Jun Yi
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Adaptive Dynamic Programming Control
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- Fault Detection and Control Systems
Papers in
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- Fault Detection and Control Systems 9
- Advanced Algorithms and Applications 4
- Co-authors
- Haibo He (10 shared papers)Wei Zhou (14 shared papers)Taifu Li (13 shared papers)Lizhong Yao (13 shared papers)Wei Zhou (11 shared papers)Di Huang (4 shared papers)Xiaoliang Li (1 shared paper)Clayton V. Deutsch (3 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (4 papers)IEEE Transactions on Industrial Electronics (3 papers)IEEE Transactions on Evolutionary Computation (3 papers)IEEE Access (2 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Yi
70 papers receiving 905 citations
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 202
- Control and Systems Engineering 247
- Artificial Intelligence 282
- Ocean Engineering 111
- Computer Vision and Pattern Recognition 117
Countries citing papers authored by Jun Yi
This map shows the geographic impact of Jun Yi'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 Jun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yi more than expected).
Fields of papers citing papers by Jun Yi
This network shows the impact of papers produced by Jun Yi. 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 Jun Yi. The network helps show where Jun Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yi, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2020 | 57 | |
| 3 | 2017 | 57 | |
| 4 | 2017 | 50 | |
| 5 | 2015 | 49 | |
| 6 | 2018 | 48 | |
| 7 | 2018 | 42 | |
| 8 | 2018 | 41 | |
| 9 | 2022 | 39 | |
| 10 | 2016 | 34 | |
| 11 | 2008 | 27 | |
| 12 | Calculation of Line Loss Rate in Transformer District Based on Improved K-Means Clustering Algorithm and BP Neural Network | 2016 | 26 |
| 13 | 2023 | 25 | |
| 14 | 2023 | 21 | |
| 15 | 2024 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2019 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2022 | 16 |
About Jun Yi
Jun Yi is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 931 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Adaptive Dynamic Programming Control (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Algorithms and Applications (4 papers), Mineral Processing and Grinding (4 papers) and Mechanical Circulatory Support Devices (4 papers). The work is most often cited by research in Computational Theory and Mathematics (202 citations), Control and Systems Engineering (247 citations), Artificial Intelligence (282 citations), Ocean Engineering (111 citations) and Computer Vision and Pattern Recognition (117 citations). Jun Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haibo He, Wei Zhou, Taifu Li, Lizhong Yao, Wei Zhou, Di Huang, Xiaoliang Li, Clayton V. Deutsch, I. Yücel Akkutlu and Jun Peng. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Evolutionary Computation, IEEE Access and IEEE Internet of Things Journal.
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.