Chang Che
Impact in
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- Neural Networks Stability and Synchronization
- Energy Efficient Wireless Sensor Networks
Papers in
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- Fuzzy Logic and Control Systems 2
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- Energy Efficient Wireless Sensor Networks 3
- Neural Networks Stability and Synchronization 2
- Mobile Ad Hoc Networks 2
- Co-authors
- Shulin Li (4 shared papers)Chen Li (4 shared papers)Yunpeng Xu (1 shared paper)Haibin Yu (3 shared papers)Wei Liang (2 shared papers)Shengxian Zhuang (2 shared papers)Bo Liu (2 shared papers)Lin Liu (1 shared paper)
- Journals
- IEEE Access (2 papers)Medical Physics (1 paper)Advanced Science (1 paper)PeerJ Computer Science (1 paper)International Journal of Fuzzy Systems (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Chang Che
41 papers receiving 538 citations
Peers
Comparison fields: 5 of 108
- Health Informatics 8
- Computer Networks and Communications 130
- Health Information Management 24
- Artificial Intelligence 137
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Chang Che
This map shows the geographic impact of Chang Che'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 Chang Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Che more than expected).
Fields of papers citing papers by Chang Che
This network shows the impact of papers produced by Chang Che. 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 Chang Che. The network helps show where Chang Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 46 | |
| 2 | 2024 | 43 | |
| 3 | 2007 | 43 | |
| 4 | 2023 | 37 | |
| 5 | 2023 | 35 | |
| 6 | 2018 | 34 | |
| 7 | 2024 | 32 | |
| 8 | 2023 | 32 | |
| 9 | 2018 | 27 | |
| 10 | 2024 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 21 | |
| 14 | 2024 | 16 | |
| 15 | 2024 | 13 | |
| 16 | 2019 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2024 | 10 | |
| 20 | 2022 | 10 |
About Chang Che
Chang Che is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 47 papers that have together received 560 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Multimodal Machine Learning Applications (2 papers), Neural Networks Stability and Synchronization (2 papers), Stability and Control of Uncertain Systems (2 papers), Fuzzy Logic and Control Systems (2 papers), Mobile Ad Hoc Networks (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Health Informatics (8 citations), Computer Networks and Communications (130 citations), Health Information Management (24 citations), Artificial Intelligence (137 citations) and Computer Vision and Pattern Recognition (76 citations). Chang Che has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Shulin Li, Chen Li, Yunpeng Xu, Haibin Yu, Wei Liang, Shengxian Zhuang, Bo Liu, Lin Liu, Hao Hu and Bo Liu. Their work appears in journals such as IEEE Access, Medical Physics, Advanced Science, PeerJ Computer Science and International Journal of Fuzzy 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.