World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
8194
World Ranking
4887
National Ranking
946

Bin Ning publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Bin Ning sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 187 publications — 43rd percentile

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

The last bar groups every scientist with 804 publications or more.

Bin Ning D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Bin Ning sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Bin Ning was affiliated with Beijing Jiaotong University in China. Their research contributions spanned multiple domains, predominantly focusing on medicine, computer science, and engineering.

The scientist authored several papers across diverse high-impact venues. Key publications included:

  • "An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models" (2020) published in Energy Conversion and Management
  • "Cross-Layer Defense Methods for Jamming-Resistant CBTC Systems" (2020) published in IEEE Transactions on Intelligent Transportation Systems
  • "Joint Security and Train Control Design in Blockchain-Empowered CBTC System" (2021) published in IEEE Internet of Things Journal
  • "L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance" (2023) published in Applied Soft Computing
  • "Sensitive magnetic particle imaging of haemoglobin degradation for the detection and monitoring of intraplaque haemorrhage in atherosclerosis" (2023) published in EBioMedicine

Their research topics and fields aligned with several main and subfields of study, including:

  • Main fields: Medicine, Computer Science, Engineering
  • Subfields: Artificial Intelligence, Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Renewable Energy, Sustainability and the Environment, Molecular Biology

Bin Ning's scientific work focused on an array of topics such as:

  • Photovoltaic System Optimization Techniques
  • Solar Radiation and Photovoltaics
  • Solar Thermal and Photovoltaic Systems
  • Bone fractures and treatments
  • Cancer-related molecular mechanisms research
  • Heart Failure Treatment and Management
  • Advanced Multi-Objective Optimization Algorithms

Frequent publication venues for their work included:

  • IEEE Access
  • Applied Soft Computing
  • Frontiers in Psychiatry
  • Research Square
  • International Journal of Swarm Intelligence Research

Bin Ning collaborated repeatedly with several coauthors, notably Qiong Gu, Chunyang Hu, Shuijia Li, Tao Guo, and Shihao Zhuang. The frequency of collaborations suggests ongoing research partnerships within their scientific community.

Best Publications

  • Big Data Analytics in Intelligent Transportation Systems: A Survey

    Li Zhu;Fei Richard Yu;Yige Wang;Bin Ning

  • Automatic Train Control System Development and Simulation for High-Speed Railways

    Hairong Dong;Bin Ning;Baigen Cai;Zhongsheng Hou

  • A Survey on Energy-Efficient Train Operation for Urban Rail Transit

    Xin Yang;Xiang Li;Bin Ning;Tao Tang

  • Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach

    Yihui Wang;Yihui Wang;Bart De Schutter;Ton J.J. van den Boom;Bin Ning

  • Passenger-demands-oriented train scheduling for an urban rail transit network

    Yihui Wang;Yihui Wang;Tao Tang;Bin Ning;Ton J.J. van den Boom

  • A Two-Objective Timetable Optimization Model in Subway Systems

    Xing Yang;Bin Ning;Xiang Li;Tao Tang

  • Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems

    Li Zhu;F. R. Yu;Bin Ning;Tao Tang

  • Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line

    Yihui Wang;Andrea D’Ariano;Jiateng Yin;Lingyun Meng

  • An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems

    Xin Yang;Xin Yang;Anthony Chen;Xiang Li;Bin Ning

  • Approximation-Based Robust Adaptive Automatic Train Control: An Approach for Actuator Saturation

    Shigen Gao;Hairong Dong;Yao Chen;Bin Ning

  • Computationally Inexpensive Tracking Control of High-Speed Trains With Traction/Braking Saturation

    Qi Song;Yong-duan Song;Tao Tang;Bin Ning

  • An Introduction to Parallel Control and Management for High-Speed Railway Systems

    Bin Ning;Tao Tang;Hairong Dong;Ding Wen

  • Efficient Bilevel Approach for Urban Rail Transit Operation With Stop-Skipping

    Yihui Wang;Bart De Schutter;Ton J. J. van den Boom;Bin Ning

  • Timetable Optimization for Regenerative Energy Utilization in Subway Systems

    Hongjie Liu;MengChu Zhou;Xiwang Guo;Zizhen Zhang

  • Cross-Layer Design for Video Transmissions in Metro Passenger Information Systems

    Li Zhu;F Richard Yu;Bin Ning;Tao Tang

  • A stochastic model for the integrated optimization on metro timetable and speed profile with uncertain train mass

    Xin Yang;Anthony Chen;Anthony Chen;Bin Ning;Tao Tang

  • Cooperative Prescribed Performance Tracking Control for Multiple High-Speed Trains in Moving Block Signaling System

    Shigen Gao;Hairong Dong;Bin Ning;Qi Zhang

  • Intelligent Railway Systems in China

    Bin Ning;Tao Tang;Ziyou Gao;Fei Yan

  • Cellular automaton model for railway traffic

    KePing Li;ZiYou Gao;Bin Ning

  • Fuzzy dynamic surface control for uncertain nonlinear systems under input saturation via truncated adaptation approach

    Shigen Gao;Bin Ning;Hairong Dong

  • A survey on optimal trajectory planning for train operations

    Yihui Wang;Bing Ning;Fang Cao;Bart De Schutter

  • Cooperative Control Synthesis and Stability Analysis of Multiple Trains Under Moving Signaling Systems

    Hairong Dong;Shigen Gao;Bin Ning

Frequent Co-Authors

Tao Tang
Tao Tang Beijing Jiaotong University
Bart De Schutter
Bart De Schutter Delft University of Technology
F. Richard Yu
F. Richard Yu Carleton University
Anthony Chen
Anthony Chen Hong Kong Polytechnic University
Clive J. Roberts
Clive J. Roberts University of Nottingham
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
B. De Schutter
B. De Schutter Delft University of Technology
Zongli Lin
Zongli Lin University of Virginia
Guanrong Chen
Guanrong Chen City University of Hong Kong
Kimon P. Valavanis
Kimon P. Valavanis University of Denver

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