Yifan Shi
- Artificial Intelligence top 2%
- Machine Learning and ELM 10
- Anomaly Detection Techniques and Applications 8
- Advanced Clustering Algorithms Research 6
- Imbalanced Data Classification Techniques 5
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- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 4
- Signal Processing top 5%
- Media Technology top 5%
- Remote-Sensing Image Classification 5
- Co-authors
- Zhiwen YuWenming CaoQianli MaDong XibinKaixiang YangC. L. Philip ChenAaron BobickWuxing Chen
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionHealth Information Management
- Journals
- IEEE Transactions on Multimedia (2 papers)IEEE Transactions on Industrial Informatics (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yifan Shi
31 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 771
- Computer Vision and Pattern Recognition 393
- Health Information Management 60
- Signal Processing 136
- Media Technology 60
Countries citing papers authored by Yifan Shi
This map shows the geographic impact of Yifan Shi'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 Yifan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifan Shi more than expected).
Fields of papers citing papers by Yifan Shi
This network shows the impact of papers produced by Yifan Shi. 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 Yifan Shi. The network helps show where Yifan Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yifan Shi, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | A survey on imbalanced learning: latest research, applications and future directionsbreakdown → | 2024 | 124 |
| 10 | 2023 | 19 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 27 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 53 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 29 | |
| 19 | 2019 | 11 | |
| 20 | 2004 | 86 |
About Yifan Shi
Yifan Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning and ELM (10 papers), Face and Expression Recognition (9 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Clustering Algorithms Research (6 papers), Remote-Sensing Image Classification (5 papers), Imbalanced Data Classification Techniques (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Artificial Intelligence (771 citations), Computer Vision and Pattern Recognition (393 citations) and Health Information Management (60 citations). Yifan Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhiwen Yu, Wenming Cao, Qianli Ma, Dong Xibin, Kaixiang Yang, C. L. Philip Chen, Aaron Bobick, Wuxing Chen, Irfan Essa and Huanqiang Zeng. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems, Applied Sciences and Neural Computing and Applications.
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.