Pinxi Wang

583 total citations
18 papers, 392 citations indexed

About

Pinxi Wang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Pinxi Wang has authored 18 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Automotive Engineering, 16 papers in Electrical and Electronic Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Pinxi Wang's work include Electric Vehicles and Infrastructure (16 papers), Transportation and Mobility Innovations (10 papers) and Advanced Battery Technologies Research (7 papers). Pinxi Wang is often cited by papers focused on Electric Vehicles and Infrastructure (16 papers), Transportation and Mobility Innovations (10 papers) and Advanced Battery Technologies Research (7 papers). Pinxi Wang collaborates with scholars based in China and Hong Kong. Pinxi Wang's co-authors include Chengxiang Zhuge, Xiong Yang, Shiqi Wang, Shengyou Wang, Chunfu Shao, Anthony Chen, Chunfu Shao, Yilun Li, Ye Yang and Zhongfu Tan and has published in prestigious journals such as Applied Energy, Energy and Resources Conservation and Recycling.

In The Last Decade

Pinxi Wang

17 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pinxi Wang China 11 338 309 84 47 41 18 392
Shiqi Wang China 11 280 0.8× 239 0.8× 57 0.7× 37 0.8× 46 1.1× 22 365
Rick Wolbertus Netherlands 9 494 1.5× 453 1.5× 107 1.3× 63 1.3× 31 0.8× 20 552
Teng Zeng United States 8 384 1.1× 372 1.2× 33 0.4× 38 0.8× 17 0.4× 16 440
Brennan Borlaug United States 9 429 1.3× 393 1.3× 106 1.3× 55 1.2× 17 0.4× 17 499
John Smart United States 12 663 2.0× 646 2.1× 111 1.3× 78 1.7× 22 0.5× 26 747
Charalampos Marmaras United Kingdom 7 432 1.3× 325 1.1× 74 0.9× 34 0.7× 24 0.6× 13 462
Alexander Schuller Germany 11 532 1.6× 411 1.3× 103 1.2× 11 0.2× 18 0.4× 23 589
Daniel Speth Germany 10 242 0.7× 209 0.7× 57 0.7× 30 0.6× 30 0.7× 21 319
Erotokritos Xydas United Kingdom 7 470 1.4× 377 1.2× 97 1.2× 36 0.8× 17 0.4× 10 503
Jaâfar Berrada France 7 201 0.6× 277 0.9× 37 0.4× 94 2.0× 39 1.0× 13 336

Countries citing papers authored by Pinxi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pinxi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinxi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pinxi Wang. A scholar is included among the top collaborators of Pinxi 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 Pinxi Wang. Pinxi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Li, Yuan, et al.. (2025). An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction. Applied Energy. 383. 125320–125320. 4 indexed citations
3.
4.
Wang, Shengyou, Anthony Chen, Pinxi Wang, & Chengxiang Zhuge. (2023). Predicting electric vehicle charging demand using a heterogeneous spatio-temporal graph convolutional network. Transportation Research Part C Emerging Technologies. 153. 104205–104205. 55 indexed citations
5.
Yang, Xiong, et al.. (2023). Exploring the potential of sharing private charging posts: A data-driven micro-simulation approach. Sustainable Cities and Society. 100. 105053–105053. 20 indexed citations
6.
Yang, Xiong, et al.. (2023). Seasonal variance in electric vehicle charging demand and its impacts on infrastructure deployment: A big data approach. Energy. 280. 128230–128230. 15 indexed citations
7.
Wang, Shengyou, Chengxiang Zhuge, Chunfu Shao, et al.. (2023). Short-term electric vehicle charging demand prediction: A deep learning approach. Applied Energy. 340. 121032–121032. 68 indexed citations
8.
Yang, Xiong, et al.. (2023). Dominant charging location choice of commuters and non-commuters: a big data approach. Transportation. 52(2). 439–466. 2 indexed citations
9.
Wang, Shengyou, Anthony Chen, Pinxi Wang, & Chengxiang Zhuge. (2023). Short-term electric vehicle battery swapping demand prediction: Deep learning methods. Transportation Research Part D Transport and Environment. 119. 103746–103746. 21 indexed citations
10.
Wang, Shiqi, et al.. (2022). Deploying Battery Swap Stations for Electric Freight Vehicles Based on Trajectory Data Analysis. IEEE Transactions on Transportation Electrification. 8(3). 3782–3800. 19 indexed citations
11.
Wang, Pinxi, et al.. (2022). Energy Security Planning for Hydrogen Fuel Cell Vehicles in Large-Scale Events: A Case Study of Beijing 2022 Winter Olympics. Automotive Innovation. 5(2). 209–220. 9 indexed citations
12.
Yang, Xiong, et al.. (2022). Characterizing mobility patterns of private electric vehicle users with trajectory data. Applied Energy. 321. 119417–119417. 29 indexed citations
13.
Yang, Xiong, et al.. (2021). Deploying battery swap stations for shared electric vehicles using trajectory data. Transportation Research Part D Transport and Environment. 97. 102943–102943. 70 indexed citations
14.
Tan, Zhongfu, Ye Yang, Pinxi Wang, & Yilun Li. (2021). Charging Behavior Analysis of New Energy Vehicles. Sustainability. 13(9). 4837–4837. 10 indexed citations
15.
Shao, Chunfu, et al.. (2021). Exploring the potential of rental electric vehicles for vehicle-to-grid: A data-driven approach. Resources Conservation and Recycling. 175. 105841–105841. 18 indexed citations
16.
Wang, Pinxi, et al.. (2021). Characteristics and attitudes of actual electric vehicle adopters from different classes of cities. Research in Transportation Business & Management. 43. 100728–100728. 6 indexed citations
17.
Shao, Chunfu, et al.. (2021). Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications. Transportation. 49(5). 1409–1439. 34 indexed citations
18.
Zhang, Lu, et al.. (2019). Prediction of Electric Vehicles Charging Behavior Based on the Data of Connected Vehicles. CICTP 2019. 4000–4011. 2 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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