World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7142
World Ranking
6925
National Ranking
928

Jiafu Tang 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 Jiafu Tang 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: 259 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Jiafu Tang 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 Jiafu Tang 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Jiafu Tang is affiliated with Dongbei University of Finance and Economics in China, with a research profile predominantly in engineering and business-related fields. Their body of work spans across several main fields including Engineering and Business, Management and Accounting.

The scientist's primary subfields include Industrial and Manufacturing Engineering, Automotive Engineering, Management Information Systems, Strategy and Management, and Management Science and Operations Research.

Their research focuses extensively on key topics such as:

  • Advanced Manufacturing and Logistics Optimization
  • Vehicle Routing Optimization Methods
  • Transportation and Mobility Innovations
  • Scheduling and Optimization Algorithms
  • Supply Chain and Inventory Management
  • Healthcare Operations and Scheduling Optimization
  • Transportation Planning and Optimization

Recent notable publications include:

  • "Branch-Cut-and-Price for the Time-Dependent Green Vehicle Routing Problem with Time Windows," 2022, INFORMS Journal on Computing
  • "An adaptive large neighborhood search for the larger-scale multi depot green vehicle routing problem with time windows," 2022, Journal of Cleaner Production
  • "How SERU production system improves manufacturing flexibility and firm performance: an empirical study in China," 2021, Annals of Operations Research
  • "Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms," 2021, Journal of Management Science and Engineering
  • "Online food ordering delivery strategies based on deep reinforcement learning," 2021, Applied Intelligence

The scientist has published frequently in several academic journals, including:

  • SSRN Electronic Journal (9 publications)
  • European Journal of Operational Research (5 publications)
  • Journal of Management Science and Engineering (4 publications)
  • International Journal of Production Research (4 publications)
  • International Journal of Production Economics (4 publications)

Jiafu Tang's work has often been conducted in collaboration with multiple coauthors, with frequent collaborators including Yang Yu (11 papers), Roberto Baldacci (7 papers), Yu Zhang (6 papers), Chongjun Yan (6 papers), and Chengkuan Zeng (6 papers).

Best Publications

  • A new approach to quality function deployment planning with financial consideration

    Jiafu Tang;Richard Y. K. Fung;Baodong Xu;Dingwei Wang

  • An application of swarm optimization to nonlinear programming

    Ying Dong;Jiafu Tang;Baodong Xu;Dingwei Wang

  • Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator

    Yizeng Chen;Richard Y.K. Fung;Jiafu Tang

  • Product design resources optimization using a non-linear fuzzy quality function deployment model

    R. Y. K. Fung;J. Tang;Y Tu;D. Wang

  • Estimating the functional relationships for quality function deployment under uncertainties

    Richard Y. K. Fung;Yizeng Chen;Jiafu Tang

  • An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importance

    Yanlai Li;Jiafu Tang;Xinggang Luo;Jie Xu

  • Fuzzy regression-based mathematical programming model for quality function deployment

    Y. Chen;J. Tang;R. Y. K. Fung;Z. Ren

  • Vehicle routing problem with fuzzy time windows

    Jiafu Tang;Zhendong Pan;Richard Y. K. Fung;Henry Lau

  • Capacitated dynamic lot sizing problems in closed-loop supply chain

    Zhendong Pan;Jiafu Tang;Ou Liu

  • Modeling and numerical analysis of line-cell conversion problems

    Ikou Kaku;Jun Gong;Jiafu Tang;Yong Yin

  • Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD

    Y. Chen;R. Y. K. Fung;J. Tang

  • Multiproduct aggregate production planning with fuzzy demands and fuzzy capacities

    R.Y.K. Fung;Jiafu Tang;Dingwei Wang

  • Mathematical analysis and solutions for multi-objective line-cell conversion problem

    Yang Yu;Jiafu Tang;Jun Gong;Yong Yin

  • Fuzzy formulation for multi-product aggregate production planning

    Jiafu Tang;Dingwei Wang;Richard Y. K. Fung

  • Multi-objective re-synchronizing of bus timetable: Model, complexity and solution

    Yinghui Wu;Hai Yang;Jiafu Tang;Yang Yu

  • Reducing worker(s) by converting assembly line into a pure cell system

    Yang Yu;Jiafu Tang;Wei Sun;Yong Yin

  • A stochastic optimization model for transit network timetable design to mitigate the randomness of traveling time by adding slack time

    Yinghui Wu;Jiafu Tang;Yang Yu;Zhendong Pan

  • Modelling of quality function deployment planning with resource allocation

    Richard Y. K. Fung;Jiafu Tang;Paul Yiliu Tu;Yizeng Chen

  • How to carry out assembly line–cell conversion? A discussion based on factor analysis of system performance improvements

    Yang Yu;Jun Gong;Jiafu Tang;Yong Yin

  • Line-hybrid seru system conversion: Models, complexities, properties, solutions and insights

    Unknown

  • Supplier pre-selection for platform-based products: a multi-objective approach

    Yan Cao;Xinggang Luo;C.K. Kwong;Jiafu Tang

  • A column-generation-based heuristic algorithm for solving operating theater planning problem under stochastic demand and surgery cancellation risk

    Yu Wang;Jiafu Tang;Richard Y.K. Fung

Frequent Co-Authors

Richard Y. K. Fung
Richard Y. K. Fung City University of Hong Kong
Dingwei Wang
Dingwei Wang Northeastern University
Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong
Zhi-Ping Fan
Zhi-Ping Fan Northeastern University
Henry C. W. Lau
Henry C. W. Lau Western Sydney University
Andrew Lim
Andrew Lim National University of Singapore
Jian-Bo Yang
Jian-Bo Yang University of Manchester
Hai Yang
Hai Yang Hong Kong University of Science and Technology
George Q. Huang
George Q. Huang Hong Kong Polytechnic University
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University

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