Kun Yi
Impact in
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- Time Series Analysis and Forecasting
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- Air Quality and Health Impacts
Papers in
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- Natural Language Processing Techniques 3
- Anomaly Detection Techniques and Applications 3
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- Time Series Analysis and Forecasting 8
- Co-authors
- Qi Zhang (7 shared papers)Hui He (6 shared papers)Zhendong Niu (5 shared papers)Lifeng Sun (5 shared papers)Longbing Cao (3 shared papers)Zhi Wang (5 shared papers)Duoqian Miao (2 shared papers)Jiangchuan Liu (2 shared papers)
- Journals
- Information Sciences (1 paper)Environmental Health Perspectives (1 paper)Geocarto International (1 paper)ACM Transactions on Information Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kun Yi
20 papers receiving 129 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 30
- Health, Toxicology and Mutagenesis 19
- Artificial Intelligence 41
- Computer Vision and Pattern Recognition 25
- Management Science and Operations Research 10
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 30 | |
| 2 | 2022 | 19 | |
| 3 | 2024 | 17 | |
| 4 | 2018 | 10 | |
| 5 | 2017 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 | |
| 16 | Analysis and Performance of a Smart,High-Voltage SENSFET | 2007 | 2 |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2020 | 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 25 papers that have together received 137 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (8 papers), Natural Language Processing Techniques (3 papers), Stock Market Forecasting Methods (3 papers), Traffic Prediction and Management Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Caching and Content Delivery (2 papers), Peer-to-Peer Network Technologies (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Signal Processing (30 citations), Health, Toxicology and Mutagenesis (19 citations), Artificial Intelligence (41 citations), Computer Vision and Pattern Recognition (25 citations) and Management Science and Operations Research (10 citations). Kun Yi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qi Zhang, Hui He, Zhendong Niu, Lifeng Sun, Longbing Cao, Zhi Wang, Duoqian Miao, Jiangchuan Liu, Liang Hu and Igor Burstyn. Their work appears in journals such as Information Sciences, Environmental Health Perspectives, Geocarto International, ACM Transactions on Information Systems and IEEE Transactions on Knowledge and Data Engineering.
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.