Kun Gao

2.5k total citations
120 papers, 1.6k citations indexed

About

Kun Gao is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Kun Gao has authored 120 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Transportation, 44 papers in Automotive Engineering and 24 papers in Building and Construction. Recurrent topics in Kun Gao's work include Transportation Planning and Optimization (37 papers), Urban Transport and Accessibility (28 papers) and Traffic control and management (19 papers). Kun Gao is often cited by papers focused on Transportation Planning and Optimization (37 papers), Urban Transport and Accessibility (28 papers) and Traffic control and management (19 papers). Kun Gao collaborates with scholars based in China, Sweden and United States. Kun Gao's co-authors include Xiaobo Qu, Ying Yang, Aoyong Li, Lijun Sun, Kay W. Axhausen, Pengxiang Zhao, Said M. Easa, Huizhao Tu, Lijun Sun and Roger Lee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Kun Gao

105 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Gao China 24 814 668 390 373 212 120 1.6k
Tom Bellemans Belgium 25 1.2k 1.5× 816 1.2× 445 1.1× 435 1.2× 158 0.7× 159 2.1k
Daniel Sun China 27 1.2k 1.4× 828 1.2× 675 1.7× 603 1.6× 119 0.6× 81 2.1k
Tomio Miwa Japan 20 869 1.1× 475 0.7× 393 1.0× 280 0.8× 101 0.5× 122 1.3k
Kevin Heaslip United States 19 614 0.8× 287 0.4× 437 1.1× 328 0.9× 247 1.2× 110 1.7k
Meng Li China 26 920 1.1× 659 1.0× 747 1.9× 855 2.3× 289 1.4× 125 2.2k
Huapu Lu China 21 903 1.1× 314 0.5× 655 1.7× 425 1.1× 90 0.4× 201 1.8k
Lin Cheng China 19 1.0k 1.2× 547 0.8× 316 0.8× 263 0.7× 136 0.6× 133 1.3k
Xianbiao Hu United States 18 502 0.6× 431 0.6× 343 0.9× 307 0.8× 113 0.5× 77 1.0k
Jun-Seok Oh United States 23 745 0.9× 315 0.5× 632 1.6× 519 1.4× 217 1.0× 141 1.9k
Prakash Ranjitkar New Zealand 21 559 0.7× 369 0.6× 411 1.1× 515 1.4× 172 0.8× 81 1.2k

Countries citing papers authored by Kun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Gao. A scholar is included among the top collaborators of Kun Gao 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 Kun Gao. Kun Gao 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.
Yu, Bo, et al.. (2025). Using a brain-like cognitive computational model to analyze the difference between desired speed and actual speed on rural highways for young drivers. Transportation Research Part F Traffic Psychology and Behaviour. 109. 880–896.
2.
Li, Dawei, et al.. (2025). Context-aware inverse reinforcement learning for modeling individuals’ daily activity schedules. Engineering Applications of Artificial Intelligence. 146. 110279–110279. 2 indexed citations
3.
Li, Dawei, et al.. (2025). Beyond vision: A unified transformer with bidirectional attention for predicting driver perceived risk from multi-modal data. Transportation Research Part C Emerging Technologies. 179. 105270–105270.
4.
Yu, Bo, et al.. (2025). Meta-MSCC: A foundation model for adaptive CAV control in highway weaving segments. Transportation Research Part C Emerging Technologies. 181. 105397–105397.
5.
Najafi, Arsalan, et al.. (2025). Integrated planning, operation and optimization of coupled transportation and energy systems. Aaltodoc (Aalto University). 4(2). 100199–100199.
6.
Liao, Yuan, et al.. (2025). Integration of e-scooter sharing with public transit on employment accessibility and equity. Transportation Research Part D Transport and Environment. 140. 104604–104604. 3 indexed citations
7.
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Najafi, Arsalan, et al.. (2025). Integrated optimization of charging infrastructure, electric bus scheduling and energy systems. Transportation Research Part D Transport and Environment. 141. 104664–104664. 3 indexed citations
9.
Gao, Kun, et al.. (2024). Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability. IEEE Intelligent Transportation Systems Magazine. 17(2). 110–125. 4 indexed citations
10.
Cui, Shaohua, et al.. (2024). Temporal Finite-Time Adaptation in Controlling Quantized Nonlinear Systems Amidst Time-Varying Output Constraints. IEEE Transactions on Automation Science and Engineering. 22. 3265–3279.
11.
Yu, Bo, Kun Gao, Zeyang Cheng, Yuren Chen, & Lishengsa Yue. (2024). A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method. IEEE Transactions on Intelligent Transportation Systems. 25(7). 8171–8180. 3 indexed citations
12.
Lin, Hongyi, et al.. (2024). Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models. IEEE Transactions on Vehicular Technology. 73(8). 12110–12114. 12 indexed citations
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14.
15.
Gao, Kun, Ruo Jia, Yuan Liao, et al.. (2024). Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis. Sustainable Cities and Society. 115. 105803–105803. 13 indexed citations
16.
Gao, Kun, et al.. (2023). Bi-level ramp merging coordination for dense mixed traffic conditions. Fundamental Research. 4(5). 992–1008. 6 indexed citations
17.
Cui, Shaohua, Kun Gao, Bin Yu, Zhenliang Ma, & Arsalan Najafi. (2023). Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers. Transportation Research Part E Logistics and Transportation Review. 180. 103335–103335. 20 indexed citations
18.
Zhang, Xiaokai, et al.. (2023). A platoon-based cooperative optimal control for connected autonomous vehicles at highway on-ramps under heavy traffic. Transportation Research Part C Emerging Technologies. 150. 104083–104083. 46 indexed citations
19.
Yu, Bo, et al.. (2022). Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach. International Journal of Environmental Research and Public Health. 19(18). 11358–11358. 15 indexed citations
20.
Du, Lan, Gao Y, Kun Gao, Guoyi Yang, & Shaowei Gao. (2020). Lateral Position versus Prone Position for Cervical Laminoplasty: A Retrospective Comparative Study. SHILAP Revista de lepidopterología.

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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2026