Ke Yan
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Machine Fault Diagnosis Techniques 3
- Fault Detection and Control Systems 3
- Smart Grid Security and Resilience 2
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- AI in cancer detection 3
- Imbalanced Data Classification Techniques 3
- Co-authors
- Xiaokang Zhou (4 shared papers)Wei Liang (3 shared papers)Kevin I‐Kai Wang (2 shared papers)Weimin Li (2 shared papers)Shohei Shimizu (1 shared paper)Jianhua Ma (2 shared papers)Qun Jin (1 shared paper)Katharina Probst (1 shared paper)
In The Last Decade
Ke Yan
24 papers receiving 741 citations
Ke Yan's Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 344
- Signal Processing 92
- Computer Networks and Communications 185
- Health Informatics 8
- Control and Systems Engineering 136
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke 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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System Hit paper breakdown → | 2021 | 222 |
| 2 | 2022 | 105 | |
| 3 | 2019 | 70 | |
| 4 | 2022 | 66 | |
| 5 | 2022 | 60 | |
| 6 | 2002 | 45 | |
| 7 | 2022 | 28 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 22 | |
| 11 | 2013 | 18 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 5 | |
| 18 | Unsupervised body part regression using convolutional neural network with self-organization. | 2017 | 4 |
| 19 | 2024 | 3 | |
| 20 | 2011 | 2 |
About Ke Yan
Ke Yan is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 26 papers that have together received 760 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (3 papers), Fault Detection and Control Systems (3 papers), AI in cancer detection (3 papers), Imbalanced Data Classification Techniques (3 papers), Electricity Theft Detection Techniques (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Smart Grid Security and Resilience (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Artificial Intelligence (344 citations), Signal Processing (92 citations), Computer Networks and Communications (185 citations), Health Informatics (8 citations) and Control and Systems Engineering (136 citations). Ke Yan has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Xiaokang Zhou, Wei Liang, Kevin I‐Kai Wang, Weimin Li, Shohei Shimizu, Jianhua Ma, Qun Jin, Katharina Probst, Maxine Eskénazi and Jun Hong. Their work appears in journals such as IEEE Internet of Things Journal, Knowledge-Based Systems, Speech Communication, IEEE Transactions on Intelligent Vehicles and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.