Pinlong Cai

1.3k total citations · 3 hit papers
30 papers, 694 citations indexed

About

Pinlong Cai is a scholar working on Control and Systems Engineering, Automotive Engineering and Building and Construction. According to data from OpenAlex, Pinlong Cai has authored 30 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 12 papers in Automotive Engineering and 12 papers in Building and Construction. Recurrent topics in Pinlong Cai's work include Traffic control and management (15 papers), Traffic Prediction and Management Techniques (12 papers) and Autonomous Vehicle Technology and Safety (9 papers). Pinlong Cai is often cited by papers focused on Traffic control and management (15 papers), Traffic Prediction and Management Techniques (12 papers) and Autonomous Vehicle Technology and Safety (9 papers). Pinlong Cai collaborates with scholars based in China, United Kingdom and United States. Pinlong Cai's co-authors include Guangquan Lu, Yunpeng Wang, Chuan Ding, Peng Chen, Jianping Sun, Yunpeng Wang, Daocheng Fu, Licheng Wen, Botian Shi and Yu Qiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Pinlong Cai

25 papers receiving 677 citations

Hit Papers

A spatiotemporal correlative k-nearest neighbor model for... 2015 2026 2018 2022 2015 2024 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pinlong Cai China 9 409 334 333 151 81 30 694
Angshuman Guin United States 14 377 0.9× 296 0.9× 328 1.0× 109 0.7× 49 0.6× 61 670
Qingchao Liu China 12 252 0.6× 178 0.5× 143 0.4× 140 0.9× 80 1.0× 58 587
Zeyu Yang China 13 225 0.6× 312 0.9× 267 0.8× 219 1.5× 145 1.8× 45 762
Jiwon Kim Australia 14 288 0.7× 246 0.7× 403 1.2× 207 1.4× 39 0.5× 45 769
Zhaosheng Yang China 13 304 0.7× 237 0.7× 229 0.7× 78 0.5× 58 0.7× 120 528
Toru Seo Japan 13 555 1.4× 620 1.9× 368 1.1× 256 1.7× 73 0.9× 41 858
Yilong Ren China 16 316 0.8× 271 0.8× 216 0.6× 208 1.4× 155 1.9× 85 831
Xiang Song China 13 298 0.7× 205 0.6× 337 1.0× 167 1.1× 52 0.6× 22 593
Jingqiu Guo China 17 328 0.8× 386 1.2× 308 0.9× 297 2.0× 60 0.7× 45 773
Fangce Guo United Kingdom 14 343 0.8× 214 0.6× 264 0.8× 119 0.8× 54 0.7× 31 520

Countries citing papers authored by Pinlong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Pinlong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinlong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Pinlong Cai. A scholar is included among the top collaborators of Pinlong Cai 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 Pinlong Cai. Pinlong Cai 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.
Liang, Xiao, et al.. (2025). A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents. Scientific Data. 12(1). 1261–1261. 1 indexed citations
2.
Fu, Daocheng, et al.. (2024). TrafficGPT: Viewing, processing and interacting with traffic foundation models. Transport Policy. 150. 95–105. 57 indexed citations breakdown →
3.
Fu, Daocheng, Licheng Wen, Pinlong Cai, et al.. (2024). LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving. 1084–1090. 16 indexed citations
4.
Ren, Yilong, Han Jiang, Pinlong Cai, et al.. (2024). AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention. 472–477. 7 indexed citations
5.
Li, Hongyang, Huijie Wang, Jia Zeng, et al.. (2024). 自动驾驶开源数据体系:现状与未来. Scientia Sinica Informationis.
6.
Wen, Licheng, Pinlong Cai, Daocheng Fu, et al.. (2023). How drivers perform under different scenarios: Ability-related driving style extraction for large-scale dataset. Accident Analysis & Prevention. 196. 107445–107445. 8 indexed citations
8.
Wen, Licheng, Daocheng Fu, Pinlong Cai, et al.. (2023). LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator. 1255–1262. 7 indexed citations
9.
Zhou, Jianshan, Daxin Tian, Xuting Duan, et al.. (2023). Delay-Optimal Cooperative Vehicle-Infrastructure Computing with IRS-Enhanced Secure Wireless Communications. 78. 1720–1725.
10.
Fu, Daocheng, et al.. (2023). Incremental path planning: Reservation system in V2X environment. Physica A Statistical Mechanics and its Applications. 623. 128914–128914. 7 indexed citations
11.
Cai, Pinlong & Guangquan Lu. (2023). Trajectory Guidance for Connected Human-Driving Vehicles through the Interactions between Drivers and Roadside Units. Journal of Transportation Engineering Part A Systems. 149(11). 1 indexed citations
12.
Wen, Licheng, et al.. (2023). Human-Like Decision Making at Unsignalized Intersections Using Social Value Orientation. IEEE Intelligent Transportation Systems Magazine. 16(2). 55–69. 4 indexed citations
13.
Yu, Yi, et al.. (2023). RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing. 5397–5402. 2 indexed citations
14.
Cai, Pinlong, Jia He, & Yikang Li. (2023). Hybrid cooperative intersection management for connected automated vehicles and pedestrians. SHILAP Revista de lepidopterología. 6(2). 91–101. 11 indexed citations
15.
Cai, Pinlong, Junjie Zhang, Xuan Zhao, & Yikang Li. (2022). General Driving Behavior Model based on the Desired Safety Margin for Vehicle Flow Simulation. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 743–748. 3 indexed citations
16.
Wang, Yunpeng, Pinlong Cai, & Guangquan Lu. (2020). Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks. Transportation Research Part C Emerging Technologies. 111. 458–476. 90 indexed citations
17.
Cai, Pinlong, Yunpeng Wang, & Guangquan Lu. (2018). Tunable and Transferable RBF Model for Short-Term Traffic Forecasting. IEEE Transactions on Intelligent Transportation Systems. 20(11). 4134–4144. 18 indexed citations
18.
Cai, Pinlong, Hao Chen, & Jingxin Zhang. (2017). An adaptive multi-kernel RBF model using state matching. 39. 163–167. 1 indexed citations
19.
Cai, Pinlong, Yunpeng Wang, Guangquan Lu, et al.. (2015). A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting. Transportation Research Part C Emerging Technologies. 62. 21–34. 347 indexed citations breakdown →
20.
Cai, Pinlong, Yunpeng Wang, Guangquan Lu, & Peng Chen. (2015). An Improved K-Nearest Neighbor Model for Road Speed Forecast Based on Spatiotemporal Correlation. 1. 342–351. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026