Yuanting Yan
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
Papers in
-
- Imbalanced Data Classification Techniques 12
- Machine Learning and Data Classification 8
- Anomaly Detection Techniques and Applications 4
- Data Stream Mining Techniques 4
-
- Electricity Theft Detection Techniques 8
- Co-authors
- Yanping Zhang (13 shared papers)Xiuquan Du (7 shared papers)Yiwen Zhang (12 shared papers)Shiwei Sun (1 shared paper)Yu Yao (1 shared paper)Chang-Lin Hu (1 shared paper)Yuanwei Zhu (2 shared papers)Yanping Zhang (3 shared papers)
In The Last Decade
Yuanting Yan
31 papers receiving 523 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 237
- Health Information Management 29
- Computational Theory and Mathematics 89
- Molecular Biology 202
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Yuanting Yan
This map shows the geographic impact of Yuanting Yan'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 Yuanting Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanting Yan more than expected).
Fields of papers citing papers by Yuanting Yan
This network shows the impact of papers produced by Yuanting Yan. 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 Yuanting Yan. The network helps show where Yuanting Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuanting Yan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 191 | |
| 2 | 2019 | 54 | |
| 3 | 2020 | 53 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 31 | |
| 6 | 2017 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2025 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2025 | 2 |
About Yuanting Yan
Yuanting Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and Accounting, having authored 35 papers that have together received 530 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (12 papers), Electricity Theft Detection Techniques (8 papers), Machine Learning and Data Classification (8 papers), Anomaly Detection Techniques and Applications (4 papers), Financial Distress and Bankruptcy Prediction (4 papers), Data Stream Mining Techniques (4 papers), Face and Expression Recognition (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Health Information Management (29 citations), Computational Theory and Mathematics (89 citations), Molecular Biology (202 citations) and Computer Vision and Pattern Recognition (49 citations). Yuanting Yan has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Yanping Zhang, Xiuquan Du, Yiwen Zhang, Shiwei Sun, Yu Yao, Chang-Lin Hu, Yuanwei Zhu, Yanping Zhang, Ruiqing Liu and Peng Zhou. Their work appears in journals such as Neurocomputing, Information Sciences, Applied Intelligence, ACM Transactions on Knowledge Discovery from Data and Knowledge-Based Systems.
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.