Po-Hung Shen
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Faa‐Jeng LinChih‐Hong LinHsin‐Jang ShiehPo-Huang ShiehYing‐Shieh KungRong‐Fong FungCheng‐Fang Ou
- Topics
- Iterative Learning Control Systems (6 papers)Adaptive Control of Nonlinear Systems (4 papers)Fuzzy Logic and Control Systems (4 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Fuzzy SystemsIEEE Transactions on Aerospace and Electronic SystemsIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- Taiwan
In The Last Decade
Po-Hung Shen
9 papers receiving 358 citations
Peers
Comparison fields: 5 of 45
- Control and Systems Engineering 233
- Artificial Intelligence 188
- Electrical and Electronic Engineering 87
- Mechanical Engineering 53
- Computer Vision and Pattern Recognition 26
Countries citing papers authored by Po-Hung Shen
This map shows the geographic impact of Po-Hung Shen'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 Po-Hung Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po-Hung Shen more than expected).
Fields of papers citing papers by Po-Hung Shen
This network shows the impact of papers produced by Po-Hung Shen. 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 Po-Hung Shen. The network helps show where Po-Hung Shen may publish in the future.
Co-authorship network of co-authors of Po-Hung Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Po-Hung Shen. A scholar is included among the top collaborators of Po-Hung Shen 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 Po-Hung Shen. Po-Hung Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 64 | |
| 4 | 50 | |
| 5 | 18 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 199 |
About Po-Hung Shen
Po-Hung Shen is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 9 papers that have together received 377 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (6 papers), Adaptive Control of Nonlinear Systems (4 papers) and Fuzzy Logic and Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (233 citations), Artificial Intelligence (188 citations) and Electrical and Electronic Engineering (87 citations). Po-Hung Shen has collaborated with scholars based in Taiwan. Frequent co-authors include Faa‐Jeng Lin, Chih‐Hong Lin, Hsin‐Jang Shieh, Po-Huang Shieh, Ying‐Shieh Kung, Rong‐Fong Fung and Cheng‐Fang Ou. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.