Jianwei Gong

3.2k total citations
164 papers, 2.3k citations indexed

About

Jianwei Gong is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jianwei Gong has authored 164 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Automotive Engineering, 83 papers in Computer Vision and Pattern Recognition and 58 papers in Control and Systems Engineering. Recurrent topics in Jianwei Gong's work include Autonomous Vehicle Technology and Safety (82 papers), Robotic Path Planning Algorithms (58 papers) and Traffic control and management (32 papers). Jianwei Gong is often cited by papers focused on Autonomous Vehicle Technology and Safety (82 papers), Robotic Path Planning Algorithms (58 papers) and Traffic control and management (32 papers). Jianwei Gong collaborates with scholars based in China, United States and United Kingdom. Jianwei Gong's co-authors include Huiyan Chen, Guangming Xiong, Chao Lu, Zirui Li, Junqiang Xi, Yanhua Jiang, Shengyan Zhou, Kai Liu, Wenshuo Wang and Yang Xing and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Jianwei Gong

155 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianwei Gong China 25 1.3k 916 717 274 270 164 2.3k
J. Marius Zöllner Germany 24 1.1k 0.8× 993 1.1× 605 0.8× 236 0.9× 409 1.5× 177 2.2k
José Eugenio Naranjo Spain 24 1.4k 1.1× 505 0.6× 980 1.4× 287 1.0× 247 0.9× 89 2.2k
Sébastien Glaser France 23 1.6k 1.2× 971 1.1× 982 1.4× 306 1.1× 306 1.1× 121 2.8k
Alexandros Mouzakitis United Kingdom 16 1.2k 0.9× 512 0.6× 759 1.1× 246 0.9× 339 1.3× 41 2.4k
David Fernández Llorca Spain 31 1.2k 0.9× 1.4k 1.6× 293 0.4× 283 1.0× 379 1.4× 120 2.9k
Moritz Werling Germany 14 1.7k 1.3× 1.3k 1.4× 979 1.4× 104 0.4× 346 1.3× 36 2.5k
Markus Maurer Germany 22 1.7k 1.2× 608 0.7× 778 1.1× 164 0.6× 386 1.4× 115 2.7k
Chao Huang China 35 1.7k 1.2× 1.1k 1.2× 1.3k 1.9× 284 1.0× 446 1.7× 194 4.0k
Xiaoxiang Na United Kingdom 25 1.3k 1.0× 350 0.4× 979 1.4× 204 0.7× 291 1.1× 68 2.6k
Stewart Worrall Australia 23 728 0.5× 1.2k 1.3× 282 0.4× 273 1.0× 263 1.0× 158 2.1k

Countries citing papers authored by Jianwei Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jianwei Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianwei Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jianwei Gong. A scholar is included among the top collaborators of Jianwei Gong 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 Jianwei Gong. Jianwei Gong 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.
Wang, Yuchun, et al.. (2025). Cross-Scenario End-to-End Motion Planning in Off-Road Environment: A Lifelong Learning Perspective. IEEE Robotics and Automation Letters. 10(3). 2223–2230. 2 indexed citations
2.
Gong, Jianwei, et al.. (2025). Mapping of US tobacco industry: Companies, products, histories, and market shares. Tobacco Prevention & Cessation. 11(January). 1–3.
3.
Gong, Jianwei, et al.. (2025). A spatio-temporal trajectory planning framework for AGVs based on motion primitive and dynamic programming in off-road environments. Advanced Engineering Informatics. 69. 103934–103934.
4.
Lu, Chao, et al.. (2024). Scenario-level knowledge transfer for motion planning of autonomous driving via successor representation. Transportation Research Part C Emerging Technologies. 169. 104899–104899. 1 indexed citations
5.
Zhou, Wei, et al.. (2024). Similarities Between Wheels and Tracks: A “Tire Model” for Tracked Vehicles. IEEE Transactions on Vehicular Technology. 73(11). 16416–16431. 4 indexed citations
6.
7.
Wang, Yuchun, et al.. (2024). Motion planning for off‐road autonomous driving based on human‐like cognition and weight adaptation. Journal of Field Robotics. 41(6). 1702–1723. 2 indexed citations
8.
Ju, Zhiyang, et al.. (2024). SRSU: An Online Road Map Detection and Network Estimation for Structured Bird's-Eye View Road Scene Understanding. IEEE Transactions on Intelligent Vehicles. 9(12). 7973–7986. 1 indexed citations
9.
Lu, Chao, et al.. (2023). Human-like decision making for lane change based on the cognitive map and hierarchical reinforcement learning. Transportation Research Part C Emerging Technologies. 156. 104328–104328. 14 indexed citations
10.
Li, Zirui, Cheng Gong, Xinwei Wang, et al.. (2023). Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges. SHILAP Revista de lepidopterología. 2(4). 100103–100103. 28 indexed citations
11.
Li, Zirui, et al.. (2023). Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2355–2372. 9 indexed citations
12.
Yang, Lin, et al.. (2022). Human-like Decision Making for Autonomous Vehicles at the Intersection Using Inverse Reinforcement Learning. Sensors. 22(12). 4500–4500. 8 indexed citations
13.
Wang, Yuchun, et al.. (2022). Off-road testing scenario design and library generation for intelligent vehicles. Green Energy and Intelligent Transportation. 1(3). 100013–100013. 6 indexed citations
14.
Chen, Huiyan, et al.. (2022). Generation and Selection of Driver-Behavior-Based Transferable Motion Primitives. Chinese Journal of Mechanical Engineering. 35(1). 1 indexed citations
15.
Liu, Kai, Jianwei Gong, Arda Kurt, Huiyan Chen, & Ümi̇t Özgüner. (2018). Dynamic Modeling and Control of High-Speed Automated Vehicles for Lane Change Maneuver. IEEE Transactions on Intelligent Vehicles. 3(3). 329–339. 102 indexed citations
16.
Liu, Kai, Jianwei Gong, Shuping Chen, Yu Zhang, & Huiyan Chen. (2018). Model Predictive Stabilization Control of High-Speed Autonomous Ground Vehicles Considering the Effect of Road Topography. Applied Sciences. 8(5). 822–822. 28 indexed citations
17.
Ling, Zhigang, Jianwei Gong, Guoliang Fan, & Xiao Lu. (2017). Optimal Transmission Estimation via Fog Density Perception for Efficient Single Image Defogging. IEEE Transactions on Multimedia. 20(7). 1699–1711. 30 indexed citations
18.
Jin, Min, et al.. (2017). Bionic Decision-Making Analysis during Urban Expressway Ramp Merging for Autonomous Vehicle. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Chen, Xuemei, et al.. (2016). Bionic Lane Driving Decision-Making Analysis for Autonomous Vehicle Under Complex Urban Environment. 5 indexed citations
20.
Zhou, Shengyan, Yanhua Jiang, Junqiang Xi, et al.. (2010). A novel lane detection based on geometrical model and Gabor filter. 59–64. 163 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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Breakdown of academic impact, for papers by J. Marius Zöllner Breakdown of academic impact, for papers by José Eugenio Naranjo Breakdown of academic impact, for papers by Sébastien Glaser Breakdown of academic impact, for papers by Alexandros Mouzakitis Breakdown of academic impact, for papers by David Fernández Llorca Breakdown of academic impact, for papers by Moritz Werling Breakdown of academic impact, for papers by Markus Maurer Breakdown of academic impact, for papers by Chao Huang Breakdown of academic impact, for papers by Xiaoxiang Na Breakdown of academic impact, for papers by Stewart Worrall
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