Kun Yi
Impact in
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- Time Series Analysis and Forecasting
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- Topic Modeling
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 4
- Natural Language Processing Techniques 3
- Speech and dialogue systems 2
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- Time Series Analysis and Forecasting 9
- Data Management and Algorithms 2
- Co-authors
- Qi Zhang (7 shared papers)Hui He (7 shared papers)Zhendong Niu (6 shared papers)Longbing Cao (3 shared papers)Zhi Wang (5 shared papers)Lifeng Sun (5 shared papers)An Lao (1 shared paper)Liang Hu (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Transactions on Consumer Electronics (1 paper)Information Sciences (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kun Yi
21 papers receiving 155 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 36
- Artificial Intelligence 46
- Computer Vision and Pattern Recognition 27
- Health, Toxicology and Mutagenesis 17
- Management Science and Operations Research 13
Countries citing papers authored by Kun Yi
This map shows the geographic impact of Kun 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 Kun Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yi more than expected).
Fields of papers citing papers by Kun Yi
This network shows the impact of papers produced by Kun 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 Kun Yi. The network helps show where Kun Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 30 | |
| 2 | 2022 | 23 | |
| 3 | 2024 | 20 | |
| 4 | 2018 | 11 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2017 | 9 | |
| 8 | 2020 | 6 | |
| 9 | 2025 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2021 | 2 | |
| 18 | Analysis and Performance of a Smart,High-Voltage SENSFET | 2007 | 2 |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Kun Yi
Kun Yi is a scholar working on Artificial Intelligence, Signal Processing, Management Science and Operations Research, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 162 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (9 papers), Anomaly Detection Techniques and Applications (4 papers), Natural Language Processing Techniques (3 papers), Stock Market Forecasting Methods (3 papers), Traffic Prediction and Management Techniques (3 papers), Speech and dialogue systems (2 papers), Data Management and Algorithms (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (36 citations), Artificial Intelligence (46 citations), Computer Vision and Pattern Recognition (27 citations), Health, Toxicology and Mutagenesis (17 citations) and Management Science and Operations Research (13 citations). Kun Yi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qi Zhang, Hui He, Zhendong Niu, Longbing Cao, Zhi Wang, Lifeng Sun, An Lao, Liang Hu, Duoqian Miao and Chongyang Shi. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Information Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Consumer Electronics and Information Sciences.
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.