Chunyi Shi

537 total citations
31 papers, 150 citations indexed

About

Chunyi Shi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chunyi Shi has authored 31 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chunyi Shi's work include Multi-Agent Systems and Negotiation (7 papers), Text and Document Classification Technologies (7 papers) and Logic, Reasoning, and Knowledge (6 papers). Chunyi Shi is often cited by papers focused on Multi-Agent Systems and Negotiation (7 papers), Text and Document Classification Technologies (7 papers) and Logic, Reasoning, and Knowledge (6 papers). Chunyi Shi collaborates with scholars based in China and United States. Chunyi Shi's co-authors include Yuchang Lu, Jian-Tao Sun, Wei‐Ying Ma, Hua-Jun Zeng, Zheng Chen, Zheng Chen, Xiaoming Jin, Benyu Zhang, Zhaohui Zhang and Hongwei Zhang and has published in prestigious journals such as Image and Vision Computing, Science China Technological Sciences and Intelligent Data Analysis.

In The Last Decade

Chunyi Shi

27 papers receiving 133 citations

Peers

Chunyi Shi
Karell Bertet France
Muhammad Mahbubur Rahman United States
Lappoon R. Tang United States
Allen Condit United States
Piotr Synak Poland
Alistair Stewart United States
Julie Borsack United States
Martin Geisler Denmark
Patrick G. Clark United States
Mathieu Serrurier France
Karell Bertet France
Chunyi Shi
Citations per year, relative to Chunyi Shi Chunyi Shi (= 1×) peers Karell Bertet

Countries citing papers authored by Chunyi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chunyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyi Shi. A scholar is included among the top collaborators of Chunyi 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 Chunyi Shi. Chunyi Shi 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.
Shi, Chunyi, et al.. (2009). Coalition Structure Generation with Worst-Case Finite Bound from the Optimal Guarantees. 46(8). 1357. 1 indexed citations
2.
Lu, Changhou, et al.. (2006). Product quality on-line inspecting for the pressed protuberant character on a metal tag. Image and Vision Computing. 25(8). 1255–1262. 4 indexed citations
3.
Liu, Xiaodong, et al.. (2005). A boosting method to detect noisy data. 7. 2015–2020 Vol. 4. 4 indexed citations
4.
Shi, Chunyi, et al.. (2005). A dynamic model of multi-agent system. 1. 183–187. 1 indexed citations
5.
Shi, Chunyi. (2004). Web document classification techniques. Journal of Tsinghua University(Science and Technology). 2 indexed citations
6.
Shi, Chunyi, et al.. (2004). Twin-subset semantic model for intention. 2004–2008. 2 indexed citations
7.
Lu, Yuchang, et al.. (2003). Feature ranking in rough sets. AI Communications. 16(1). 41–50. 48 indexed citations
8.
Jin, Xiaoming, Yuchang Lu, & Chunyi Shi. (2003). Cluster time series based on partial information. vol.5. 5–5. 3 indexed citations
9.
Lu, Yuchang, et al.. (2003). Boosting simple decision trees with Bayesian learning for text categorization. 1. 321–325. 5 indexed citations
10.
Zhang, Hongwei, et al.. (2002). Incremental learning of Bayesian networks with hidden variables. 651–652. 5 indexed citations
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13.
Zhang, Zhaohui, et al.. (2002). Multistrategy learning using genetic algorithms and neural networks for pattern classification. 3. 1686–1689. 4 indexed citations
14.
Shi, Chunyi. (2002). An Opponent Agent Model Based on BDI. 1 indexed citations
15.
Shi, Chunyi, et al.. (2002). Modeling social agents in BDO logic. 411–412. 4 indexed citations
16.
Lu, Ruqian, et al.. (2000). Agent-oriented commonsense knowledge base. Science China Technological Sciences. 43(6). 641–652. 1 indexed citations
17.
Shi, Chunyi. (1998). Adaptive and parallel genetic algorithm based on solving premature convergence. Journal of Tsinghua University(Science and Technology). 4 indexed citations
18.
Shi, Chunyi, et al.. (1998). Mining Classification Rules in Multistrategy Learning Approach. Intelligent Data Analysis. 2(3). 165–185. 1 indexed citations
19.
Shi, Chunyi, et al.. (1990). Distributed problem solving system for transport dispatching. 1. 141–150.
20.
Shi, Chunyi, et al.. (1988). The Architecture of a Distributed Knowledge Base System.. 547–556. 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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