Kaiqiang Yu
Impact in
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- Complex Network Analysis Techniques
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- Caching and Content Delivery
Papers in
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- Data Management and Algorithms 6
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- Graph Theory and Algorithms 4
- Co-authors
- Cheng Zhi Long (11 shared papers)Yuanming Shi (5 shared papers)Xuemin Lin (1 shared paper)Laks V. S. Lakshmanan (2 shared papers)Chun Kong Cheng (2 shared papers)Yixiang Fang (1 shared paper)Yong Zhou (2 shared papers)Shengxin Liu (5 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Wireless Communications (1 paper)Frontiers of Information Technology & Electronic Engineering (1 paper)Proceedings of the 2022 International Conference on Management of Data (1 paper)
In The Last Decade
Kaiqiang Yu
17 papers receiving 267 citations
Peers
Comparison fields: 5 of 41
- Statistical and Nonlinear Physics 58
- Computer Networks and Communications 77
- Signal Processing 36
- Computer Vision and Pattern Recognition 60
- Discrete Mathematics and Combinatorics 9
Countries citing papers authored by Kaiqiang Yu
This map shows the geographic impact of Kaiqiang Yu'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 Kaiqiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiqiang Yu more than expected).
Fields of papers citing papers by Kaiqiang Yu
This network shows the impact of papers produced by Kaiqiang Yu. 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 Kaiqiang Yu. The network helps show where Kaiqiang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiqiang Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2021 | 36 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 26 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 1991 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Kaiqiang Yu
Kaiqiang Yu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 21 papers that have together received 271 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Data Mining Algorithms and Applications (5 papers), Advanced Wireless Communication Technologies (4 papers), Algorithms and Data Compression (4 papers), Complex Network Analysis Techniques (4 papers), Graph Theory and Algorithms (4 papers), Advanced Graph Neural Networks (3 papers) and semigroups and automata theory (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (58 citations), Computer Networks and Communications (77 citations), Signal Processing (36 citations), Computer Vision and Pattern Recognition (60 citations) and Discrete Mathematics and Combinatorics (9 citations). Kaiqiang Yu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Cheng Zhi Long, Yuanming Shi, Xuemin Lin, Laks V. S. Lakshmanan, Chun Kong Cheng, Yixiang Fang, Yong Zhou, Shengxin Liu, Wei Chen and Khaled B. Lataief. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Wireless Communications, Frontiers of Information Technology & Electronic Engineering and Proceedings of the 2022 International Conference on Management of Data.
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.