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D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4539
World Ranking
9412
National Ranking
1561

Binggang Cao 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 Binggang Cao 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Binggang Cao 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 Binggang Cao 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Binggang Cao is affiliated with Xi'an Jiaotong University in China, contributing research primarily in the fields of Engineering and Computer Science. Their work encompasses a range of specialized subfields including Signal Processing, Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, and Computational Mechanics.

The scientist's scholarly output includes publications in notable venues such as the International Journal of Electrical Power & Energy Systems, Radio Science, and the International Journal of Radiation Oncology*Biology*Physics. Their research spans multiple topics, with a focus on Advanced Battery Technologies Research, Advancements in Battery Materials, Fault Detection and Control Systems, Direction-of-Arrival Estimation Techniques, Speech and Audio Processing, Advanced Adaptive Filtering Techniques, and Social Media in Health Education.

Significant recent papers authored or coauthored by Binggang Cao include:

  • State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity (2020) - International Journal of Electrical Power & Energy Systems
  • Fast Joint DOA and Inter-Subarray Errors Estimation in Partly Calibrated Arrays (2024) - Radio Science
  • User Experience with Artificial Intelligence-Generated Research Education Podcast Series (2025) - International Journal of Radiation Oncology*Biology*Physics

Frequent collaborators in their research activities include Qingxia Yang, Jun Xu, Xiuqing Li, Dan Xu, and Qi Song. This network of coauthors reflects a collaborative approach spanning diverse technical domains linked to Cao's research interests.

Best Publications

  • The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer

    Jun Xu;Chunting Chris Mi;Binggang Cao;Junjun Deng

  • Three-dimensional thermal finite element modeling of lithium-ion battery in thermal abuse application

    Guifang Guo;Bo Long;Bo Cheng;Shiqiong Zhou

  • A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model

    Jun Xu;Jun Xu;Chunting Chris Mi;Binggang Cao;Junyi Cao

  • Design of Fractional Order Controllers Based on Particle Swarm Optimization

    Jun-yi Cao;Bing-gang Cao

  • Optimization of fractional order PID controllers based on genetic algorithms

    Jun-Yi Cao;Jin Liang;Bing-Gang Cao

  • A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter ☆

    Min Ye;Hui Guo;Binggang Cao

  • Component sizing optimization of plug-in hybrid electric vehicles

    Xiaolan Wu;Binggang Cao;Xueyan Li;Jun Xu

  • Optimal sizing of standalone hybrid wind/PV power systems using genetic algorithms

    Daming Xu;Longyun Kang;Liuchen Chang;Binggang Cao

  • Design of Fractional Order Controller Based on Particle Swarm Optimization

    Jun-Yi Cao;Bing-Gang Cao

  • Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online

    Bo Ning;Binggang Cao;Bin Wang;Zhongyue Zou

  • A novel multimode hybrid energy storage system and its energy management strategy for electric vehicles

    Bin Wang;Jun Xu;Binggang Cao;Xuan Zhou

  • Combined state of charge estimator for electric vehicle battery pack

    Unknown

  • Adaptive Sliding-Mode With Hysteresis Control Strategy for Simple Multimode Hybrid Energy Storage System in Electric Vehicles

    Bin Wang;Jun Xu;Rong-Jong Wai;Binggang Cao

  • State-of-health estimation of lithium-ion battery based on fractional impedance model and interval capacity

    Qingxia Yang;Jun Xu;Xiuqing Li;Dan Xu

  • Regenerative braking strategy for electric vehicles

    Unknown

  • Evaluation strategy of regenerative braking energy for supercapacitor vehicle

    Zhongyue Zou;Junyi Cao;Binggang Cao;Wen Chen

  • High-temperature digital image correlation method for full-field deformation measurement captured with filters at 2600°C using spraying to form speckle patterns

    Xiang Guo;Jin Liang;Zhengzong Tang;Binggang Cao

  • Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

    Zhongyue Zou;Jun Xu;Chris Mi;Binggang Cao

  • Artificial neural network maximum power point tracker for solar electric vehicle

    Theodore Amissah Ocran;Junyi Cao;Binggang Cao;Xinghua Sun

  • An online state of charge estimation method with reduced prior battery testing information

    Jun Xu;Binggang Cao;Zheng Chen;Zhongyue Zou

  • SOC Based Battery Cell Balancing with a Novel Topology and Reduced Component Count

    Jun Xu;Siqi Li;Chris Mi;Zheng Chen

  • Particle swarm optimization for plug-in hybrid electric vehicle control strategy parameter

    Xiaolan Wu;Binggang Cao;Jianping Wen;Yansheng Bian

  • A simplified fractional order impedance model and parameter identification method for lithium-ion batteries.

    Qingxia Yang;Jun Xu;Binggang Cao;Xiuqing Li

Frequent Co-Authors

Junyi Cao
Junyi Cao Xi'an Jiaotong University
Zheng Chen
Zheng Chen University of Houston
Chris Mi
Chris Mi San Diego State University
Rong-Jong Wai
Rong-Jong Wai National Taiwan University of Science and Technology

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