Shicai Wang
- Molecular Biology
- Artificial Intelligence
- Information Systems
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Yike GuoIbrahim EmamFlorian GuittonDavid JohnsonIoannis PandisChao WuGuangwen YangHaohuan Fu
- Topics
- Gene expression and cancer classification (4 papers)Bioinformatics and Genomic Networks (3 papers)Advanced Image and Video Retrieval Techniques (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Shicai Wang
5 papers receiving 81 citations
Peers
Comparison fields: 5 of 37
- Molecular Biology 44
- Artificial Intelligence 24
- Information Systems 14
- Computer Networks and Communications 13
- Computer Vision and Pattern Recognition 8
Countries citing papers authored by Shicai Wang
This map shows the geographic impact of Shicai Wang'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 Shicai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shicai Wang more than expected).
Fields of papers citing papers by Shicai Wang
This network shows the impact of papers produced by Shicai Wang. 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 Shicai Wang. The network helps show where Shicai Wang may publish in the future.
Co-authorship network of co-authors of Shicai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shicai Wang. A scholar is included among the top collaborators of Shicai Wang 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 Shicai Wang. Shicai Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Combining Multiple Feature Selection Methods and Deep Learning for High-dimensional Data | 9 |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 47 |
About Shicai Wang
Shicai Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, having authored 5 papers that have together received 83 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Health Information Management (6 citations), Information Systems and Management (8 citations) and Artificial Intelligence (24 citations). Shicai Wang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Yike Guo, Ibrahim Emam, Florian Guitton, David Johnson, Ioannis Pandis, Chao Wu, Guangwen Yang, Haohuan Fu and John Thomson. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and BMC Genomics.
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.