World's Best Scientists 2026 revealed!
Qing-Shan Jia

Qing-Shan Jia

D-Index & Metrics

Computer Science

D-Index
37
Citations
6244
World Ranking
10697
National Ranking
1314

Qing-Shan Jia 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 Qing-Shan Jia 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: 200 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Qing-Shan Jia 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 Qing-Shan Jia 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Qing-Shan Jia is affiliated with Tsinghua University in China and has a significant research presence in the fields of Engineering and Computer Science. Their work primarily focuses on Electrical and Electronic Engineering, Artificial Intelligence, Automotive Engineering, Control and Systems Engineering, and Computer Networks and Communications.

The scientist's research topics encompass several applied and theoretical areas. These include:

  • Electric Vehicles and Infrastructure
  • Advanced Battery Technologies Research
  • Reinforcement Learning in Robotics
  • Smart Grid Energy Management
  • Fault Detection and Control Systems
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Control Systems Optimization

Qing-Shan Jia has contributed to many scholarly articles published in various respected venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automation Science and Engineering
  • IFAC-PapersOnLine
  • SSRN Electronic Journal
  • Annual Reviews in Control

Among the recent papers associated with the scientist, several notable works include:

  • Artificial neural networks for water quality soft-sensing in wastewater treatment: a review, 2021, Artificial Intelligence Review
  • Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Efficient Real-Time EV Charging Scheduling via Ordinal Optimization, 2021, IEEE Transactions on Smart Grid
  • Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process, 2022, IEEE Transactions on Industrial Informatics
  • Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning, 2021, Neurocomputing

The list of frequent coauthors highlights collaborations mainly with:

  • Xiaohong Guan
  • Teng Long
  • Jing Bi
  • Junfei Qiao
  • Gongming Wang

Best Publications

  • Energy-Efficient Buildings Facilitated by Microgrid

    Xiaohong Guan;Zhanbo Xu;Qing-Shan Jia

  • Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality

    Junfeng Wu;Qing-Shan Jia;K. H. Johansson;Ling Shi

  • Ordinal Optimization: Soft Optimization for Hard Problems

    Yu-Chi Ho;Qian-Chuan Zhao;Qing-Shan Jia

  • Building Energy Management: Integrated Control of Active and Passive Heating, Cooling, Lighting, Shading, and Ventilation Systems

    Biao Sun;P. B. Luh;Qing-Shan Jia;Ziyan Jiang

  • Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

    Zhanbo Xu;Xiaohong Guan;Qing-Shan Jia;Jiang Wu

  • Artificial neural networks for water quality soft-sensing in wastewater treatment: a review

    Gongming Wang;Qing Shan Jia;Meng Chu Zhou;Jing Bi

  • Simulation optimization in the era of Industrial 4.0 and the Industrial Internet

    Jie Xu;Edward Huang;Liam Y. Hsieh;Loo Hay Lee

  • Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach

    Qilong Huang;Qing-Shan Jia;Zhifeng Qiu;Xiaohong Guan

  • Distributed Coordination of EV Charging with Renewable Energy in a Microgrid of Buildings

    Yu Yang;Qing-Shan Jia;Geert Deconinck;Xiaohong Guan

  • Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems

    Biao Sun;Peter B. Luh;Qing-Shan Jia;Zheng O'Neill

  • Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System

    Gongming Wang;Qing-Shan Jia;Junfei Qiao;Jing Bi

  • Method and system for evaluating building fire situation and instructing evacuation

    Lifeng Qiao;Hui Zhang;Rui Yang;Yanyan Chu

  • Decentralized EV-Based Charging Optimization With Building Integrated Wind Energy

    Yu Yang;Qing-Shan Jia;Xiaohong Guan;Xuan Zhang

  • Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration

    Qilong Huang;Qing-Shan Jia;Xiaohong Guan

  • Optimal Control of Multiroom HVAC System: An Event-Based Approach

    Zijian Wu;Qing-Shan Jia;Xiaohong Guan

  • A Multi-Timescale and Bilevel Coordination Approach for Matching Uncertain Wind Supply With EV Charging Demand

    Qilong Huang;Qing-Shan Jia;Xiaohong Guan

  • An RFID indoor positioning system by using weighted path loss and extreme learning machine

    Han Zou;Hengtao Wang;Lihua Xie;Qing-Shan Jia

  • An Indoor Localization Algorithm for Lighting Control using RFID

    Zi-Ning Zhen;Qing-Shan Jia;Chen Song;Xiaohong Guan

  • Efficient Real-Time EV Charging Scheduling via Ordinal Optimization

    Teng Long;Qing-Shan Jia;Gongming Wang;Yu Yang

  • Energy efficient buildings facilitated by micro grid

    Xiaohong Guan;Zhanbo Xu;Qingshan Jia

  • Platform and Algorithm Development for a RFID-Based Indoor Positioning System

    Han Zou;Lihua Xie;Qing-Shan Jia;Hengtao Wang

Frequent Co-Authors

Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Qianchuan Zhao
Qianchuan Zhao Tsinghua University
Yu-Chi Ho
Yu-Chi Ho Harvard University
Ling Shi
Ling Shi Hong Kong University of Science and Technology
Chun-Hung Chen
Chun-Hung Chen George Mason University
Junfei Qiao
Junfei Qiao Beijing University of Technology
Jing Bi
Jing Bi Beijing University of Technology
Peter B. Luh
Peter B. Luh University of Connecticut
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Han Zou
Han Zou University of California, Berkeley

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