World's Best Scientists 2026 revealed!
Hu-Chen Liu

Hu-Chen Liu

D-Index & Metrics

Computer Science

D-Index
72
Citations
15740
World Ranking
1715
National Ranking
234

Hu-Chen Liu 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 Hu-Chen Liu 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: 190 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.

Hu-Chen Liu 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 Hu-Chen Liu 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Hu-Chen Liu is affiliated with Tongji University in China and specializes in Decision Sciences, with a focus on Management Science and Operations Research, Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology, Management of Technology and Innovation, and Computational Theory and Mathematics. Their research spans multiple interconnected fields, emphasizing the development and application of decision-making models and risk analysis methods.

The scientist's primary topics of work include Multi-Criteria Decision Making, Risk and Safety Analysis, Occupational Health and Safety Research, Quality Function Deployment in Product Design, Sustainable Supply Chain Management, Petri Nets in System Modeling, and Cognitive Computing and Networks. These topics reflect a broad engagement with both theoretical and applied research domains.

Liu's recent published papers encompass a range of themes. Notable works include:

  • "Failure mode and effect analysis improvement: A systematic literature review and future research agenda" (2020) published in Reliability Engineering & System Safety
  • "From total quality management to Quality 4.0: A systematic literature review and future research agenda" (2023) published in Frontiers of Engineering Management
  • "Two decades on human reliability analysis: A bibliometric analysis and literature review" (2020) published in Annals of Nuclear Energy
  • "New model for occupational health and safety risk assessment based on Fermatean fuzzy linguistic sets and CoCoSo approach" (2022) published in Applied Soft Computing
  • "An integrated multi-criteria decision making approach with linguistic hesitant fuzzy sets for E-learning website evaluation and selection" (2021) published in Applied Soft Computing

The scholar frequently collaborates with other researchers, among whom the most notable coauthors are Hua Shi, Ran Liu, Ling-Xiang Mao, Xun Mou, and Lin-Xiu Hou. These collaborations suggest a network of partnerships contributing to advancements in the relevant scientific fields.

Hu-Chen Liu has published multiple articles in various academic journals, with frequent publication venues including Applied Soft Computing, SSRN Electronic Journal, Mathematics, Reliability Engineering & System Safety, and International Journal of Intelligent Systems. This distribution indicates a sustained contribution to journals focusing on applied computational methods, engineering safety, and mathematical approaches in decision sciences.

Best Publications

  • Review: Risk evaluation approaches in failure mode and effects analysis: A literature review

    Hu-Chen Liu;Long Liu;Nan Liu

  • Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment

    Hu-Chen Liu;Long Liu;Nan Liu;Ling-Xiang Mao

  • A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method

    Hu-Chen Liu;Jian-Xin You;Xiao-Yue You;Meng-Meng Shan

  • DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

    Sheng-Li Si;Xiao-Yue You;Hu-Chen Liu;Ping Zhang

  • Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory

    Hu-Chen Liu;Long Liu;Qi-Hao Bian;Qin-Lian Lin

  • Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method

    Hu-Chen Liu;Li-En Wang;ZhiWu Li;Yu-Ping Hu

  • Failure mode and effects analysis using D numbers and grey relational projection method

    Hu-Chen Liu;Hu-Chen Liu;Jian-Xin You;Jian-Xin You;Xiao-Jun Fan;Qing-Lian Lin

  • New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method

    Jia Huang;Zhaojun(Steven) Li;Hu-Chen Liu

  • Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review

    Hu-Chen Liu;Xu-Qi Chen;Chun-Yan Duan;Ying-Ming Wang

  • Failure mode and effect analysis improvement: A systematic literature review and future research agenda

    Jia Huang;Jian-Xin You;Hu-Chen Liu;Ming-Shun Song

  • Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model

    Hu-Chen Liu;Hu-Chen Liu;Jian-Xin You;Jian-Xin You;Chao Lu;Yi-Zeng Chen

  • An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment

    Hu-Chen Liu;Hu-Chen Liu;Jian-Xin You;Chun-Yan Duan

  • Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information

    Xiao-Yue You;Jian-Xin You;Hu-Chen Liu;Lu Zhen

  • Fuzzy Petri nets for knowledge representation and reasoning

    Hu-Chen Liu;Jian-Xin You;ZhiWu Li;Guangdong Tian

  • An interval-valued intuitionistic fuzzy MABAC approach for material selection with incomplete weight information

    Yi-Xi Xue;Jian-Xin You;Xiao-Dong Lai;Hu-Chen Liu

  • Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method.

    Hu-Chen Liu;Jing Wu;Ping Li

  • Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment

    Hu-Chen Liu;Xiao-Jun Fan;Ping Li;Yi-Zeng Chen

  • Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environment

    Hao Zhao;Jian-Xin You;Hu-Chen Liu

  • Fuzzy Failure Mode and Effects Analysis Using Fuzzy Evidential Reasoning and Belief Rule-Based Methodology

    Hu-Chen Liu;Long Liu;Qing-Lian Lin

  • A new integrated MCDM model for sustainable supplier selection under interval-valued intuitionistic uncertain linguistic environment

    Hu-Chen Liu;Hu-Chen Liu;Mei-Yun Quan;ZhiWu Li;ZhiWu Li;Ze-Ling Wang

  • Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach

    Hu-Chen Liu;Jian-Xin You;Meng-Meng Shan;Lu-Ning Shao

  • FMEA Using Uncertainty Theories and MCDM Methods

    Hu-Chen Liu;Hu-Chen Liu

Frequent Co-Authors

Jian-Xin You
Jian-Xin You Tongji University
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Guangdong Tian
Guangdong Tian Shandong University
Lu Zhen
Lu Zhen Shanghai University
Xinguo Ming
Xinguo Ming Shanghai Jiao Tong University
Toshio Nakagawa
Toshio Nakagawa Aichi Institute of Technology
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Ke Rong
Ke Rong Tsinghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of related online degrees and career options, especially for students looking for flexible learning formats. Fields such as environmental and mechanical engineering are increasingly available through online colleges, making it easier to specialize without relocating. If sustainability interests you, check out top environmental engineering schools online for program options that tackle global challenges.

For those interested in the practical applications of physics or machinery, exploring a mechanical engineering degree online cost can help you plan your educational investment wisely. You can also gain strong analytical skills by pursuing a bachelor of science in physics online, which bridges quantitative theory with real-world innovation.

With data-driven jobs booming, Computer Science graduates can also enhance their career prospects by earning a data science degree. This allows you to dive deep into analytics, machine learning, and big data—skills that are highly valued in today’s tech-focused marketplace.

Best Scientists Citing Hu-Chen Liu

Trending Scientists

Recently Published Articles