Yan Shi
Impact in
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Cooperative Communication and Network Coding 24
- Mobile Ad Hoc Networks 8
- Opportunistic and Delay-Tolerant Networks 8
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- Advanced MIMO Systems Optimization 22
- Advanced Wireless Network Optimization 11
- Advanced Wireless Communication Technologies 8
- Co-authors
- R.C. EberhartMin ShengJiandong LiYuzhou LiMichael A. JensenXijun WangChao ShenXiaofang Sun
In The Last Decade
Yan Shi
90 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 511
- Computer Networks and Communications 712
- Control and Systems Engineering 662
- Electrical and Electronic Engineering 1.4k
Countries citing papers authored by Yan Shi
This map shows the geographic impact of Yan 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 Yan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Shi more than expected).
Fields of papers citing papers by Yan Shi
This network shows the impact of papers produced by Yan 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 Yan Shi. The network helps show where Yan Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 8 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 3 | |
| 18 | Data driven modeling under irregular sampling | 2013 | 4 |
| 19 | 2012 | 4 | |
| 20 | Delay Sensitive Adaptive Routing Protocol for Ad Hoc Network | 2003 | 8 |
About Yan Shi
Yan Shi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 96 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (24 papers), Advanced MIMO Systems Optimization (22 papers), Advanced Wireless Network Optimization (11 papers), Advanced Wireless Communication Technologies (8 papers), Mobile Ad Hoc Networks (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Opportunistic and Delay-Tolerant Networks (8 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (511 citations), Computer Networks and Communications (712 citations), Control and Systems Engineering (662 citations) and Electrical and Electronic Engineering (1.4k citations). Yan Shi has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include R.C. Eberhart, Min Sheng, Jiandong Li, Yuzhou Li, Michael A. Jensen, Xijun Wang, Chao Shen, Xiaofang Sun, Li Xu and Gang Zhu. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Journal on Selected Areas in Communications, Wireless Networks and Multidimensional Systems and Signal Processing.
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.