Ke Yu
Impact in
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- Traditional Chinese Medicine Analysis
Papers in
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- Network Traffic and Congestion Control 12
- Network Security and Intrusion Detection 9
- Caching and Content Delivery 7
- Peer-to-Peer Network Technologies 6
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- Topic Modeling 6
- Co-authors
- Yiyu Cheng (8 shared papers)Xiaoping Li (3 shared papers)Xiaofei Wu (19 shared papers)Kaiquan Shen (3 shared papers)Shiyun Shao (2 shared papers)Einar Wilder‐Smith (1 shared paper)Zhongying Lin (2 shared papers)Xiaofei Wu (14 shared papers)
- Journals
- Chromatographia (4 papers)IEEE Access (3 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)PLoS ONE (3 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ke Yu
79 papers receiving 806 citations
Peers
Comparison fields: 5 of 146
- Computational Mathematics 7
- Complementary and alternative medicine 98
- Analytical Chemistry 74
- Computer Networks and Communications 151
- Signal Processing 63
Countries citing papers authored by Ke Yu
This map shows the geographic impact of Ke 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 Ke Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yu more than expected).
Fields of papers citing papers by Ke Yu
This network shows the impact of papers produced by Ke 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 Ke Yu. The network helps show where Ke Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 103 | |
| 2 | 2022 | 64 | |
| 3 | 2006 | 57 | |
| 4 | 2023 | 42 | |
| 5 | 2006 | 39 | |
| 6 | 2006 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 31 | |
| 9 | 2020 | 27 | |
| 10 | 2005 | 22 | |
| 11 | 2011 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2006 | 18 | |
| 14 | 2006 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2006 | 14 | |
| 18 | 2007 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 11 |
About Ke Yu
Ke Yu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Information Systems, having authored 91 papers that have together received 829 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Network Traffic and Congestion Control (12 papers), Network Security and Intrusion Detection (9 papers), Traditional Chinese Medicine Analysis (8 papers), Caching and Content Delivery (7 papers), Peer-to-Peer Network Technologies (6 papers), Topic Modeling (6 papers) and Misinformation and Its Impacts (6 papers). The work is most often cited by research in Computational Mathematics (7 citations), Complementary and alternative medicine (98 citations), Analytical Chemistry (74 citations), Computer Networks and Communications (151 citations) and Signal Processing (63 citations). Ke Yu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yiyu Cheng, Xiaoping Li, Xiaofei Wu, Kaiquan Shen, Shiyun Shao, Einar Wilder‐Smith, Zhongying Lin, Xiaofei Wu, Haibin Qu and Anis Yazidi. Their work appears in journals such as Chromatographia, IEEE Access, Journal of Pharmaceutical and Biomedical Analysis, PLoS ONE and Knowledge-Based Systems.
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.