World's Best Scientists 2026 revealed!
Ching-Ter Chang

Ching-Ter Chang

D-Index & Metrics

Computer Science

D-Index
30
Citations
5272
World Ranking
13939
National Ranking
131

Ching-Ter Chang 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 Ching-Ter Chang 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Ching-Ter Chang 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 Ching-Ter Chang 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Ching-Ter Chang is affiliated with Chang Gung University in Taiwan, focusing primarily on the field of Engineering. Their research spans several subfields including Economics and Econometrics, Control and Systems Engineering, Strategy and Management, Industrial and Manufacturing Engineering, and Management Science and Operations Research.

The scientist's work centers on key topics such as Optimization and Mathematical Programming, Energy, Environment, Economic Growth, Sustainable Supply Chain Management, Multi-Criteria Decision Making, Climate Change Policy and Economics, Energy, Environment, and Transportation Policies, and Global Health Care Issues.

Ching-Ter Chang has contributed to multiple publications in well-recognized venues. Their frequent publication sources include:

  • Computers & Industrial Engineering
  • Applied Soft Computing
  • Mathematical Problems in Engineering
  • Journal of Cleaner Production
  • Renewable Energy

Notable recent papers by Ching-Ter Chang include:

  • Integration of tradable green certificates trading and carbon emissions trading: How will Chinese power industry do? (2020, Journal of Cleaner Production)
  • Optimal pricing and remanufacturing mode in a closed-loop supply chain of WEEE under government fund policy (2020, Computers & Industrial Engineering)
  • An improved marine predators algorithm for shape optimization of developable Ball surfaces (2021, Engineering Applications of Artificial Intelligence)
  • China's renewable energy strategy and industrial adjustment policy (2021, Renewable Energy)
  • Monitoring and Early Warning of SMEs' Shutdown Risk under the Impact of Global Pandemic Shock (2023, Systems)

Ching-Ter Chang has frequently collaborated with a number of researchers, including:

  • Zhi Liu
  • Guo Wei
  • Xiaodong Cui
  • Xianyu Yu
  • Xiuzhi Sang

Best Publications

  • Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan

    Hsing-Chen Lee;Ching-Ter Chang;Ching-Ter Chang;Ching-Ter Chang

  • Examining the students behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach

    Ching-Ter Chang;Jeyhun Hajiyev;Chia-Rong Su

  • Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

    Kim Hua Tan;YuanZhu Zhan;Guojun Ji;Fei Ye

  • Multi-choice goal programming

    Ching-Ter Chang

  • Revised multi-choice goal programming

    Ching-Ter Chang

  • Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers

    Amy H. I. Lee;He-Yau Kang;Ching-Ter Chang

  • Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming

    Cheng-Yuan Ku;Ching Ter Chang;Hui Ping Ho;Hui Ping Ho

  • Service quality gaps of business customers in the shipping industry

    Kee-Kuo Chen;Ching-Ter Chang;Cheng-Sheng Lai

  • Multi-choice goal programming with utility functions

    Ching-Ter Chang

  • Optimal pricing and remanufacturing mode in a closed-loop supply chain of WEEE under government fund policy

    Xue-mei Zhang;Qian-wen Li;Zhi Liu;Ching-Ter Chang;Ching-Ter Chang;Ching-Ter Chang

  • Binary fuzzy goal programming approach to single model straight and U-shaped assembly line balancing

    Yakup Kara;Turan Paksoy;Ching-Ter Chang

  • Multi-choice goal programming model for the optimal location of renewable energy facilities

    Ching-Ter Chang

  • Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing

    Turan Paksoy;Ching-Ter Chang

  • An efficient linearization approach for mixed-integer problems

    Ching-Ter Chang

  • Binary fuzzy goal programming

    Ching-Ter Chang

  • Optimal recovery model in a used batteries closed-loop supply chain considering uncertain residual capacity

    Chang-Yi Liu;Hui Wang;Juan Tang;Ching-Ter Chang;Ching-Ter Chang;Ching-Ter Chang

  • A linearization method for mixed 0-1 polynomial programs

    Ching-Ter Chang;Chi-Chiao Chang

  • Approximately global optimization for assortment problems using piecewise linearization techniques

    Han-Lin Li;Ching Ter Chang;Jung Fa Tsai

  • On the location selection problem using analytic hierarchy process and multi-choice goal programming

    Hui-Ping Ho;Ching-Ter Chang;Cheng-Yuan Ku

  • Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam

    Shu Hsu Lin;Hsing-Chen Lee;Ching-Ter Chang;Ching-Ter Chang;Ching-Ter Chang;Changjui James Fu

  • On the polynomial mixed 0–1 fractional programming problems

    Ching-Ter Chang

Frequent Co-Authors

Kim Hua Tan
Kim Hua Tan University of Nottingham
Jiuh-Biing Sheu
Jiuh-Biing Sheu National Taiwan University
Shih-Wei Lin
Shih-Wei Lin Chang Gung University

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