Feng Tan
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Control and Systems Engineering
- Topics
- Formal Methods in Verification (4 papers)Real-Time Systems Scheduling (3 papers)Drilling and Well Engineering (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Tan
20 papers receiving 345 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 170
- Computer Vision and Pattern Recognition 65
- Computational Theory and Mathematics 62
- Molecular Biology 58
- Control and Systems Engineering 37
Countries citing papers authored by Feng Tan
This map shows the geographic impact of Feng Tan'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 Feng Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Tan more than expected).
Fields of papers citing papers by Feng Tan
This network shows the impact of papers produced by Feng Tan. 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 Feng Tan. The network helps show where Feng Tan may publish in the future.
Co-authorship network of co-authors of Feng Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tan. A scholar is included among the top collaborators of Feng Tan 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 Feng Tan. Feng Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | 192 | |
| 16 | Improving feature selection techniques for machine learning | 14 |
| 17 | 25 | |
| 18 | Feature Similarity Based Redundancy Reduction for Gene Selection. | 11 |
| 19 | 1 | |
| 20 | To Control Teaching Steps of Metalworking Practice and to Improve Teaching Quality | 1 |
About Feng Tan
Feng Tan is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Artificial Intelligence, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Formal Methods in Verification (4 papers), Real-Time Systems Scheduling (3 papers) and Drilling and Well Engineering (3 papers). The work is most often cited by research in Artificial Intelligence (170 citations), Software (17 citations) and Computational Theory and Mathematics (62 citations). Feng Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anu G. Bourgeois, Yanqing Zhang, Lei Bu, Qixin Wang, Xue Liu, Jiannong Cao, Yanqing Zhang, Tao Li, Tao Li and Neeraj Suri. Their work appears in journals such as Scientific Reports, Geophysics and Knowledge-Based Systems.
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.