World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10159
World Ranking
6144
National Ranking
49

Chih-Ming 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 Chih-Ming 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Chih-Ming 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 Chih-Ming 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Chih-Ming Chen is affiliated with National Chengchi University in Taiwan and has a research profile rooted primarily in computer science and psychology. The main fields of study include Computer Science with 41 publications and Psychology with 24. Their research spans several subfields, notably Developmental and Educational Psychology, Artificial Intelligence, Education, Computer Science Applications, and Information Systems.

The scholar's work focuses on diverse topics such as Innovative Teaching and Learning Methods, Online and Blended Learning, Educational Games and Gamification, Online Learning and Analytics, Advanced Text Analysis Techniques, Antibiotic Resistance in Bacteria, and Advanced Graph Neural Networks.

Frequent coauthors collaborating with Chen include Ming-Chaun Li, Chung Chang, Jenn-Wei Chen, Han Hsiang Huang, and Joy Scaria. These partnerships have contributed to advancing research productivity and interdisciplinary insights.

Publication venues where Chen has frequently contributed include:

  • Computers & Education
  • DOAJ (DOAJ: Directory of Open Access Journals)
  • Interactive Learning Environments
  • Journal of Science Education and Technology
  • Aslib Journal of Information Management

Recent significant publications authored by Chen are:

  • The effects of web-based inquiry learning mode with the support of collaborative digital reading annotation system on information literacy instruction, 2022, Computers & Education
  • Developing a Topic Analysis Instant Feedback System to facilitate asynchronous online discussion effectiveness, 2020, Computers & Education
  • Lactobacillus plantarum PS128 Promotes Intestinal Motility, Mucin Production, and Serotonin Signaling in Mice, 2021, Probiotics and Antimicrobial Proteins
  • A game-based learning system based on octalysis gamification framework to promote employees' Japanese learning, 2023, Computers & Education
  • The effects of video-annotated learning and reviewing system with vocabulary learning mechanism on English listening comprehension and technology acceptance, 2020, Computer Assisted Language Learning

Best Publications

  • Personalized e-learning system using Item Response Theory

    Chih-Ming Chen;Hahn-Ming Lee;Ya-Hui Chen

  • Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle

    Chih-Ming Chen;Ching-Ju Chung

  • Effects of different video lecture types on sustained attention, emotion, cognitive load, and learning performance

    Chih-Ming Chen;Chung-Hsin Wu

  • Intelligent web-based learning system with personalized learning path guidance

    Chih-Ming Chen

  • Personalised Context-Aware Ubiquitous Learning System for Supporting Effective English Vocabulary Learning

    Chih-Ming Chen;Yi-Lun Li

  • An efficient fuzzy classifier with feature selection based on fuzzy entropy

    Hahn-Ming Lee;Chih-Ming Chen;Jyh-Ming Chen;Yu-Lu Jou

  • Personalized Intelligent M-learning System for Supporting Effective English Learning

    Chih-Ming Chen;Shih-Hsun Hsu;Yi-Lun Li;Chi-Jui Peng

  • Interactive Augmented Reality Game for Enhancing Library Instruction in Elementary Schools

    Yi-Shiang Wang;Chih-Ming Chen;Chin-Ming Hong;Yen-Nung Tsai

  • Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance

    Chih-Ming Chen

  • Personalized Intelligent Mobile Learning System for Supporting Effective English Learning

    Chih-Ming Chen;Shih-Hsun Hsu

  • Assessing the effects of different multimedia materials on emotions and learning performance for visual and verbal style learners

    Chih-Ming Chen;Ying-Chun Sun

  • HOP-rec: high-order proximity for implicit recommendation

    Jheng-Hong Yang;Chih-Ming Chen;Chuan-Ju Wang;Ming-Feng Tsai

  • Web-Based Reading Annotation System with an Attention-Based Self-Regulated Learning Mechanism for Promoting Reading Performance

    Chih-Ming Chen;Sheng-Hui Huang

  • Personalized curriculum sequencing utilizing modified item response theory for web-based instruction

    Chih-Ming Chen;Chao-Yu Liu;Mei-Hui Chang

  • Enhancing digital reading performance with a collaborative reading annotation system

    Chih-Ming Chen;Fang-Ya Chen

  • Personalized web-based tutoring system based on fuzzy item response theory

    Chih-Ming Chen;Ling-Jiun Duh

  • Mobile formative assessment tool based on data mining techniques for supporting web-based learning

    Chih-Ming Chen;Ming-Chuan Chen

  • Assessing the attention levels of students by using a novel attention aware system based on brainwave signals

    Chih‐Ming Chen;Jung‐Ying Wang;Chih‐Ming Yu

  • Ontology‐based concept map for planning a personalised learning path

    Chih-Ming Chen

  • Effects of a mobile game-based English vocabulary learning app on learners’ perceptions and learning performance: A case study of Taiwanese EFL learners

    Chih-Ming Chen;Huimei Liu;Hong-Bin Huang

  • Personalized Intelligent M-learning System for Supporting Effective English Learning

    Chih-Ming Chen;Shih-Hsun Hsu;陳志銘

Frequent Co-Authors

Sinn-wen Chen
Sinn-wen Chen National Tsing Hua University
Shien-Ping Feng
Shien-Ping Feng City University of Hong Kong
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Dong-Sing Wuu
Dong-Sing Wuu National Chi Nan University
Ray-Hua Horng
Ray-Hua Horng National Yang Ming Chiao Tung University
Yuh-Lang Lee
Yuh-Lang Lee National Cheng Kung University
Hsin Kai Wu
Hsin Kai Wu National Taiwan Normal University
Hao-Wu Lin
Hao-Wu Lin National Tsing Hua University
Zhouguang Lu
Zhouguang Lu Southern University of Science and Technology
Kuo-Chuan Ho
Kuo-Chuan Ho National Taiwan University

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