Ping Wang

8.2k total citations · 1 hit paper
210 papers, 5.2k citations indexed

About

Ping Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Ping Wang has authored 210 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Electrical and Electronic Engineering, 76 papers in Control and Systems Engineering and 35 papers in Automotive Engineering. Recurrent topics in Ping Wang's work include Advanced DC-DC Converters (70 papers), Multilevel Inverters and Converters (55 papers) and Microgrid Control and Optimization (37 papers). Ping Wang is often cited by papers focused on Advanced DC-DC Converters (70 papers), Multilevel Inverters and Converters (55 papers) and Microgrid Control and Optimization (37 papers). Ping Wang collaborates with scholars based in China, Singapore and United Kingdom. Ping Wang's co-authors include Rongguang Ye, Dongwei Ren, Jinze Li, Zhaohui Zheng, Zixin Li, Ze Cheng, Yun Zhang, Yifeng Wang, Mark Sumner and Yaohua Li and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Journal of The Electrochemical Society.

In The Last Decade

Ping Wang

190 papers receiving 5.1k citations

Hit Papers

Distance-IoU Loss: Faster and Better Learning for Boundin... 2020 2026 2022 2024 2020 500 1000 1.5k 2.0k 2.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
    2020 2.6k citations Ping Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ping Wang China 27 2.2k 1.7k 891 823 497 210 5.2k
Martin Glavin Ireland 37 995 0.5× 1.1k 0.7× 322 0.4× 735 0.9× 74 0.1× 186 4.7k
Hongrui Wang China 34 1.1k 0.5× 469 0.3× 534 0.6× 257 0.3× 774 1.6× 222 4.0k
Hui Huang China 39 570 0.3× 2.4k 1.4× 308 0.3× 110 0.1× 245 0.5× 269 5.2k
Yahya Zweiri United Arab Emirates 31 394 0.2× 671 0.4× 839 0.9× 519 0.6× 213 0.4× 183 3.0k
Yu Kang China 43 855 0.4× 545 0.3× 2.5k 2.8× 477 0.6× 93 0.2× 349 6.1k
Jun Luo China 37 733 0.3× 529 0.3× 1.6k 1.7× 264 0.3× 213 0.4× 194 4.8k
Alexey Bochkovskiy Taiwan 2 564 0.3× 4.3k 2.5× 173 0.2× 379 0.5× 1.2k 2.4× 2 7.5k
Ronghui Zhang China 28 661 0.3× 516 0.3× 711 0.8× 907 1.1× 61 0.1× 201 3.1k
Davide Brunelli Italy 42 4.2k 1.9× 392 0.2× 378 0.4× 432 0.5× 67 0.1× 250 6.1k
Alireza Bab‐Hadiashar Australia 32 470 0.2× 820 0.5× 428 0.5× 609 0.7× 115 0.2× 171 3.1k

Countries citing papers authored by Ping Wang

Since Specialization
Citations

This map shows the geographic impact of Ping Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Wang more than expected).

Fields of papers citing papers by Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ping Wang. The network helps show where Ping Wang may publish in the future.

Co-authorship network of co-authors of Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Wang. A scholar is included among the top collaborators of Ping Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ping Wang. Ping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Ping, et al.. (2025). Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing. Sensors. 25(2). 302–302. 4 indexed citations
2.
Wang, Ping, et al.. (2024). Multiscale feature fusion approach to early fault diagnosis in EV power battery using operational data. Journal of Energy Storage. 98. 112812–112812. 8 indexed citations
3.
Wang, Ping, et al.. (2024). DC Bus Capacitance Identification Method Based on Frequency Domain Data Drive for EV Charging System. IEEE Transactions on Industrial Electronics. 71(10). 12223–12232. 4 indexed citations
4.
Zhang, Yun, Tong Li, Ping Wang, et al.. (2024). A PI Self-Tuning Method for Three-Phase PWM Rectifiers Based on Stability-and-Dynamics- Constrained Fuzzy Backpropagation Neural Network. IEEE Transactions on Power Electronics. 40(1). 2419–2428.
5.
Jiang, Feng, et al.. (2023). A Zero Current Ripple Bidirectional DC–DC Converter With High Voltage Gain and Common Ground for Hybrid Energy Storage System EVs. IEEE Journal of Emerging and Selected Topics in Power Electronics. 11(5). 4882–4894. 14 indexed citations
6.
Tao, Long, et al.. (2022). Robustness Optimization Through Modified Linear Active Disturbance Rejection Control for High-Voltage Load Interface in Microgrid. IEEE Transactions on Industrial Electronics. 70(4). 3909–3919. 15 indexed citations
7.
Chen, Bo, et al.. (2022). A High Efficiency and Wide Voltage Gain sLC_LCC DC–DC Converter With SiC Devices. IEEE Transactions on Power Electronics. 38(2). 2169–2180. 6 indexed citations
8.
Wang, Ping, et al.. (2022). Penalty and Barrier-Based Numerical Optimization for Efficiency and Power Density of Interleaved Buck/Boost Converter. IEEE Transactions on Power Electronics. 37(10). 12095–12107. 6 indexed citations
9.
Tao, Long, et al.. (2021). Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification. IEEE Transactions on Industrial Electronics. 69(6). 6236–6246. 22 indexed citations
10.
Wang, Ping, et al.. (2021). A New Coupled-Inductor-Based High-Gain Interleaved DC-DC Converter With Sustained Soft Switching. IEEE Transactions on Vehicular Technology. 70(7). 6527–6541. 18 indexed citations
11.
Wang, Ping, et al.. (2020). A Decentralized Automatic Load Power Allocation Strategy for Hybrid Energy Storage System. IEEE Transactions on Energy Conversion. 36(3). 2227–2238. 22 indexed citations
12.
13.
Wang, Ping, et al.. (2020). A Bidirectional DC–DC Converter With High Voltage Conversion Ratio and Zero Ripple Current for Battery Energy Storage System. IEEE Transactions on Power Electronics. 36(7). 8012–8027. 50 indexed citations
14.
Wang, Ping, et al.. (2020). Suppression Method of Current Harmonic for Three-Phase PWM Rectifier in EV Charging System. IEEE Transactions on Vehicular Technology. 69(9). 9634–9642. 38 indexed citations
15.
Wang, Ping, et al.. (2019). An Improved Deadbeat Control Method for Single-Phase PWM Rectifiers in Charging System for EVs. IEEE Transactions on Vehicular Technology. 68(10). 9672–9681. 52 indexed citations
16.
Chen, Bo, et al.. (2019). A Bidirectional CDT-LC Resonant DC–DC Converter With a Wide Voltage Range. IEEE Transactions on Industrial Electronics. 67(3). 2009–2020. 22 indexed citations
17.
18.
19.
Zhang, Yun, Lei Zhou, Mark Sumner, & Ping Wang. (2017). Single-Switch, Wide Voltage-Gain Range, Boost DC–DC Converter for Fuel Cell Vehicles. IEEE Transactions on Vehicular Technology. 67(1). 134–145. 82 indexed citations
20.
Wang, Huihui, Ping Wang, & Tao Liu. (2017). Power Quality Disturbance Classification Using the S-Transform and Probabilistic Neural Network. Energies. 10(1). 107–107. 66 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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