Junchen Jin

1.0k total citations
42 papers, 771 citations indexed

About

Junchen Jin is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Junchen Jin has authored 42 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 29 papers in Transportation and 26 papers in Building and Construction. Recurrent topics in Junchen Jin's work include Traffic control and management (33 papers), Transportation Planning and Optimization (28 papers) and Traffic Prediction and Management Techniques (26 papers). Junchen Jin is often cited by papers focused on Traffic control and management (33 papers), Transportation Planning and Optimization (28 papers) and Traffic Prediction and Management Techniques (26 papers). Junchen Jin collaborates with scholars based in Sweden, China and United States. Junchen Jin's co-authors include Xiaoliang Ma, Fei‐Yue Wang, Iisakki Kosonen, Haifeng Guo, Xiao Wang, Yisheng Lv, Xu Jia, Fenghua Zhu, Yonglin Tian and Jiangong Wang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Neurocomputing.

In The Last Decade

Junchen Jin

41 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junchen Jin Sweden 17 458 400 330 178 105 42 771
Zeyu Yang China 13 312 0.7× 225 0.6× 267 0.8× 219 1.2× 145 1.4× 45 762
Jingqiu Guo China 17 386 0.8× 328 0.8× 308 0.9× 297 1.7× 60 0.6× 45 773
Samah El-Tantawy Canada 11 616 1.3× 480 1.2× 370 1.1× 184 1.0× 75 0.7× 20 789
Yilong Ren China 16 271 0.6× 316 0.8× 216 0.7× 208 1.2× 155 1.5× 85 831
Saif Eddin Jabari United States 16 735 1.6× 457 1.1× 520 1.6× 320 1.8× 65 0.6× 49 962
Hossam Abdelgawad Canada 15 735 1.6× 525 1.3× 645 2.0× 376 2.1× 52 0.5× 35 1.2k
Songhang Chen China 8 206 0.4× 190 0.5× 182 0.6× 81 0.5× 87 0.8× 22 625
Yige Wang China 4 153 0.3× 368 0.9× 244 0.7× 106 0.6× 104 1.0× 7 746
Khac‐Hoai Nam Bui South Korea 14 194 0.4× 264 0.7× 182 0.6× 100 0.6× 111 1.1× 28 675
Xingyuan Dai China 14 205 0.4× 223 0.6× 136 0.4× 115 0.6× 106 1.0× 49 588

Countries citing papers authored by Junchen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Junchen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junchen Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Junchen Jin. A scholar is included among the top collaborators of Junchen Jin 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 Junchen Jin. Junchen Jin 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.
Jin, Junchen, et al.. (2024). Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective. IEEE/CAA Journal of Automatica Sinica. 11(10). 2043–2058. 3 indexed citations
2.
Jin, Junchen, Jun Ge, Xingyuan Dai, et al.. (2023). AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning. IEEE/CAA Journal of Automatica Sinica. 10(9). 1871–1881. 2 indexed citations
3.
Jin, Junchen, et al.. (2022). An Online Traffic Simulation Modeling Framework for Real-Time Road Traffic Control and Management. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2175–2181. 1 indexed citations
4.
Jin, Junchen, et al.. (2022). An Agent-Based Traffic Recommendation System: Revisiting and Revising Urban Traffic Management Strategies. IEEE Transactions on Systems Man and Cybernetics Systems. 52(11). 7289–7301. 22 indexed citations
5.
Zhu, Jiong, Junchen Jin, Donald Loveland, Michael T. Schaub, & Danai Koutra. (2022). How does Heterophily Impact the Robustness of Graph Neural Networks?. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2637–2647. 17 indexed citations
6.
Ma, Xiaoliang, et al.. (2021). A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections. 3604–3609. 5 indexed citations
7.
Li, Xiaoshuang, Xingyuan Dai, Yilun Lin, et al.. (2020). Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks. 1–6. 14 indexed citations
8.
Jin, Junchen & Xiaoliang Ma. (2019). A non-parametric Bayesian framework for traffic-state estimation at signalized intersections. Information Sciences. 498. 21–40. 17 indexed citations
9.
Jin, Junchen. (2018). Advance Traffic Signal Control Systems with Emerging Technologies. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
10.
Jin, Junchen, Xiaoliang Ma, & Ingrid Johansson. (2017). Modeling And Analysis Of PID Controlled Heavy Duty Vehicle Platoons In Real Traffic. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
11.
Jin, Junchen & Xiaoliang Ma. (2017). A Decentralized Traffic Light Control System Based on Adaptive Learning. IFAC-PapersOnLine. 50(1). 5301–5306. 7 indexed citations
12.
Johansson, Ingrid, Junchen Jin, Xiaoliang Ma, & Henrik Pettersson. (2017). Look-ahead speed planning for heavy-duty vehicle platoons using traffic information. Transportation research procedia. 22. 561–569. 16 indexed citations
13.
Jin, Junchen & Xiaoliang Ma. (2017). A multi-objective agent-based approach for road traffic controls: application for adaptive traffic signal systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 114. 348–360.
14.
Jin, Junchen, Xiaoliang Ma, Kari Koskinen, Michael Rychlik, & Iisakki Kosonen. (2016). Evaluation of Fuzzy Intelligent Traffic Signal Control (FITS) system using traffic simulation. Transportation Research Board 95th Annual MeetingTransportation Research Board. 1 indexed citations
15.
Jin, Junchen, Xiaoliang Ma, & Iisakki Kosonen. (2016). An intelligent control system for traffic lights with simulation-based evaluation. Control Engineering Practice. 58. 24–33. 61 indexed citations
16.
17.
Johansson, Ingrid, Junchen Jin, Xiaoliang Ma, & Henrik Pettersson. (2016). Look-ahead speed planning for heavy-duty vehicle platoons using traffic information. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
18.
Jin, Junchen, Xiaoliang Ma, & Iisakki Kosonen. (2015). Stochastic Optimization of Group-based Signal Control and Coordination Using Traffic Simulation. Transportation Research Board 94th Annual MeetingTransportation Research Board. 4 indexed citations
19.
Jin, Junchen, et al.. (2015). Adaptive Group-Based Signal Control Using Reinforcement Learning with Eligibility Traces. 2412–2417. 9 indexed citations
20.
Ma, Xiaoliang, et al.. (2014). Multi-criteria analysis of optimal signal plans using microscopic traffic models. Transportation Research Part D Transport and Environment. 32. 1–14. 54 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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