Phillip C.‐Y. Sheu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Co-authors
- Yingxu WangJeffrey J. P. TsaiQiong LiuRonald C. KimCharles C. N. WangC. V. RamamoorthyR.L. KashyapB. Cummings
- Topics
- Semantic Web and Ontologies (29 papers)Advanced Database Systems and Queries (28 papers)Data Management and Algorithms (19 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Phillip C.‐Y. Sheu
105 papers receiving 852 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 345
- Computer Vision and Pattern Recognition 161
- Molecular Biology 159
- Computer Networks and Communications 127
- Information Systems 110
Countries citing papers authored by Phillip C.‐Y. Sheu
This map shows the geographic impact of Phillip C.‐Y. Sheu'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 Phillip C.‐Y. Sheu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip C.‐Y. Sheu more than expected).
Fields of papers citing papers by Phillip C.‐Y. Sheu
This network shows the impact of papers produced by Phillip C.‐Y. Sheu. 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 Phillip C.‐Y. Sheu. The network helps show where Phillip C.‐Y. Sheu may publish in the future.
Co-authorship network of co-authors of Phillip C.‐Y. Sheu
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip C.‐Y. Sheu. A scholar is included among the top collaborators of Phillip C.‐Y. Sheu 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 Phillip C.‐Y. Sheu. Phillip C.‐Y. Sheu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 64 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 52 | |
| 8 | The prediction of protein-protein interaction of A-thaliana and X-campestris pv. campestris based on protein domain and interolog approaches | 3 |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 37 | |
| 14 | 101 | |
| 15 | 0 | |
| 16 | 18 | |
| 17 | Processing of Multiple Queries in Distributed Databases | 1 |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 5 |
About Phillip C.‐Y. Sheu
Phillip C.‐Y. Sheu is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 125 papers that have together received 912 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (29 papers), Advanced Database Systems and Queries (28 papers) and Data Management and Algorithms (19 papers). The work is most often cited by research in Artificial Intelligence (345 citations), Software (30 citations) and Computer Vision and Pattern Recognition (161 citations). Phillip C.‐Y. Sheu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yingxu Wang, Jeffrey J. P. Tsai, Qiong Liu, Ronald C. Kim, Charles C. N. Wang, C. V. Ramamoorthy, R.L. Kashyap, B. Cummings, Kathryn Nichol and Carl W. Cotman. Their work appears in journals such as Experimental Neurology, Neurobiology of Aging and Computer.
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.