Cheng‐Jie Jin

735 total citations
40 papers, 540 citations indexed

About

Cheng‐Jie Jin is a scholar working on Control and Systems Engineering, Transportation and Ocean Engineering. According to data from OpenAlex, Cheng‐Jie Jin has authored 40 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 26 papers in Transportation and 21 papers in Ocean Engineering. Recurrent topics in Cheng‐Jie Jin's work include Traffic control and management (28 papers), Transportation Planning and Optimization (25 papers) and Evacuation and Crowd Dynamics (20 papers). Cheng‐Jie Jin is often cited by papers focused on Traffic control and management (28 papers), Transportation Planning and Optimization (25 papers) and Evacuation and Crowd Dynamics (20 papers). Cheng‐Jie Jin collaborates with scholars based in China, United States and Netherlands. Cheng‐Jie Jin's co-authors include Rui Jiang, Dawei Li, Hao Wang, Wei Wang, Mao-Bin Hu, Wei Wang, Han Zhang, Junfang Tian, Bin Jia and Victor L. Knoop and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Sustainability and Transportation Research Part C Emerging Technologies.

In The Last Decade

Cheng‐Jie Jin

37 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng‐Jie Jin China 12 366 313 188 187 149 40 540
Bernhard Friedrich Germany 12 400 1.1× 332 1.1× 309 1.6× 83 0.4× 115 0.8× 88 650
Sven Maerivoet Belgium 7 343 0.9× 256 0.8× 202 1.1× 90 0.5× 24 0.2× 24 500
T.L. Pan Hong Kong 11 451 1.2× 401 1.3× 359 1.9× 30 0.2× 70 0.5× 17 583
Ajay K. Rathi United States 9 282 0.8× 317 1.0× 219 1.2× 44 0.2× 115 0.8× 27 497
S. Mammar France 10 333 0.9× 126 0.4× 94 0.5× 53 0.3× 30 0.2× 20 418
Hongzhuan Zhao China 15 394 1.1× 200 0.6× 185 1.0× 80 0.4× 63 0.4× 34 493
Hua Kuang China 20 713 1.9× 545 1.7× 347 1.8× 557 3.0× 272 1.8× 52 974
H.M. Zhang United States 7 749 2.0× 532 1.7× 372 2.0× 211 1.1× 53 0.4× 11 800
Xuedong Hua China 14 340 0.9× 297 0.9× 197 1.0× 23 0.1× 61 0.4× 64 553
Femke van Wageningen-Kessels Netherlands 11 567 1.5× 429 1.4× 418 2.2× 188 1.0× 133 0.9× 25 734

Countries citing papers authored by Cheng‐Jie Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Jie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Jie Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Jie Jin. A scholar is included among the top collaborators of Cheng‐Jie 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 Cheng‐Jie Jin. Cheng‐Jie 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, Cheng‐Jie, et al.. (2025). Improving small object detection in traffic scenarios via multi-stage feature enhancement. The Journal of Supercomputing. 81(17).
2.
Jin, Cheng‐Jie, et al.. (2025). Findings in pedestrian route choice experiments: Tradeoff and hypothetical bias. Travel Behaviour and Society. 40. 101000–101000.
3.
Jin, Cheng‐Jie, Shuyi Fang, Rui Jiang, Kaiwen Xue, & Dawei Li. (2024). Cellular automaton simulations of hybrid pedestrian movement in two-route situation. Physica A Statistical Mechanics and its Applications. 651. 130029–130029. 2 indexed citations
4.
Jin, Cheng‐Jie, et al.. (2024). The travel behaviors before and after lockdown: Case study on Shanghai, 2022. Case Studies on Transport Policy. 17. 101220–101220. 2 indexed citations
5.
Jin, Cheng‐Jie, et al.. (2024). Evaluations of Multi-Step Traffic Flow Prediction Models Based on Graph Neural Networks. 1100–1104. 3 indexed citations
6.
Jin, Cheng‐Jie, et al.. (2023). Simulation of bi-directional pedestrian flow under high densities using a modified social force model. Chaos Solitons & Fractals. 172. 113559–113559. 11 indexed citations
7.
Jin, Cheng‐Jie, et al.. (2023). Simulation of Single-File Pedestrian Flow under High-Density Condition by a Modified Social Force Model. Sustainability. 15(11). 8626–8626.
8.
Jiang, Shangkun & Cheng‐Jie Jin. (2023). Microscopic simulations of traffic congestion in Runyang Bridge: comparisons between two cases. 50–50. 1 indexed citations
9.
Jin, Cheng‐Jie, et al.. (2023). Vessel-following dynamics: Experiment and modeling. Physica A Statistical Mechanics and its Applications. 615. 128588–128588. 3 indexed citations
10.
Jin, Cheng‐Jie, et al.. (2021). The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques. Journal of Advanced Transportation. 2021. 1–11. 9 indexed citations
11.
Li, Dawei, et al.. (2020). Multi-Modal Combined Route Choice Modeling in the MaaS Age Considering Generalized Path Overlapping Problem. IEEE Transactions on Intelligent Transportation Systems. 22(4). 2430–2441. 28 indexed citations
12.
Jin, Cheng‐Jie, Rui Jiang, Hongfeng Liang, Dawei Li, & Hao Wang. (2019). The similarities and differences between the empirical and experimental data: investigation on the single-lane traffic. Transportmetrica B Transport Dynamics. 7(1). 1323–1337. 4 indexed citations
13.
Jin, Cheng‐Jie, et al.. (2018). Discretionary lane-changing behavior: empirical validation for one realistic rule-based model. Transportmetrica A Transport Science. 15(2). 244–262. 41 indexed citations
14.
Jin, Cheng‐Jie, Victor L. Knoop, Rui Jiang, Wei Wang, & Hao Wang. (2018). Calibration and validation of cellular automaton traffic flow model with empirical and experimental data. IET Intelligent Transport Systems. 12(5). 359–365. 9 indexed citations
15.
Jiang, Rui, Cheng‐Jie Jin, Junfang Tian, et al.. (2017). Experimental and Empirical Investigations of Traffic Flow Instability. Transportation research procedia. 23. 157–173. 29 indexed citations
16.
Li, Dawei, Xiaojian Hu, Cheng‐Jie Jin, & Jun Zhou. (2017). Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers. Discrete Dynamics in Nature and Society. 2017. 1–9. 7 indexed citations
17.
Jin, Cheng‐Jie, et al.. (2017). Simulating bi-directional pedestrian flow in a cellular automaton model considering the body-turning behavior. Physica A Statistical Mechanics and its Applications. 482. 666–681. 34 indexed citations
18.
Jin, Cheng‐Jie, Wei Wang, Rui Jiang, H. M. Zhang, & Hao Wang. (2013). Spontaneous phase transition from free flow to synchronized flow in traffic on a single-lane highway. Physical Review E. 87(1). 12815–12815. 14 indexed citations
19.
Jin, Cheng‐Jie, Wei Wang, Rui Jiang, & Hao Wang. (2013). Cellular automaton simulations of a four-leg intersection with two-phase signalization. International Journal of Modern Physics C. 25(3). 1350099–1350099. 8 indexed citations
20.
Jin, Cheng‐Jie, Wei Wang, Kun Gao, & Rui Jiang. (2011). Effect of acceleration threshold on the phase transition in a cellular automaton traffic flow model. Chinese Physics B. 20(6). 64501–64501. 10 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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