Chao Wen

2.1k total citations
103 papers, 1.3k citations indexed

About

Chao Wen is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Transportation. According to data from OpenAlex, Chao Wen has authored 103 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Industrial and Manufacturing Engineering, 40 papers in Mechanical Engineering and 37 papers in Transportation. Recurrent topics in Chao Wen's work include Railway Systems and Energy Efficiency (55 papers), Railway Engineering and Dynamics (40 papers) and Transportation Planning and Optimization (37 papers). Chao Wen is often cited by papers focused on Railway Systems and Energy Efficiency (55 papers), Railway Engineering and Dynamics (40 papers) and Transportation Planning and Optimization (37 papers). Chao Wen collaborates with scholars based in China, Canada and Brazil. Chao Wen's co-authors include Ping Huang, Liping Fu, Javad Lessan, Qiyuan Peng, Zhongcan Li, Chaozhe Jiang, Xinyue Xu, Jiang Xi, Wenxin Li and Yuxiang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Physics Letters B.

In The Last Decade

Chao Wen

98 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Wen China 19 767 524 451 441 67 103 1.3k
Shiqi Fan China 16 148 0.2× 222 0.4× 53 0.1× 180 0.4× 53 0.8× 39 1.4k
Yansong Wang China 22 137 0.2× 490 0.9× 114 0.3× 74 0.2× 217 3.2× 158 1.6k
J. M. del Castillo Spain 18 57 0.1× 289 0.6× 451 1.0× 698 1.6× 179 2.7× 40 1.4k
Martin Bauer Germany 26 86 0.1× 75 0.1× 68 0.2× 82 0.2× 42 0.6× 90 2.3k
JeeWoong Park United States 18 95 0.1× 47 0.1× 429 1.0× 40 0.1× 41 0.6× 74 1.3k
Chaozhong Wu China 14 43 0.1× 48 0.1× 151 0.3× 237 0.5× 227 3.4× 39 1.0k
Hualiang Teng United States 15 83 0.1× 150 0.3× 290 0.6× 336 0.8× 114 1.7× 80 788
Guillermo Cabrera‐Guerrero Chile 16 92 0.1× 61 0.1× 92 0.2× 34 0.1× 36 0.5× 53 939
Shih-Chung Kang Taiwan 22 229 0.3× 138 0.3× 730 1.6× 11 0.0× 51 0.8× 65 1.7k
Chunyang Han China 18 18 0.0× 113 0.2× 497 1.1× 469 1.1× 226 3.4× 58 1.3k

Countries citing papers authored by Chao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Chao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Wen. A scholar is included among the top collaborators of Chao Wen 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 Chao Wen. Chao Wen 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.
Li, Zhongcan, Ping Huang, Chao Wen, et al.. (2024). Railway network delay evolution: A heterogeneous graph neural network approach. Applied Soft Computing. 159. 111640–111640. 9 indexed citations
2.
Li, Zhongcan, Ping Huang, Chao Wen, Jie Li, & Filipe Rodrigues. (2023). Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections. Expert Systems with Applications. 229. 120500–120500. 5 indexed citations
3.
Luo, Jie, Chao Wen, Qiyuan Peng, Yong Qin, & Ping Huang. (2023). Forecasting the effect of traffic control strategies in railway systems: A hybrid machine learning method. Physica A Statistical Mechanics and its Applications. 621. 128793–128793. 8 indexed citations
4.
Huang, Ping, Zhongcan Li, Yongqiu Zhu, Chao Wen, & Francesco Corman. (2023). Train traffic control in merging stations: A data-driven approach. Transportation Research Part C Emerging Technologies. 152. 104155–104155. 14 indexed citations
5.
Peng, Qiyuan, et al.. (2023). Statistical Analysis of Train Operation and Passenger Distribution Based on Real Records: A Case Study of Wuhan-Guangzhou HSR. Journal of Advanced Transportation. 2023. 1–25. 2 indexed citations
6.
Maximino, Luciana Paula, et al.. (2023). Programas de educação em saúde em escolas para adolescentes. Distúrbios da Comunicação. 35(1). e57887–e57887. 1 indexed citations
7.
8.
Wang, Yang, Yun Qin, Hui Li, et al.. (2023). Acupuncture modulates the functional connectivity among the subcortical nucleus and fronto‐parietal network in adolescents with internet addiction. Brain and Behavior. 13(11). e3241–e3241. 3 indexed citations
9.
Fu, Liping, et al.. (2022). Label-Less Learning for Urban Railway Transit Driver Fatigue Detection with Heart Rate Variability. Transportation Research Record Journal of the Transportation Research Board. 2677(5). 11–23. 7 indexed citations
10.
Fu, Liping, et al.. (2022). Data-Driven Detection and Assessment for Urban Railway Transit Driver Fatigue in Real Work Conditions. Transportation Research Record Journal of the Transportation Research Board. 2677(1). 1367–1375. 13 indexed citations
11.
Zhang, Yongxiang, et al.. (2020). A Mixed Integer Linear Programming Model for Rolling Stock Deadhead Routing before the Operation Period in an Urban Rail Transit Line. Journal of Advanced Transportation. 2020. 1–18. 9 indexed citations
12.
Wang, Yang, Yun Qin, Hui Li, et al.. (2020). The Modulation of Reward and Habit Systems by Acupuncture in Adolescents with Internet Addiction. Neural Plasticity. 2020. 1–9. 13 indexed citations
13.
Wang, Yang, Yun Qin, Hui Li, et al.. (2019). Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study. Frontiers in Neurology. 10. 1006–1006. 31 indexed citations
14.
Wen, Chao, Zhongcan Li, Javad Lessan, et al.. (2018). Analysis of Causes and Effects of Primary Delays in a High-Speed Rail System. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
15.
Li, Jie, Yuxiang Yang, Jing Gan, et al.. (2018). Statistical Analysis of High-Speed Railway Capacity Utilization and Passenger Distribution in China: A Case Study of Wuhan–Guangzhou High-Speed Rail. Transportation Research Board 97th Annual MeetingTransportation Research Board. 1 indexed citations
16.
Li, Jie, et al.. (2017). Efficient Assignment of Long- and Short-Distance Trains Based on Spatial-Time Passenger Travel Intention. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Wen, Chao, et al.. (2017). Rolling Stock Deadhead Routing Problem Before Operation Period of an Urban Rail Transit Line. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 indexed citations
18.
Wen, Chao. (2010). Application of information entropy in train operation adjustment decision-making. 28. 420–424. 2 indexed citations
19.
Wen, Chao. (2010). Prediction of train operation conflict. Chinese Control Conference. 5441–5446. 1 indexed citations
20.
Wen, Chao, et al.. (2004). Cybertutor: educação mediada por tecnologia na odontologia. Revista da ABENO. 4(1). 88. 1 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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