Ke Chen
Impact in
- Gastroenterology top 2%
- Gastrointestinal Tumor Research and Treatment
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Privacy-Preserving Technologies in Data 9
- Topic Modeling 8
- Text and Document Classification Technologies 8
- Cryptography and Data Security 6
- Machine Learning and Data Classification 5
-
- Data Management and Algorithms 11
- Co-authors
- Lidan Shou (29 shared papers)Gang Chen (22 shared papers)Yiping Mou (7 shared papers)Xiaowu Xu (6 shared papers)Yu Pan (9 shared papers)Zhenhua Wang (1 shared paper)Jiaqin Cai (5 shared papers)Huan Li (8 shared papers)
- Journals
- Proceedings of the VLDB Endowment (5 papers)Journal of Zhejiang University. Science A (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)The VLDB Journal (2 papers)Medicine (2 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Ke Chen
64 papers receiving 989 citations
Peers
Comparison fields: 5 of 102
- Gastroenterology 159
- Hepatology 82
- Cancer Research 117
- Signal Processing 87
- Artificial Intelligence 228
Countries citing papers authored by Ke Chen
This map shows the geographic impact of Ke Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Chen more than expected).
Fields of papers citing papers by Ke Chen
This network shows the impact of papers produced by Ke Chen. 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 Chen. The network helps show where Ke Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Chen, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2020 | 74 | |
| 3 | The roles and mechanisms of YTH domain-containing proteins in cancer development and progression. | 2020 | 63 |
| 4 | 2014 | 60 | |
| 5 | 2019 | 59 | |
| 6 | 2021 | 53 | |
| 7 | 2013 | 34 | |
| 8 | 2014 | 32 | |
| 9 | 2015 | 31 | |
| 10 | 2020 | 29 | |
| 11 | 2023 | 28 | |
| 12 | 2008 | 26 | |
| 13 | 2011 | 25 | |
| 14 | 2018 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2018 | 21 | |
| 19 | 2015 | 19 | |
| 20 | 2021 | 18 |
About Ke Chen
Ke Chen is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Privacy-Preserving Technologies in Data (9 papers), Topic Modeling (8 papers), Text and Document Classification Technologies (8 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Cryptography and Data Security (6 papers), Data Quality and Management (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Gastroenterology (159 citations), Hepatology (82 citations), Cancer Research (117 citations), Signal Processing (87 citations) and Artificial Intelligence (228 citations). Ke Chen has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Lidan Shou, Gang Chen, Yiping Mou, Xiaowu Xu, Yu Pan, Zhenhua Wang, Jiaqin Cai, Huan Li, Yucheng Zhou and Tian Xie. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Zhejiang University. Science A, IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal and Medicine.
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.