Xibei Yang
Impact in
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
Papers in
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- Imbalanced Data Classification Techniques 13
- Machine Learning and ELM 13
- Domain Adaptation and Few-Shot Learning 9
- Anomaly Detection Techniques and Applications 4
- Machine Learning and Algorithms 4
- Text and Document Classification Technologies 3
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- Face and Expression Recognition 7
- Co-authors
- Hualong Yu (20 shared papers)Changyin Sun (6 shared papers)Shang Zheng (6 shared papers)Shang Gao (11 shared papers)Xin Zuo (2 shared papers)Wankou Yang (2 shared papers)Chaoxu Mu (1 shared paper)Jifeng Shen (1 shared paper)
- Journals
- Neural Processing Letters (3 papers)Knowledge-Based Systems (3 papers)IEEE Access (3 papers)Neurocomputing (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Xibei Yang
23 papers receiving 680 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 541
- Health Information Management 30
- Computer Vision and Pattern Recognition 114
- Accounting 49
- Media Technology 36
Countries citing papers authored by Xibei Yang
This map shows the geographic impact of Xibei 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 Xibei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xibei Yang more than expected).
Fields of papers citing papers by Xibei Yang
This network shows the impact of papers produced by Xibei 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 Xibei Yang. The network helps show where Xibei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xibei 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 118 | |
| 2 | 2014 | 91 | |
| 3 | 2015 | 78 | |
| 4 | 2019 | 74 | |
| 5 | 2022 | 74 | |
| 6 | 2019 | 57 | |
| 7 | 2022 | 39 | |
| 8 | 2015 | 32 | |
| 9 | 2018 | 28 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 16 | |
| 12 | 2005 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2015 | 3 |
About Xibei Yang
Xibei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology and Information Systems, having authored 27 papers that have together received 699 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (13 papers), Machine Learning and ELM (13 papers), Domain Adaptation and Few-Shot Learning (9 papers), Face and Expression Recognition (7 papers), Electricity Theft Detection Techniques (4 papers), Anomaly Detection Techniques and Applications (4 papers), Machine Learning and Algorithms (4 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (541 citations), Health Information Management (30 citations), Computer Vision and Pattern Recognition (114 citations), Accounting (49 citations) and Media Technology (36 citations). Xibei Yang has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Hualong Yu, Changyin Sun, Shang Zheng, Shang Gao, Xin Zuo, Wankou Yang, Chaoxu Mu, Jifeng Shen, Yunsong Qi and Wankou Yang. Their work appears in journals such as Neural Processing Letters, Knowledge-Based Systems, IEEE Access, Neurocomputing and Applied Intelligence.
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.