Xingan Kan

594 total citations · 1 hit paper
19 papers, 483 citations indexed

About

Xingan Kan is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Xingan Kan has authored 19 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 15 papers in Transportation and 9 papers in Building and Construction. Recurrent topics in Xingan Kan's work include Traffic control and management (17 papers), Transportation Planning and Optimization (15 papers) and Traffic Prediction and Management Techniques (9 papers). Xingan Kan is often cited by papers focused on Traffic control and management (17 papers), Transportation Planning and Optimization (15 papers) and Traffic Prediction and Management Techniques (9 papers). Xingan Kan collaborates with scholars based in United States and Netherlands. Xingan Kan's co-authors include Xiao‐Yun Lu, Steven E Shladover, Hao Liu, Bart van Arem, Lin Xiao, Raphael Stern, Wouter Schakel, Mingfeng Shang, Meng Wang and Rahim F. Benekohal and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Transportation Research Record Journal of the Transportation Research Board and Journal of Advanced Transportation.

In The Last Decade

Xingan Kan

19 papers receiving 475 citations

Hit Papers

Modeling impacts of Cooperative Adaptive Cruise Control o... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modeling impacts of Cooperative Adaptive Cruise Control on mixed traffic flow in multi-lane freeway facilities
    2018 244 citations Hao Liu, Xingan Kan et al. Transportation Research Part C Emerging Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingan Kan United States 7 456 293 289 131 102 19 483
Yunxia Wu China 12 458 1.0× 299 1.0× 247 0.9× 149 1.1× 100 1.0× 30 492
Amir Mirheli United States 7 307 0.7× 275 0.9× 175 0.6× 93 0.7× 78 0.8× 12 414
Natalia Kourjanskaia United States 5 373 0.8× 201 0.7× 261 0.9× 134 1.0× 74 0.7× 7 407
Liling Zhu China 9 288 0.6× 222 0.8× 116 0.4× 126 1.0× 92 0.9× 19 353
Raj Kishore Kamalanathsharma United States 9 475 1.0× 474 1.6× 322 1.1× 98 0.7× 47 0.5× 20 585
Lanhang Ye Japan 5 478 1.0× 376 1.3× 318 1.1× 150 1.1× 147 1.4× 6 589
Shayan Khoshmagham United States 4 472 1.0× 207 0.7× 309 1.1× 297 2.3× 55 0.5× 8 513
Anye Zhou United States 11 412 0.9× 316 1.1× 183 0.6× 125 1.0× 44 0.4× 25 470
George Gunter United States 4 257 0.6× 180 0.6× 117 0.4× 87 0.7× 50 0.5× 11 293
Yanyan Qin China 15 606 1.3× 371 1.3× 378 1.3× 220 1.7× 130 1.3× 34 647

Countries citing papers authored by Xingan Kan

Since Specialization
Citations

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

Fields of papers citing papers by Xingan Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingan Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Xingan Kan. A scholar is included among the top collaborators of Xingan Kan 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 Xingan Kan. Xingan Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Cassidy, Michael J., et al.. (2024). ACC, queue storage, and worrisome news for cities. Transportation Research Part C Emerging Technologies. 167. 104809–104809. 2 indexed citations
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Gong, Yaobang, et al.. (2024). MicroSimACC: an open database for field experiments on the potential capacity impact of commercial Adaptive Cruise Control (ACC). Transportmetrica A Transport Science. 22(1). 3 indexed citations
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Kan, Xingan, et al.. (2023). Unlocking potential capacity benefits of electric vehicles (EVs) with adaptive cruise control (ACC). Transportmetrica B Transport Dynamics. 11(1). 1894–1911. 7 indexed citations
9.
Liu, Hao, Steven E Shladover, Xiao‐Yun Lu, & Xingan Kan. (2020). Freeway vehicle fuel efficiency improvement via cooperative adaptive cruise control. Journal of Intelligent Transportation Systems. 25(6). 574–586. 58 indexed citations
10.
Kan, Xingan, Lin Xiao, Hao Liu, et al.. (2019). Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes. Journal of Advanced Transportation. 2019. 1–14. 13 indexed citations
11.
Liu, Hao, et al.. (2018). Modeling impacts of Cooperative Adaptive Cruise Control on mixed traffic flow in multi-lane freeway facilities. Transportation Research Part C Emerging Technologies. 95. 261–279. 244 indexed citations breakdown →
12.
Liu, Hao, et al.. (2018). Impact of Cooperative Adaptive Cruise Control (CACC) on Multilane Freeway Merge Capacity. Transportation Research Board 97th Annual MeetingTransportation Research Board. 6 indexed citations
13.
Kan, Xingan, Lin Xiao, Hao Liu, et al.. (2018). Cross-Comparison and Calibration of Two Microscopic Traffic Simulation Models for Complex Freeway Corridors with Dedicated Lanes. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
14.
Liu, Hao, et al.. (2018). Quantifying Influences of Cooperative Adaptive Cruise Control (CACC) Vehicle String Operation Strategies on Mixed Traffic Flow. Transportation Research Board 97th Annual MeetingTransportation Research Board. 4 indexed citations
15.
Liu, Hao, et al.. (2018). Impact of cooperative adaptive cruise control on multilane freeway merge capacity. Journal of Intelligent Transportation Systems. 22(3). 263–275. 116 indexed citations
16.
Liu, Hao, Lin Xiao, Xingan Kan, et al.. (2018). Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams. FINAL REPORT. eScholarship (California Digital Library). 5 indexed citations
17.
Kan, Xingan, Xiao‐Yun Lu, & Alexander Skabardonis. (2018). Increasing Freeway Capacity by Efficiently Timing Its Nearby Arterial Traffic Signals. Transportation Research Record Journal of the Transportation Research Board. 2672(18). 27–34. 2 indexed citations
18.
Lu, Xiao‐Yun, et al.. (2017). An Enhanced Microscopic Traffic Simulation Model for Application to Connected Automated Vehicles. Transportation Research Board 96th Annual MeetingTransportation Research Board. 6 indexed citations
19.
Kan, Xingan, et al.. (2014). Calibration of VISSIM for Freeway Work Zones with Time-Varying Capacity. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 4 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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