Jian Sun

7.6k total citations · 1 hit paper
320 papers, 5.4k citations indexed

About

Jian Sun is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Jian Sun has authored 320 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Control and Systems Engineering, 125 papers in Building and Construction and 115 papers in Transportation. Recurrent topics in Jian Sun's work include Traffic control and management (143 papers), Traffic Prediction and Management Techniques (122 papers) and Transportation Planning and Optimization (109 papers). Jian Sun is often cited by papers focused on Traffic control and management (143 papers), Traffic Prediction and Management Techniques (122 papers) and Transportation Planning and Optimization (109 papers). Jian Sun collaborates with scholars based in China, United States and Australia. Jian Sun's co-authors include Jie Sun, Zuduo Zheng, Ye Tian, Xiangwang Hu, Zian Ma, Haoqiang Fan, Keshuang Tang, Yisheng He, Li Zhao and Guoyang Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Chemical Engineering Journal.

In The Last Decade

Jian Sun

290 papers receiving 5.2k citations

Hit Papers

PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for ... 2020 2026 2022 2024 2020 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
Jian Sun China 37 3.0k 2.0k 1.8k 1.7k 1.2k 320 5.4k
Eleni I. Vlahogianni Greece 36 2.3k 0.8× 1.3k 0.7× 3.8k 2.1× 3.2k 1.9× 1.1k 0.9× 172 6.1k
Jinjun Tang China 39 1.3k 0.4× 1.1k 0.5× 2.2k 1.2× 2.4k 1.4× 836 0.7× 182 5.0k
Bin Ran United States 47 3.5k 1.2× 2.4k 1.2× 3.0k 1.7× 3.9k 2.2× 926 0.8× 389 7.7k
Benjamin Coifman United States 28 1.6k 0.5× 1.0k 0.5× 1.9k 1.1× 1.3k 0.8× 523 0.4× 131 3.7k
Darcy M. Bullock United States 34 2.4k 0.8× 762 0.4× 2.6k 1.4× 2.3k 1.3× 1.1k 0.9× 368 4.7k
Zhengbing He China 32 2.0k 0.7× 1.5k 0.8× 2.4k 1.3× 2.4k 1.4× 573 0.5× 125 4.6k
Xiangmo Zhao China 35 1.8k 0.6× 2.1k 1.0× 822 0.4× 939 0.5× 492 0.4× 282 4.7k
Jianqiang Wang China 43 4.4k 1.5× 4.7k 2.3× 1.3k 0.7× 1.2k 0.7× 1.3k 1.1× 293 7.9k
Vicente Milanés Spain 31 3.7k 1.2× 3.5k 1.7× 905 0.5× 1.3k 0.8× 592 0.5× 100 5.6k
Hao Wang China 33 2.2k 0.7× 1.4k 0.7× 1.0k 0.6× 1.5k 0.8× 716 0.6× 302 3.9k

Countries citing papers authored by Jian Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jian Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Sun. A scholar is included among the top collaborators of Jian Sun 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 Jian Sun. Jian Sun 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
3.
Ye, Yun, et al.. (2025). Distance-Informed Neural Eikonal Solver for Reactive Dynamic User-Equilibrium of Macroscopic Continuum Traffic Flow Model. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8162–8177. 1 indexed citations
4.
Hang, Peng, et al.. (2024). Reasoning graph-based reinforcement learning to cooperate mixed connected and autonomous traffic at unsignalized intersections. Transportation Research Part C Emerging Technologies. 167. 104807–104807. 9 indexed citations
5.
Sun, Jian, et al.. (2024). Managing network congestion with link-based incentives: A surrogate-based optimization approach. Transportation Research Part A Policy and Practice. 182. 104033–104033. 3 indexed citations
6.
Chen, Peng, et al.. (2024). Safety performance evaluation of freeway merging areas under autonomous vehicles environment using a co-simulation platform. Accident Analysis & Prevention. 199. 107530–107530. 19 indexed citations
7.
Qin, Guoyang, et al.. (2024). A macro-micro approach to reconstructing vehicle trajectories on multi-lane freeways with lane changing. Transportation Research Part C Emerging Technologies. 160. 104534–104534. 4 indexed citations
8.
Hang, Peng, et al.. (2024). Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic Approach. IEEE Transactions on Intelligent Vehicles. 1–15. 7 indexed citations
9.
Ni, Ying, et al.. (2024). Understanding Interaction Strategies in Groups: A Two-Layer Interaction Model for Multi-Cyclist Motion Prediction. IEEE Transactions on Intelligent Vehicles. 10(2). 1365–1378.
10.
Tian, Ye, et al.. (2023). Public or private? Optimal organization for incentive-based travel demand management. Transportation Research Part E Logistics and Transportation Review. 174. 103137–103137. 13 indexed citations
11.
Tian, Ye, et al.. (2023). Managing ridesharing with incentives in a bottleneck model. Research in Transportation Economics. 101. 101349–101349. 3 indexed citations
12.
Nie, Tong, Guoyang Qin, Yunpeng Wang, & Jian Sun. (2023). Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs. Transportation Research Part C Emerging Technologies. 157. 104402–104402. 12 indexed citations
13.
Sun, Jian, et al.. (2019). Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment. Transportation Research Part C Emerging Technologies. 107. 155–170. 131 indexed citations
14.
Sun, Jie, et al.. (2019). Simultaneous modeling of car-following and lane-changing behaviors using deep learning. Transportation Research Part C Emerging Technologies. 104. 287–304. 149 indexed citations
15.
Ni, Ying, et al.. (2018). Modeling and Simulation of the Heterogeneous Non-motor Traffic Flow on Physically Separated Bicycle Roadways in China. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
16.
Tie, Boqing, et al.. (2017). The Key Period of Cadmium Accumulation in Rice. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Dong, Chunjiao, et al.. (2016). Effects of Roadway Geometric Design Features on the Occurrences of Truck-Related Crashes. 2 indexed citations
18.
Sun, Jian, Jianbing Wang, & Jie Sun. (2014). Safety Influencing Factors Assessment of Expressway Exit Ramps in Shanghai. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
19.
Sun, Jian & Jie Sun. (2014). Proactive assessment of real-time traffic flow accident risk on urban expressway. Journal of Tongji University. 42(6). 873–879. 5 indexed citations
20.
Sun, Jian. (2007). Count Location Selection for OD Matrix Estimation. Computer Communications. 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.

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