World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5743
World Ranking
8520
National Ranking
1113

Zhiqiang Geng 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 Zhiqiang Geng 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Zhiqiang Geng 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 Zhiqiang Geng 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: 42 D-Index — 43rd percentile

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

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

Overview

Zhiqiang Geng is affiliated with Beijing University of Chemical Technology in China. Their research spans multiple fields primarily related to engineering and computer science, with significant contributions in control and systems engineering, artificial intelligence, and electrical and electronic engineering.

The scientist's work focuses on topics including:

  • Fault Detection and Control Systems
  • Energy Load and Power Forecasting
  • Spectroscopy and Chemometric Analyses
  • Neural Networks and Applications
  • Process Optimization and Integration
  • Machine Learning and ELM
  • Mineral Processing and Grinding

Zhiqiang Geng has published extensively, with a considerable number of papers appearing in journals such as Energy, SSRN Electronic Journal, IEEE Transactions on Industrial Informatics, Expert Systems with Applications, and Journal of Cleaner Production.

Recent notable papers include:

  • "Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes," 2021, IEEE Transactions on Industrial Informatics
  • "Novel leakage detection and water loss management of urban water supply network using multiscale neural networks," 2020, Journal of Cleaner Production
  • "Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter," 2021, IEEE Transactions on Cybernetics
  • "Economy and carbon dioxide emissions effects of energy structures in the world: Evidence based on SBM-DEA model," 2020, The Science of The Total Environment
  • "An optimized long short-term memory network based fault diagnosis model for chemical processes," 2020, Journal of Process Control

The scientist frequently collaborates with other researchers, including Yongming Han, Xuan Hu, Jinzhen Fan, Chong Chu, and Mingfei Feng.

Additional contributions include a book published by Frontiers Media titled Energy Efficiency Analysis and Intelligent Optimization of Process Industry, released in 2023.

Best Publications

  • Review: Multi-objective optimization methods and application in energy saving

    Yunfei Cui;Yunfei Cui;Zhiqiang Geng;Zhiqiang Geng;Qunxiong Zhu;Qunxiong Zhu;Yongming Han;Yongming Han

  • Semantic relation extraction using sequential and tree-structured LSTM with attention

    ZhiQiang Geng;ZhiQiang Geng;GuoFei Chen;GuoFei Chen;YongMing Han;YongMing Han;Gang Lu;Gang Lu

  • Novel Transformer based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes

    Zhiqiang Geng;Zhiwei Chen;Qingchao Meng;Yongming Han

  • Novel leakage detection and water loss management of urban water supply network using multiscale neural networks

    Xuan Hu;Xuan Hu;Yongming Han;Yongming Han;Bin Yu;Zhiqiang Geng;Zhiqiang Geng

  • Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry

    Yongming Han;Yongming Han;Zhiqiang Geng;Zhiqiang Geng;Qunxiong Zhu;Qunxiong Zhu;Yixin Qu

  • Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter

    Yongming Han;Wang Qi;Ning Ding;Zhiqiang Geng

  • Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy.

    Yongming Han;Chang Long;Zhiqiang Geng;Zhiqiang Geng;Keyu Zhang

  • Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature

    Zhiqiang Geng;Zhiqiang Geng;Yanhui Zhang;Yanhui Zhang;Chengfei Li;Yongming Han;Yongming Han

  • A novel data envelopment analysis cross-model integrating interpretative structural model and analytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to ethylene industries

    Yongming Han;Yongming Han;Rundong Zhou;Rundong Zhou;Zhiqiang Geng;Zhiqiang Geng;Ju Bai;Ju Bai

  • An optimized long short-term memory network based fault diagnosis model for chemical processes

    Yongming Han;Yongming Han;Ning Ding;Ning Ding;Zhiqiang Geng;Zhiqiang Geng;Zun Wang;Zun Wang

  • Joint entity and relation extraction model based on rich semantics

    Zhiqiang Geng;Zhiqiang Geng;Yanhui Zhang;Yanhui Zhang;Yongming Han;Yongming Han

  • Data driven soft sensor development for complex chemical processes using extreme learning machine

    Yan-Lin He;Yan-Lin He;Zhi-Qiang Geng;Zhi-Qiang Geng;Qun-Xiong Zhu;Qun-Xiong Zhu

  • Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries

    Zhiqiang Geng;Zhiqiang Geng;Rongfu Zeng;Rongfu Zeng;Yongming Han;Yongming Han;Yanhua Zhong

  • Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

    ZhiQiang Geng;ZhiQiang Geng;Lin Qin;Lin Qin;YongMing Han;YongMing Han;QunXiong Zhu;QunXiong Zhu

  • Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes

    ZhiQiang Geng;ZhiQiang Geng;JunGen Dong;JunGen Dong;YongMing Han;YongMing Han;QunXiong Zhu;QunXiong Zhu

  • Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety

    ZhiQiang Geng;ZhiQiang Geng;ShanShan Zhao;ShanShan Zhao;GuangCan Tao;YongMing Han;YongMing Han

  • Multiscale Nonlinear Principal Component Analysis (NLPCA) and Its Application for Chemical Process Monitoring

    Zhiqiang Geng;Qunxiong Zhu

  • Economy and carbon emissions optimization of different countries or areas in the world using an improved Attention mechanism based long short term memory neural network.

    Xiaoyong Lin;Xiaoyong Lin;Xiaopeng Zhu;Xiaopeng Zhu;Mingfei Feng;Yongming Han;Yongming Han

  • Multi-objective Particle Swarm Optimization Hybrid Algorithm: An Application on Industrial Cracking Furnace

    Chengfei Li;Qunxiong Zhu;Zhiqiang Geng

  • Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism

    Yongming Han;Yongming Han;Chenyu Fan;Chenyu Fan;Meng Xu;Meng Xu;Zhiqiang Geng;Zhiqiang Geng

  • Intelligent Small Sample Defect Detection of Water Walls in Power Plants Using Novel Deep Learning Integrating Deep Convolutional GAN

    Unknown

  • Rough set-based heuristic hybrid recognizer and its application in fault diagnosis

    Zhiqiang Geng;Qunxiong Zhu

  • Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment analysis

    Yong-Ming Han;Yong-Ming Han;Zhi-Qiang Geng;Zhi-Qiang Geng;Qun-Xiong Zhu;Qun-Xiong Zhu

Frequent Co-Authors

Qunxiong Zhu
Qunxiong Zhu Beijing University of Chemical Technology
Nael H. El-Farra
Nael H. El-Farra University of California, Davis
Tingrui Pan
Tingrui Pan University of California, Davis

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

Pursuing a degree in Computer Science offers a variety of academic and career options. Increasingly, students are considering online learning due to its flexibility and affordability. For those aiming to expand their qualifications, earning one of the most valuable masters degrees can open doors to high-demand roles in tech fields such as data science, cybersecurity, and artificial intelligence.

If you’re starting your academic journey or seeking a foundational credential, an online associate's degree in computer science is a flexible path to entry-level jobs or a stepping stone to further study. For those concerned about costs, researching the cheapest online college options can help you minimize student debt while still receiving a quality education.

Many universities now offer pathways for students with varied academic backgrounds. If your GPA is a concern, check out the universities for low gpa—these institutions make computer science degrees more accessible, helping you take the first step toward a rewarding career.

Best Scientists Citing Zhiqiang Geng

Trending Scientists

Recently Published Articles