Ke Chen

1.4k citations
69 papers · 994 · h-index 19

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Privacy-Preserving Technologies in Data 9
    • Text and Document Classification Technologies 7
    • Topic Modeling 7
    • Cryptography and Data Security 6
    • Gastrointestinal disorders and treatments 7

Ke Chen

61 papers receiving 958 citations

Peers

Ke Chen
Comparison fields: 5 of 109
  • Gastroenterology 169
  • Hepatology 90
  • Cancer Research 130
  • Signal Processing 84
  • Artificial Intelligence 225
Replace Sabeur Aridhi with:
Sabeur Aridhi France
Ji Hyung Hong South Korea
Bohyoung Kim South Korea
Antoine Scherrer France
Liang Mao China
Changwang Zhang China
Ruishan Zhang China
Kazuhiro Minami Japan
Ke Chen relative to Sabeur Aridhi France Sabeur Aridhi's profile →
Citations per field
00.5×10×15×18.6×
Sabeur Aridhi · 1×
Citations per year

Countries citing papers authored by Ke Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ke Chen Line = papers co-authored together Ke Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201386
2 202071
3
The roles and mechanisms of YTH domain-containing proteins in cancer development and progression.
202064
4 201459
5 201959
6 202152
7 201333
8 201432
9 201530
10 202028
11 202326
12 200826
13 201825
14 201124
15 201723
16 201621
17 202121
18 201820
19 201519
20 202118

About Ke Chen

Ke Chen is a scholar working on Artificial Intelligence, Surgery, Signal Processing, Pulmonary and Respiratory Medicine and Information Systems, having authored 69 papers that have together received 994 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Privacy-Preserving Technologies in Data (9 papers), Text and Document Classification Technologies (7 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Gastric Cancer Management and Outcomes (7 papers), Gastrointestinal disorders and treatments (7 papers), Topic Modeling (7 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Gastroenterology (169 citations), Hepatology (90 citations), Cancer Research (130 citations), Signal Processing (84 citations) and Artificial Intelligence (225 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 Xinbing Sui. 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, World Journal of Surgical Oncology and BMC Surgery.

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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