Yulin He
Impact in
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
- Machine Learning and ELM
- Internet Traffic Analysis and Secure E-voting
- Neural Networks and Applications
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Machine Learning and ELM 21
- Machine Learning and Data Classification 16
- Neural Networks and Applications 13
- Anomaly Detection Techniques and Applications 12
- Domain Adaptation and Few-Shot Learning 9
- Bayesian Modeling and Causal Inference 8
- Imbalanced Data Classification Techniques 6
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- Face and Expression Recognition 20
- Co-authors
- Xizhao Wang (19 shared papers)Joshua Zhexue Huang (42 shared papers)Rana Aamir Raza Ashfaq (6 shared papers)Haider Abbas (1 shared paper)A. Kundu (5 shared papers)Yanxing Hu (5 shared papers)James N.K. Liu (3 shared papers)Salman Salloum (6 shared papers)
In The Last Decade
Yulin He
87 papers receiving 1.8k citations
Yulin He's Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.0k
- Signal Processing 220
- Computer Vision and Pattern Recognition 395
- Computer Networks and Communications 433
- Management Science and Operations Research 186
Countries citing papers authored by Yulin He
This map shows the geographic impact of Yulin He'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 Yulin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulin He more than expected).
Fields of papers citing papers by Yulin He
This network shows the impact of papers produced by Yulin He. 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 Yulin He. The network helps show where Yulin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yulin He, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fuzziness based semi-supervised learning approach for intrusion detection system Hit paper breakdown → | 2016 | 408 |
| 2 | 1991 | 124 | |
| 3 | 2014 | 117 | |
| 4 | 2016 | 111 | |
| 5 | 2011 | 98 | |
| 6 | 2013 | 82 | |
| 7 | 2019 | 77 | |
| 8 | 2022 | 57 | |
| 9 | 2016 | 57 | |
| 10 | 2013 | 53 | |
| 11 | 2018 | 51 | |
| 12 | 2014 | 40 | |
| 13 | 2016 | 39 | |
| 14 | 2017 | 31 | |
| 15 | 2012 | 27 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 20 | |
| 18 | 2022 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2016 | 18 |
About Yulin He
Yulin He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Statistics and Probability, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning and ELM (21 papers), Face and Expression Recognition (20 papers), Machine Learning and Data Classification (16 papers), Neural Networks and Applications (13 papers), Anomaly Detection Techniques and Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers), Bayesian Modeling and Causal Inference (8 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Signal Processing (220 citations), Computer Vision and Pattern Recognition (395 citations), Computer Networks and Communications (433 citations) and Management Science and Operations Research (186 citations). Yulin He has collaborated with scholars based in China, Hong Kong and Pakistan. Frequent co-authors include Xizhao Wang, Joshua Zhexue Huang, Rana Aamir Raza Ashfaq, Haider Abbas, A. Kundu, Yanxing Hu, James N.K. Liu, Salman Salloum, Debby D. Wang and Huanyu Zhao. Their work appears in journals such as Information Sciences, Neural Computing and Applications, Expert Systems with Applications, CAAI Transactions on Intelligence Technology and Engineering Applications of Artificial 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.