Kaixiang Yang
Impact in
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and ELM
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and ELM 20
- Anomaly Detection Techniques and Applications 14
- Imbalanced Data Classification Techniques 12
- Domain Adaptation and Few-Shot Learning 6
-
- Face and Expression Recognition 14
- Co-authors
- Zhiwen Yu (45 shared papers)C. L. Philip Chen (34 shared papers)Yifan Shi (18 shared papers)Wuxing Chen (13 shared papers)Wenming Cao (7 shared papers)Jane You (5 shared papers)Hau−San Wong (4 shared papers)Qinmin Yang (15 shared papers)
In The Last Decade
Kaixiang Yang
77 papers receiving 1.0k citations
Kaixiang Yang's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 590
- Computer Vision and Pattern Recognition 226
- Health Information Management 32
- Signal Processing 70
- Control and Systems Engineering 129
Countries citing papers authored by Kaixiang Yang
This map shows the geographic impact of Kaixiang Yang'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 Kaixiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixiang Yang more than expected).
Fields of papers citing papers by Kaixiang Yang
This network shows the impact of papers produced by Kaixiang Yang. 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 Kaixiang Yang. The network helps show where Kaixiang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaixiang Yang, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on imbalanced learning: latest research, applications and future directions Hit paper breakdown → | 2024 | 157 |
| 2 | 2019 | 102 | |
| 3 | 2021 | 78 | |
| 4 | Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches Hit paper breakdown → | 2024 | 59 |
| 5 | 2022 | 58 | |
| 6 | 2021 | 50 | |
| 7 | 2023 | 36 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 23 | |
| 11 | 2024 | 21 | |
| 12 | 2024 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2024 | 19 | |
| 15 | 2023 | 19 | |
| 16 | 2024 | 19 | |
| 17 | 2023 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2023 | 14 |
About Kaixiang Yang
Kaixiang Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Learning and ELM (20 papers), Anomaly Detection Techniques and Applications (14 papers), Face and Expression Recognition (14 papers), Imbalanced Data Classification Techniques (12 papers), Electricity Theft Detection Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers), Fault Detection and Control Systems (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Artificial Intelligence (590 citations), Computer Vision and Pattern Recognition (226 citations), Health Information Management (32 citations), Signal Processing (70 citations) and Control and Systems Engineering (129 citations). Kaixiang Yang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Zhiwen Yu, C. L. Philip Chen, Yifan Shi, Wuxing Chen, Wenming Cao, Jane You, Hau−San Wong, Qinmin Yang, Chengyuan Zhu and Huanqiang Zeng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Big Data.
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.