Dingsong Cui

962 total citations
21 papers, 620 citations indexed

About

Dingsong Cui is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Dingsong Cui has authored 21 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 19 papers in Electrical and Electronic Engineering and 5 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Dingsong Cui's work include Electric Vehicles and Infrastructure (18 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (6 papers). Dingsong Cui is often cited by papers focused on Electric Vehicles and Infrastructure (18 papers), Advanced Battery Technologies Research (14 papers) and Transportation and Mobility Innovations (6 papers). Dingsong Cui collaborates with scholars based in China, South Africa and United Kingdom. Dingsong Cui's co-authors include Zhenpo Wang, Peng Liu, David G. Dorrell, Xiaohui Li, Shuo Wang, Zhaosheng Zhang, Lei Zhang, Dirk Uwe Sauer, Christopher Hecht and Jan Figgener and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Electronics and Nature Energy.

In The Last Decade

Dingsong Cui

20 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingsong Cui China 13 525 507 72 59 30 21 620
Charalampos Marmaras United Kingdom 7 432 0.8× 325 0.6× 74 1.0× 52 0.9× 34 1.1× 13 462
Erotokritos Xydas United Kingdom 7 470 0.9× 377 0.7× 97 1.3× 50 0.8× 36 1.2× 10 503
Marco Pruckner Germany 14 604 1.2× 462 0.9× 117 1.6× 133 2.3× 33 1.1× 56 819
Zonggen Yi United States 16 627 1.2× 636 1.3× 49 0.7× 115 1.9× 74 2.5× 28 785
Yitong Shang China 15 755 1.4× 555 1.1× 75 1.0× 137 2.3× 15 0.5× 32 815
Xiaobin Zhang China 12 480 0.9× 510 1.0× 68 0.9× 68 1.2× 17 0.6× 18 639
Constance Crozier United States 12 494 0.9× 327 0.6× 57 0.8× 83 1.4× 16 0.5× 27 541
Fareed Ahmad India 10 587 1.1× 433 0.9× 50 0.7× 101 1.7× 11 0.4× 21 644
Sulabh Sachan India 12 461 0.9× 367 0.7× 46 0.6× 69 1.2× 16 0.5× 33 497
Alexandre Lucas Portugal 15 661 1.3× 414 0.8× 97 1.3× 211 3.6× 10 0.3× 31 778

Countries citing papers authored by Dingsong Cui

Since Specialization
Citations

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

Fields of papers citing papers by Dingsong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingsong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Dingsong Cui. A scholar is included among the top collaborators of Dingsong Cui 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 Dingsong Cui. Dingsong Cui 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.
Shang, Yitong, Wen‐Long Shang, Dingsong Cui, et al.. (2025). Spatio-temporal data fusion framework based on large language model for enhanced prediction of electric vehicle charging demand in smart grid management. Information Fusion. 126. 103692–103692. 1 indexed citations
2.
Cui, Dingsong, Peng Liu, & Zhenpo Wang. (2025). Assess changes in electric vehicle usage behaviour: Comparison between 2018 and 2021. Transportation Research Part D Transport and Environment. 141. 104661–104661. 5 indexed citations
3.
Zhang, Lei, Xiaohui Li, Zhijia Huang, et al.. (2025). Multi-objective charging scheduling for electric vehicles at charging stations with renewable energy generation. Green Energy and Intelligent Transportation. 4(4). 100283–100283. 7 indexed citations
4.
Li, Xiaohui, Zhenpo Wang, Lei Zhang, et al.. (2024). A comparative study of real-time coordinate charging schemes for residential electric vehicles. Journal of Energy Storage. 98. 113021–113021. 4 indexed citations
5.
Zhang, Shaojun, Paolo Santi, Dingsong Cui, et al.. (2024). Challenges and opportunities in truck electrification revealed by big operational data. Nature Energy. 9(11). 1427–1437. 22 indexed citations
6.
Deng, Junjun, Peng Liu, Lei Zhang, et al.. (2024). Enhancing battery durable operation: Multi-fault diagnosis and safety evaluation in series-connected lithium-ion battery systems. Applied Energy. 377. 124632–124632. 10 indexed citations
7.
8.
9.
Cui, Dingsong, et al.. (2023). Stacking regression technology with event profile for electric vehicle fast charging behavior prediction. Applied Energy. 336. 120798–120798. 21 indexed citations
10.
Wang, Zhenpo, et al.. (2023). Data-Driven Lithium-Ion Battery Degradation Evaluation Under Overcharge Cycling Conditions. IEEE Transactions on Power Electronics. 38(8). 10138–10150. 30 indexed citations
11.
Cui, Dingsong, Zhenpo Wang, Peng Liu, et al.. (2023). Coordinated Charging Scheme for Electric Vehicle Fast-Charging Station With Demand-Based Priority. IEEE Transactions on Transportation Electrification. 10(3). 6449–6459. 13 indexed citations
12.
Li, Xiaohui, Zhenpo Wang, Lei Zhang, et al.. (2023). Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview. Energy. 268. 126647–126647. 106 indexed citations
13.
Zhang, Jin, Zhenpo Wang, Eric J. Miller, et al.. (2023). Multi-period planning of locations and capacities of public charging stations. Journal of Energy Storage. 72. 108565–108565. 15 indexed citations
14.
Zhang, Zhaosheng, et al.. (2023). Data-driven battery state-of-health estimation and prediction using IC based features and coupled model. Journal of Energy Storage. 72. 108413–108413. 27 indexed citations
15.
Cui, Dingsong, Zhenpo Wang, Shuo Wang, et al.. (2023). An Empirical Understanding of Usage for Battery Swapping Electric Taxis in Beijing. 1–4.
16.
Cui, Dingsong, Zhenpo Wang, Peng Liu, et al.. (2022). Battery electric vehicle usage pattern analysis driven by massive real-world data. Energy. 250. 123837–123837. 93 indexed citations
17.
Zhang, Jin, Zhenpo Wang, Eric J. Miller, et al.. (2022). Charging demand prediction in Beijing based on real-world electric vehicle data. Journal of Energy Storage. 57. 106294–106294. 53 indexed citations
18.
Cui, Dingsong, Zhenpo Wang, Peng Liu, et al.. (2022). Operation optimization approaches of electric vehicle battery swapping and charging station: A literature review. Energy. 263. 126095–126095. 106 indexed citations
19.
Wang, Zhenpo, et al.. (2022). A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations. Energy. 258. 124723–124723. 72 indexed citations
20.
Cui, Dingsong, Zhenpo Wang, Zhaosheng Zhang, et al.. (2021). Driving Event Recognition of Battery Electric Taxi Based on Big Data Analysis. IEEE Transactions on Intelligent Transportation Systems. 23(7). 9200–9209. 14 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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