Zhongcan Li

504 total citations
21 papers, 375 citations indexed

About

Zhongcan Li is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Transportation. According to data from OpenAlex, Zhongcan Li has authored 21 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Industrial and Manufacturing Engineering, 15 papers in Mechanical Engineering and 8 papers in Transportation. Recurrent topics in Zhongcan Li's work include Railway Systems and Energy Efficiency (21 papers), Railway Engineering and Dynamics (15 papers) and Transportation Planning and Optimization (8 papers). Zhongcan Li is often cited by papers focused on Railway Systems and Energy Efficiency (21 papers), Railway Engineering and Dynamics (15 papers) and Transportation Planning and Optimization (8 papers). Zhongcan Li collaborates with scholars based in China, Canada and Switzerland. Zhongcan Li's co-authors include Chao Wen, Ping Huang, Liping Fu, Javad Lessan, Chaozhe Jiang, Jiang Xi, Qiyuan Peng, Filipe Rodrigues, Francesco Corman and Xinyue Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhongcan Li

20 papers receiving 359 citations

Peers

Zhongcan Li

IME

TRANS

Pavle Kecman Netherlands

Carlo Dambra Italy

Nadia Mazzino Italy

İsmail Şahin Türkiye

Lu Tong China

Eva Barrena Spain

Yongqiu Zhu Netherlands

Norio Τοmii Japan

Thijs Dewilde Belgium

Pavle Kecman Netherlands

Zhongcan Li

388 ×1.4

IME

161 ×0.8

254 ×1.3

262 ×1.6

TRANS

19 ×0.7

Citations per year, relative to Zhongcan Li Zhongcan Li (= 1×) peers Pavle Kecman

Countries citing papers authored by Zhongcan Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhongcan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongcan Li

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

All Works

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20 of 20 papers shown

Huang, Ping, Zheng Peng, Zhongcan Li, & Qiyuan Peng. (2025). Solving the railway timetable rescheduling problem with graph neural networks.

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

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

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

Liu, Qianyi, Shengjie Wang, Zhongcan Li, et al.. (2022). Prediction of high-speed train delay propagation based on causal text information. SHILAP Revista de lepidopterología. 31(1). 89–106. 9 indexed citations

Li, Zhongcan, Ping Huang, Chao Wen, Jiang Xi, & Filipe Rodrigues. (2022). Prediction of train arrival delays considering route conflicts at multi-line stations. Transportation Research Part C Emerging Technologies. 138. 103606–103606. 27 indexed citations

Li, Zhongcan, Ping Huang, Chao Wen, & Filipe Rodrigues. (2022). Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach. SSRN Electronic Journal. 3 indexed citations

Li, Jie, Zhongcan Li, Chao Wen, Qiyuan Peng, & Ping Huang. (2022). Train operation conflict detection for high-speed railways: a naïve Bayes approach. International Journal of Rail Transportation. 11(2). 188–206. 4 indexed citations

Huang, Ping, Zhongcan Li, Chao Wen, et al.. (2021). Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition. Expert Systems with Applications. 177. 114996–114996. 37 indexed citations

10.

Li, Zhongcan, et al.. (2020). Near-term train delay prediction in the Dutch railways network. International Journal of Rail Transportation. 9(6). 520–539. 32 indexed citations

11.

Li, Zhongcan, et al.. (2020). Predictive models for influence of primary delays using high‐speed train operation records. Journal of Forecasting. 39(8). 1198–1212. 14 indexed citations

12.

Wen, Chao, et al.. (2019). Progress and perspective of data-driven train delay propagation. Zhongguo anquan kexue xuebao. 29. 1. 5 indexed citations

13.

Huang, Ping, Chao Wen, Liping Fu, Qiyuan Peng, & Zhongcan Li. (2019). A hybrid model to improve the train running time prediction ability during high-speed railway disruptions. Safety Science. 122. 104510–104510. 43 indexed citations

14.

Wen, Chao, et al.. (2019). A predictive model of train delays on a railway line. Journal of Forecasting. 39(3). 470–488. 49 indexed citations

15.

Huang, Ping, Chao Wen, & Zhongcan Li. (2019). Mining train delay propagation pattern from train operation records in a high-speed system. Repository for Publications and Research Data (ETH Zurich). 69(69). 439–451. 1 indexed citations

16.

Wen, Chao, Ping Huang, Zhongcan Li, et al.. (2019). Train Dispatching Management With Data- Driven Approaches: A Comprehensive Review and Appraisal. IEEE Access. 7. 114547–114571. 55 indexed citations

17.

Huang, Ping, et al.. (2019). Statistical Analysis of Train Delay and Delay Propagation Patterns in a High-Speed Railway System. 664–669. 3 indexed citations

18.

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

19.

Wen, Chao, et al.. (2018). Support Vector Regression Models for Influenced Time Prediction in High-Speed Rail System. Transportation Research Board 97th Annual MeetingTransportation Research Board. 4 indexed citations

20.

Wen, Chao, Zhongcan Li, Javad Lessan, et al.. (2017). Statistical investigation on train primary delay based on real records: evidence from Wuhan–Guangzhou HSR. International Journal of Rail Transportation. 5(3). 170–189. 47 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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