Weisi Chen
Impact in
-
- Cell Adhesion Molecules Research
- General Social Sciences top 5%
Papers in
-
- Topic Modeling 5
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
-
- Advanced Database Systems and Queries 3
- Co-authors
- Fethi Rabhi (8 shared papers)Fei Wu (2 shared papers)Claudia Fischbach (2 shared papers)Karin Wang (1 shared paper)Bo Ri Seo (1 shared paper)L. Hsu (1 shared paper)Delphine Gourdon (1 shared paper)Andrew J. Berry (3 shared papers)
- Journals
- Scientific Reports (3 papers)EP Europace (2 papers)Journal of the American Medical Directors Association (2 papers)Journal of Alzheimer s Disease (1 paper)Big Data and Cognitive Computing (1 paper)
- Partner nations
- ChinaAustraliaUnited Arab Emirates
In The Last Decade
Weisi Chen
30 papers receiving 371 citations
Peers
Comparison fields: 5 of 104
- Immunology and Allergy 23
- General Social Sciences 13
- Management Science and Operations Research 30
- Cell Biology 36
- Developmental Neuroscience 7
Countries citing papers authored by Weisi Chen
This map shows the geographic impact of Weisi 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 Weisi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weisi Chen more than expected).
Fields of papers citing papers by Weisi Chen
This network shows the impact of papers produced by Weisi 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 Weisi Chen. The network helps show where Weisi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weisi 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2023 | 33 | |
| 3 | 2017 | 28 | |
| 4 | 2018 | 28 | |
| 5 | 2023 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2013 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2016 | 17 | |
| 10 | 2024 | 16 | |
| 11 | 2023 | 12 | |
| 12 | 2016 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2015 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 3 |
About Weisi Chen
Weisi Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Plant Science and Information Systems, having authored 36 papers that have together received 379 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Stock Market Forecasting Methods (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Computational and Text Analysis Methods (3 papers), Scientific Computing and Data Management (3 papers), Advanced Database Systems and Queries (3 papers), Advanced Text Analysis Techniques (3 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Immunology and Allergy (23 citations), General Social Sciences (13 citations), Management Science and Operations Research (30 citations), Cell Biology (36 citations) and Developmental Neuroscience (7 citations). Weisi Chen has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Fethi Rabhi, Fei Wu, Claudia Fischbach, Karin Wang, Bo Ri Seo, L. Hsu, Delphine Gourdon, Andrew J. Berry, Zoran Milošević and Changxun Fang. Their work appears in journals such as Scientific Reports, EP Europace, Journal of the American Medical Directors Association, Journal of Alzheimer s Disease and Big Data and Cognitive Computing.
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.