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2025

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Rising Stars

D-Index
34
Citations
3485
World Ranking
888
National Ranking
290

Engineering and Technology

D-Index
38
Citations
4655
World Ranking
8179
National Ranking
1443

Jianwei Li 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 Jianwei Li 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: 100 publications — 8th percentile

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

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

Jianwei Li 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 Jianwei Li 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: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Jianwei Li is affiliated with Qingdao University of Science and Technology in China. Their research primarily focuses on engineering, with a significant emphasis on electrical and electronic engineering, automotive engineering, control and systems engineering, aerospace engineering, and safety, risk, reliability, and quality. This multidisciplinary approach spans various fields related to energy management, vehicle technologies, and system optimization.

The scientist's recent publications cover topics such as fuel cells, battery technologies, hybrid vehicles, and energy management strategies. Notable papers include:

  • Investigation of optimal operating temperature for the PEMFC and its tracking control for energy saving in vehicle applications (2021, Energy Conversion and Management)
  • Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging (2022, IEEE Transactions on Power Electronics)
  • Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control (2023, Applied Energy)
  • A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness (2023, Energy)
  • An Improved Energy Management Strategy for Hybrid Electric Vehicles Integrating Multistates of Vehicle-Traffic Information (2021, IEEE Transactions on Transportation Electrification)

Jianwei Li collaborates frequently with several researchers, including:

  • Qingqing Yang
  • Hongwen He
  • Zhongbao Wei
  • Donghai Hu
  • Weitao Zou

Their work appears regularly in several scientific journals and publishing venues, with the most frequent being:

  • SSRN Electronic Journal
  • Energy
  • IEEE Transactions on Transportation Electrification
  • International Journal of Hydrogen Energy
  • Applied Energy

Jianwei Li's main topics of research span advanced battery technologies, electric and hybrid vehicle technologies, electric vehicles and infrastructure, fuel cells and related materials, microgrid control and optimization, combustion and detonation processes, and fire detection and safety systems.

This broad research portfolio reflects a comprehensive approach to advancing technology in energy conversion, storage, and transportation systems. The combination of system-level control strategies and component-specific optimization illustrates a strong focus on improving the efficiency and reliability of electric and hybrid vehicles as well as energy systems.

Best Publications

  • Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system

    Jianwei Li;Rui Xiong;Qingqing Yang;Fei Liang

  • Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging

    Unknown

  • Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model

    Jianwei Li;Anthony M. Gee;Min Zhang;Weijia Yuan

  • Investigation of optimal operating temperature for the PEMFC and its tracking control for energy saving in vehicle applications

    Donghai Hu;Yuteng Wang;Jianwei Li;Qingqing Yang

  • New ANN method for multi-terminal HVDC protection relaying

    Qingqing Yang;Simon Le Blond;Raj Aggarwal;Yawei Wang

  • Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control

    Unknown

  • A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness

    Unknown

  • Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology

    Shuangqi Li;Hongwen He;Jianwei Li

  • Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system

    Jianwei Li;Qingqing Yang;Francis Robinson;Fei Liang

  • Accurate battery pack modeling for automotive applications

    Jianwei Li;Michael S. Mazzola

  • A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

    Unknown

  • Design and application of superconducting fault current limiter in a multiterminal HVDC system

    Qingqing Yang;Simon Le Blond;Fei Liang;Weijia Yuan

  • SMES/Battery Hybrid Energy Storage System for Electric Buses

    Jianwei Li;Min Zhang;Qingqing Yang;Zhenyu Zhang

  • Stability Improvement of DC Power Systems in an All-Electric Ship Using Hybrid SMES/Battery

    Hamoud Alafnan;Min Zhang;Weijia Yuan;Jiahui Zhu

  • Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information

    Unknown

  • Battery Optimal Sizing under a Synergistic Framework with DQN Based Power Managements for the Fuel Cell Hybrid Powertrain

    Jianwei Li;Hanxiao Wang;Hongwen He;Zhongbao Wei

  • An Improved Energy Management Strategy for Hybrid Electric Vehicles Integrating Multistates of Vehicle-Traffic Information

    Hongwen He;Yunlong Wang;Jianwei Li;Jingwei Dou

  • Optimal Design of a Hybrid Energy Storage System in a Plug-In Hybrid Electric Vehicle for Battery Lifetime Improvement

    Yunfei Bai;Jianwei Li;Hongwen He;Ricardo Caneloi Dos Santos

  • Artificial Neural Network Based Fault Detection and Fault Location in the DC Microgrid

    Qingqing Yang;Jianwei Li;Simon Le Blond;Cheng Wang

  • A Comprehensive Review of Second Life Batteries Toward Sustainable Mechanisms: Potential, Challenges, and Future Prospects

    Unknown

  • Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems

    Jianwei Li;Xudong Wang;Zhenyu Zhang;Simon Le Blond

  • Boosting Grid Efficiency and Resiliency by Releasing V2G Potentiality Through a Novel Rolling Prediction-Decision Framework and Deep-LSTM Algorithm

    Shuangqi Li;Chenghong Gu;Jianwei Li;Hanxiao Wang

  • Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

    Jianwei Li;Jianwei Li;Rui Xiong;Hao Mu;Bertrand Cornélusse

  • Battery anti-aging control for a plug-in hybrid electric vehicle with a hierarchical optimization energy management strategy

    Yunfei Bai;Hongwen He;Jianwei Li;Shuangqi Li

  • Optimization of Bi-Directional V2G Behavior With Active Battery Anti-Aging Scheduling

    Shuangqi Li;Jianwei Li;Chang Su;Qingqing Yang

  • An improved vehicle to the grid method with battery longevity management in a microgrid application

    Qingqing Yang;Qingqing Yang;Jianwei Li;Jianwei Li;Jianwei Li;Wanke Cao;Shuangqi Li

Frequent Co-Authors

Hongwen He
Hongwen He Beijing Institute of Technology
Weijia Yuan
Weijia Yuan University of Strathclyde
Chenghong Gu
Chenghong Gu University of Bath
Zhongbao Wei
Zhongbao Wei Beijing Institute of Technology
Ming Xin
Ming Xin University of Missouri
Damien Ernst
Damien Ernst University of Liège
Rui Xiong
Rui Xiong Beijing Institute of Technology
Fengchun Sun
Fengchun Sun Beijing Institute of Technology
Zhaoyu Wang
Zhaoyu Wang Iowa State University
Raj Aggarwal
Raj Aggarwal University of Bath

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