Pingfeng Wang

6.1k total citations · 2 hit papers
222 papers, 4.8k citations indexed

About

Pingfeng Wang is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Pingfeng Wang has authored 222 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Statistics, Probability and Uncertainty, 54 papers in Control and Systems Engineering and 52 papers in Electrical and Electronic Engineering. Recurrent topics in Pingfeng Wang's work include Probabilistic and Robust Engineering Design (57 papers), Reliability and Maintenance Optimization (46 papers) and Advanced Battery Technologies Research (36 papers). Pingfeng Wang is often cited by papers focused on Probabilistic and Robust Engineering Design (57 papers), Reliability and Maintenance Optimization (46 papers) and Advanced Battery Technologies Research (36 papers). Pingfeng Wang collaborates with scholars based in United States, South Korea and China. Pingfeng Wang's co-authors include Byeng D. Youn, Chao Hu, Zequn Wang, Prasanna Tamilselvan, Nita Yodo, Yanwen Xu, Zhimin Xi, Sara Kohtz, Zhuoyuan Zheng and Guangxing Bai and has published in prestigious journals such as ACS Nano, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Pingfeng Wang

202 papers receiving 4.6k citations

Hit Papers

Failure diagnosis using deep belief learning based health... 2013 2026 2017 2021 2013 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingfeng Wang United States 33 1.8k 1.5k 1.1k 870 809 222 4.8k
Zhen Hu United States 35 2.1k 1.2× 465 0.3× 1.1k 0.9× 429 0.5× 805 1.0× 228 4.6k
Yan‐Feng Li China 41 2.2k 1.2× 1.4k 0.9× 639 0.6× 2.1k 2.5× 1.2k 1.5× 198 5.5k
Hong‐Zhong Huang China 48 3.1k 1.7× 1.5k 1.0× 1.1k 1.0× 2.5k 2.9× 2.0k 2.5× 348 7.8k
Yu Liu China 33 1.4k 0.8× 547 0.4× 383 0.3× 1.7k 1.9× 411 0.5× 191 3.6k
Piero Baraldi Italy 38 1.0k 0.6× 1.8k 1.2× 396 0.3× 924 1.1× 639 0.8× 193 4.1k
Byeng D. Youn South Korea 52 3.8k 2.1× 2.4k 1.6× 2.3k 2.0× 1.2k 1.3× 2.4k 2.9× 296 10.2k
Yan‐Fu Li China 39 721 0.4× 1.6k 1.0× 297 0.3× 1.4k 1.6× 441 0.5× 170 5.1k
Xueguan Song China 34 532 0.3× 609 0.4× 1.3k 1.1× 182 0.2× 1.5k 1.9× 219 4.5k
Shankar Sankararaman United States 27 975 0.5× 739 0.5× 690 0.6× 398 0.5× 418 0.5× 88 2.4k
Yimin Zhang China 36 787 0.4× 1.4k 0.9× 963 0.8× 293 0.3× 2.6k 3.3× 329 5.2k

Countries citing papers authored by Pingfeng Wang

Since Specialization
Citations

This map shows the geographic impact of Pingfeng 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 Pingfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingfeng Wang more than expected).

Fields of papers citing papers by Pingfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingfeng 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 Pingfeng Wang. The network helps show where Pingfeng Wang may publish in the future.

Co-authorship network of co-authors of Pingfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pingfeng Wang. A scholar is included among the top collaborators of Pingfeng 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 Pingfeng Wang. Pingfeng 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.
Li, Binghui, et al.. (2025). Self-healing power systems using reinforcement learning over graphs for controlled grid islanding. Sustainable Energy Grids and Networks. 44. 101937–101937.
2.
Ahmed, Faez, Wei Chen, Christopher McComb, et al.. (2025). Special Issue: Design by Data: Cultivating Datasets for Engineering Design. Journal of Mechanical Design. 147(4). 1 indexed citations
4.
Zhao, Zilong, Guoquan Lv, Yanwen Xu, et al.. (2024). Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables. Renewable Energy. 225. 120279–120279. 10 indexed citations
5.
Liu, Zheng, Yanwen Xu, Yuan Jiang, et al.. (2024). Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 11(3). 3 indexed citations
7.
Liu, Zheng, et al.. (2024). Machine learning enhanced control co-design optimization of an immersion cooled battery thermal management system. Journal of Applied Physics. 136(2). 12 indexed citations
8.
Zheng, Zhuoyuan, Pingfeng Wang, Nelson F. F. Ebecken, et al.. (2023). Carbon net zero transition: A case study of hydrogen storage in offshore salt cavern. Journal of Energy Storage. 62. 106818–106818. 24 indexed citations
9.
Zheng, Zhuoyuan, Bo Pan, Yuquan Meng, et al.. (2023). Corrosion of Al-Fe self-pierce riveting joints with multiphysics-based modeling and experiments. Journal of Manufacturing Processes. 95. 434–445. 7 indexed citations
10.
Liu, Zheng, Jiaxin Wu, Wuchen Fu, et al.. (2023). Generative Design and Optimization of Battery Packs with Active Immersion Cooling. 1–5. 3 indexed citations
12.
Liu, Zheng, Marta C. Hatzell, Nicola H. Perry, et al.. (2023). A Comprehensive Comparison for Battery Cathode Leaching Processes. 1–5. 3 indexed citations
13.
Liu, Zheng, Jiaxin Wu, Wuchen Fu, et al.. (2023). Control Co-Design of Battery Packs With Immersion Cooling. 3 indexed citations
14.
Kohtz, Sara, et al.. (2023). A Gaussian Process Model with Indirect Health Indicators for Battery Prognosis. 1–6. 2 indexed citations
15.
Wu, Jiaxin, et al.. (2022). Spectral Graph Clustering for Intentional Islanding Operations in Resilient Hybrid Energy Systems. arXiv (Cornell University). 22 indexed citations
16.
Zheng, Zhuoyuan, Bo Chen, Yashraj Gurumukhi, et al.. (2019). Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. 1–6. 7 indexed citations
17.
Bai, Guangxing & Pingfeng Wang. (2016). An internal state variable mapping approach for Li-Plating diagnosis. Journal of Power Sources. 323. 115–124. 9 indexed citations
18.
Wu, Xiaohui, et al.. (2016). Which is a Better In-Vehicle Information Display? A Comparison of Google Glass and Smartphones. Journal of Display Technology. 1–1. 7 indexed citations
19.
Xi, Zhimin, et al.. (2014). A copula-based sampling method for data-driven prognostics. Reliability Engineering & System Safety. 132. 72–82. 41 indexed citations
20.
Hu, Chao, et al.. (2012). Statistical Health Grade System against Mechanical failures of Power Transformers. Annual Conference of the PHM Society. 4(1). 4 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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