Jer‐Guang Hsieh
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- Stability and Control of Uncertain Systems 30
- Stability and Controllability of Differential Equations 14
- Adaptive Control of Nonlinear Systems 13
- Fault Detection and Control Systems 8
- Advanced Control Systems Design 6
- Mathematical Physics top 5%
- Artificial Intelligence top 5%
- Neural Networks and Applications 21
- Fuzzy Logic and Control Systems 7
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- Neural Networks Stability and Synchronization 19
- Health Informatics top 10%
Jer‐Guang Hsieh
97 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 130
- Control and Systems Engineering 762
- Mathematical Physics 124
- Artificial Intelligence 431
- Computer Networks and Communications 271
- Health Informatics 16
Countries citing papers authored by Jer‐Guang Hsieh
This map shows the geographic impact of Jer‐Guang Hsieh'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 Jer‐Guang Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jer‐Guang Hsieh more than expected).
Fields of papers citing papers by Jer‐Guang Hsieh
This network shows the impact of papers produced by Jer‐Guang Hsieh. 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 Jer‐Guang Hsieh. The network helps show where Jer‐Guang Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jer‐Guang Hsieh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 8 | |
| 2 | 2020 | 25 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 19 | |
| 5 | A Study on Combined CNN-SVM Model for Visual Object Recognition. | 2019 | 1 |
| 6 | 2011 | 10 | |
| 7 | 2009 | 51 | |
| 8 | 2008 | 60 | |
| 9 | Characterization of canonical robust template values for a class of uncoupled CNNs implementing linearly separable Boolean functions | 2005 | 0 |
| 10 | 2005 | 46 | |
| 11 | D-stability for a class of discrete descriptor systems with multiple time delays | 2002 | 7 |
| 12 | 2002 | 19 | |
| 13 | 2002 | 62 | |
| 14 | 2000 | 93 | |
| 15 | 1999 | 3 | |
| 16 | 1998 | 10 | |
| 17 | 1998 | 11 | |
| 18 | 1997 | 10 | |
| 19 | 1996 | 9 | |
| 20 | 1994 | 8 |
About Jer‐Guang Hsieh
Jer‐Guang Hsieh is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (30 papers), Neural Networks and Applications (21 papers), Neural Networks Stability and Synchronization (19 papers), Stability and Controllability of Differential Equations (14 papers), Adaptive Control of Nonlinear Systems (13 papers), Fault Detection and Control Systems (8 papers), Fuzzy Logic and Control Systems (7 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Control and Systems Engineering (762 citations), Mathematical Physics (124 citations) and Artificial Intelligence (431 citations). Jer‐Guang Hsieh has collaborated with scholars based in Taiwan, Philippines and United States. Frequent co-authors include Jyh-Horng Jeng, Rey‐Chue Hwang, Wei‐Der Chang, Chang‐Hua Lien, Yeong‐Jeu Sun, Yih-Lon Lin, Chun‐Chieh Tseng, Ker‐Wei Yu, Huang‐Chu Huang and Kuo-Hsien Hsia. Their work appears in journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.
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.