Chuan Shi

567 total citations
19 papers, 294 citations indexed

About

Chuan Shi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chuan Shi has authored 19 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chuan Shi's work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Image and Video Quality Assessment (2 papers). Chuan Shi is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers) and Image and Video Quality Assessment (2 papers). Chuan Shi collaborates with scholars based in China, United States and Hong Kong. Chuan Shi's co-authors include Philip S. Yu, Bin Wu, Jian Liu, Wei Wu, Fuzhen Zhuang, Fuzhen Zhuang, Guojie Song, Yilun Jin, Xiangnan Kong and Chong Zhou and has published in prestigious journals such as Neural Networks, Frontiers in Psychiatry and Physical review. A.

In The Last Decade

Chuan Shi

16 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuan Shi China 11 210 134 85 65 34 19 294
Zhizhi Yu China 7 324 1.5× 76 0.6× 249 2.9× 77 1.2× 55 1.6× 20 452
Disha Makhija United States 2 162 0.8× 90 0.7× 126 1.5× 42 0.6× 25 0.7× 2 251
Xuebin Wang China 11 214 1.0× 122 0.9× 18 0.2× 133 2.0× 36 1.1× 37 353
Mohit Kumar India 3 138 0.7× 80 0.6× 112 1.3× 36 0.6× 28 0.8× 5 228
Lingling Yi China 8 198 0.9× 123 0.9× 105 1.2× 21 0.3× 61 1.8× 16 276
Christine Largeron France 10 140 0.7× 60 0.4× 81 1.0× 37 0.6× 87 2.6× 33 294
Tarek F. Gharib Egypt 10 208 1.0× 185 1.4× 47 0.6× 33 0.5× 29 0.9× 66 407
Kai-Yang Chiang United States 8 298 1.4× 97 0.7× 267 3.1× 43 0.7× 70 2.1× 9 465
Tara Safavi United States 8 226 1.1× 49 0.4× 89 1.0× 53 0.8× 84 2.5× 20 318
Sandro Cavallari Singapore 6 387 1.8× 63 0.5× 199 2.3× 48 0.7× 84 2.5× 8 500

Countries citing papers authored by Chuan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Shi. A scholar is included among the top collaborators of Chuan Shi 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 Chuan Shi. Chuan Shi 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.
Liu, Jiawei, et al.. (2025). WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction. 1–7. 1 indexed citations
2.
3.
Tang, Y., et al.. (2024). A Critical Review of Phenomenological Research Related to Schizophrenia in China. Psychopathology. 58(2). 1–15.
4.
Guo, Xiaodong, et al.. (2024). Abnormal hedonic process in patients with stable schizophrenia: Relationships to negative symptoms and social functioning. Schizophrenia Research Cognition. 38. 100325–100325. 1 indexed citations
5.
Yang, Cheng, et al.. (2024). FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9241–9249. 3 indexed citations
6.
Sun, Yutao, et al.. (2022). A deep learning-based model for detecting depression in senior population. Frontiers in Psychiatry. 13. 1016676–1016676. 21 indexed citations
7.
Shi, Chuan, Xiao Wang, & Philip S. Yu. (2022). Heterogeneous Graph Representation Learning and Applications. 13 indexed citations
8.
Jin, Yilun, Guojie Song, & Chuan Shi. (2020). GraLSP: Graph Neural Networks with Local Structural Patterns. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4361–4368. 24 indexed citations
9.
Wu, Wei & Chuan Shi. (2020). Quantum parameter estimation in a dissipative environment. Physical review. A. 102(3). 22 indexed citations
10.
Fan, Yujie, Yiming Zhang, Shifu Hou, et al.. (2019). iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. 2272–2278. 15 indexed citations
11.
Tan, Yunlong, et al.. (2018). The efficacy and safety of amisulpride in the treatment of acute exacerbation patients with schizophrenia. Chin J Psychiatry. 51(2). 113–117. 1 indexed citations
12.
Zhuang, Fuzhen, et al.. (2018). Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks. 108. 287–295. 12 indexed citations
13.
Zhuang, Fuzhen, et al.. (2017). Local Ensemble across Multiple Sources for Collaborative Filtering. 2431–2434. 2 indexed citations
14.
Shi, Chuan & Philip S. Yu. (2017). Heterogeneous Information Network Analysis and Applications. DIAL (Catholic University of Leuven). 37 indexed citations
15.
Cao, Xiaohuan, et al.. (2017). Meta-path-based link prediction in schema-rich heterogeneous information network. International Journal of Data Science and Analytics. 3(4). 285–296. 17 indexed citations
16.
Shi, Chuan, et al.. (2016). Expenditure aware rating prediction for recommendation. 1018–1025.
17.
Liu, Jian, et al.. (2016). Recommendation in heterogeneous information network via dual similarity regularization. International Journal of Data Science and Analytics. 3(1). 35–48. 39 indexed citations
18.
Shi, Chuan, Jian Liu, Fuzhen Zhuang, Philip S. Yu, & Bin Wu. (2016). Integrating heterogeneous information via flexible regularization framework for recommendation. Knowledge and Information Systems. 49(3). 835–859. 48 indexed citations
19.
Shi, Chuan, et al.. (2012). HeteRecom. 1552–1555. 38 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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