family design and optimization

    Kendrik Yan Hong Lim;Pai Zheng;Chun Hsien Chen;Lihui Huang

  • American sign language recognition and training method with recurrent neural network

    Carman K. M. Lee;Kam K. H. Ng;Chun-Hsien Chen;Henry C. W. Lau

  • A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network

    Chun-Hsien Chen;Li Pheng Khoo;Wei Yan

  • A numerical algorithm of fuzzy reliability

    Qimi Jiang;Chun-Hsien Chen

  • A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment

    Pai Zheng;Pai Zheng;Xun Xu;Chun-Hsien Chen

  • A novel data-driven graph-based requirement elicitation framework in the smart product-service system context

    Zuoxu Wang;Chun Hsien Chen;Pai Zheng;Xinyu Li

  • A Knowledge Graph-Aided Concept–Knowledge Approach for Evolutionary Smart Product–Service System Development

    Xinyu Li;Xinyu Li;Chun Hsien Chen;Pai Zheng;Zuoxu Wang

  • Smart, connected open architecture product : an IT-driven co-creation paradigm with lifecycle personalization concerns

    Pai Zheng;Pai Zheng;Yuan Lin;Chun Hsien Chen;Xun Xu

  • A data-driven reversible framework for achieving Sustainable Smart product-service systems

    Xinyu Li;Zuoxu Wang;Chun Hsien Chen;Pai Zheng

  • A structural service innovation approach for designing smart product service systems: Case study of smart beauty service

    Ching-Hung Lee;Chun-Hsien Chen;Amy J.C. Trappey

  • Products classification in emotional design using a basic-emotion based semantic differential method

    Yuexiang Huang;Chun-Hsien Chen;Li Pheng Khoo

  • Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach

    Pai Zheng;Chun-Hsien Chen;Suiyue Shang

Frequent Co-Authors

Li Pheng Khoo
Li Pheng Khoo Nanyang Technological University
Pai Zheng
Pai Zheng Hong Kong Polytechnic University
Xingda Qu
Xingda Qu Shenzhen University
Carman K. M. Lee
Carman K. M. Lee Hong Kong Polytechnic University
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Amy J. C. Trappey
Amy J. C. Trappey National Tsing Hua University
Xun Xu
Xun Xu University of Auckland
Jianxin Jiao
Jianxin Jiao Georgia Institute of Technology
George Q. Huang
George Q. Huang Hong Kong Polytechnic University
Kah Fai Leong
Kah Fai Leong Nanyang Technological University

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