Keyuan Jiang
Impact in
- Information Systems top 10%
- Cloud Computing and Resource Management
- Spam and Phishing Detection
Papers in
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- Cloud Computing and Resource Management 8
-
- Biomedical Text Mining and Ontologies 6
- Bioinformatics and Genomic Networks 4
- Co-authors
- Yonghua Xiong (6 shared papers)Min Wu (4 shared papers)Jinhua She (2 shared papers)Gordon R. Bernard (10 shared papers)Bofeng Zhang (4 shared papers)Guobing Zou (4 shared papers)Reza Kamali (4 shared papers)Stanley B. Higgins (5 shared papers)
- Journals
- Computer applications in the biosciences (2 papers)Clinical Trials (1 paper)IEEE Transactions on Cloud Computing (1 paper)Information Sciences (1 paper)Journal of Web Semantics (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Keyuan Jiang
42 papers receiving 279 citations
Peers
Comparison fields: 5 of 76
- Information Systems 101
- Toxicology 14
- Health Informatics 5
- Statistical and Nonlinear Physics 41
- Artificial Intelligence 95
Countries citing papers authored by Keyuan Jiang
This map shows the geographic impact of Keyuan Jiang'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 Keyuan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyuan Jiang more than expected).
Fields of papers citing papers by Keyuan Jiang
This network shows the impact of papers produced by Keyuan Jiang. 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 Keyuan Jiang. The network helps show where Keyuan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyuan Jiang, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 44 | |
| 2 | 2017 | 33 | |
| 3 | 2018 | 31 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2015 | 14 | |
| 7 | 2018 | 10 | |
| 8 | A graphical ICU workstation. | 1991 | 8 |
| 9 | 2015 | 8 | |
| 10 | 2020 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2005 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2006 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 1990 | 4 |
About Keyuan Jiang
Keyuan Jiang is a scholar working on Information Systems, Molecular Biology, Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications, having authored 47 papers that have together received 292 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Misinformation and Its Impacts (7 papers), Biomedical Text Mining and Ontologies (6 papers), Experimental Learning in Engineering (5 papers), Cloud Computing and Remote Desktop Technologies (4 papers), Topic Modeling (4 papers), Caching and Content Delivery (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Information Systems (101 citations), Toxicology (14 citations), Health Informatics (5 citations), Statistical and Nonlinear Physics (41 citations) and Artificial Intelligence (95 citations). Keyuan Jiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yonghua Xiong, Min Wu, Jinhua She, Gordon R. Bernard, Bofeng Zhang, Guobing Zou, Reza Kamali, Stanley B. Higgins, Ge Jin and Minghao Zhu. Their work appears in journals such as Computer applications in the biosciences, Clinical Trials, IEEE Transactions on Cloud Computing, Information Sciences and Journal of Web Semantics.
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.