Wilfred W. Li
- Molecular Biology
- Epidemiology top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Rommie E. AmaroJ. Andrew McCammonLily S. ChengPeter ArzbergerDong XuSriram KrishnanYong HuangRobert M. Hanson
- Topics
- Distributed and Parallel Computing Systems (14 papers)Protein Structure and Dynamics (10 papers)Influenza Virus Research Studies (9 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Wilfred W. Li
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 630
- Epidemiology 383
- Computer Networks and Communications 133
- Computational Theory and Mathematics 123
- Radiology, Nuclear Medicine and Imaging 97
Countries citing papers authored by Wilfred W. Li
This map shows the geographic impact of Wilfred W. Li'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 Wilfred W. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfred W. Li more than expected).
Fields of papers citing papers by Wilfred W. Li
This network shows the impact of papers produced by Wilfred W. Li. 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 Wilfred W. Li. The network helps show where Wilfred W. Li may publish in the future.
Co-authorship network of co-authors of Wilfred W. Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wilfred W. Li. A scholar is included among the top collaborators of Wilfred W. Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wilfred W. Li. Wilfred W. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 117 | |
| 6 | 235 | |
| 7 | 2 | |
| 8 | 48 | |
| 9 | 67 | |
| 10 | 40 | |
| 11 | 163 | |
| 12 | 1 | |
| 13 | GDIA: A Scalable Grid Infrastructure for Data Intensive Applications. | 1 |
| 14 | 138 | |
| 15 | My WorkSphere: Integrative work environment for grid-unaware biomedical researchers and applications | 4 |
| 16 | 19 | |
| 17 | 16 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 29 |
About Wilfred W. Li
Wilfred W. Li is a scholar working on Information Systems and Management, Hardware and Architecture and Computer Networks and Communications, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Protein Structure and Dynamics (10 papers) and Influenza Virus Research Studies (9 papers). The work is most often cited by research in Epidemiology (383 citations), Molecular Biology (630 citations) and Information Systems and Management (54 citations). Wilfred W. Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Rommie E. Amaro, J. Andrew McCammon, Lily S. Cheng, Peter Arzberger, Dong Xu, Sriram Krishnan, Yong Huang, Robert M. Hanson, Jens Erik Nielsen and Malcolm Tobias. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.
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.