Ke Yan

1.0k total citations · 1 hit paper
25 papers, 692 citations indexed

About

Ke Yan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ke Yan has authored 25 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ke Yan's work include AI in cancer detection (3 papers), Fault Detection and Control Systems (3 papers) and Machine Fault Diagnosis Techniques (3 papers). Ke Yan is often cited by papers focused on AI in cancer detection (3 papers), Fault Detection and Control Systems (3 papers) and Machine Fault Diagnosis Techniques (3 papers). Ke Yan collaborates with scholars based in China, Singapore and Japan. Ke Yan's co-authors include Xiaokang Zhou, Wei Liang, Kevin I‐Kai Wang, Weimin Li, Shohei Shimizu, Jianhua Ma, Qun Jin, Katharina Probst, Maxine Eskénazi and Xinke Chen and has published in prestigious journals such as Applied Energy, Energy and Buildings and Remote Sensing.

In The Last Decade

Ke Yan

24 papers receiving 672 citations

Hit Papers

Hierarchical Adversarial Attacks Against Graph-Neural-Net... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ke Yan China 12 321 171 126 101 95 25 692
Kuan-Cheng Lin Taiwan 12 222 0.7× 73 0.4× 101 0.8× 71 0.7× 58 0.6× 33 532
Fadwa Alrowais Saudi Arabia 15 175 0.5× 206 1.2× 66 0.5× 198 2.0× 66 0.7× 67 706
Muhammad Faheem Mushtaq Pakistan 17 353 1.1× 140 0.8× 38 0.3× 119 1.2× 149 1.6× 45 774
Adil O. Khadidos Saudi Arabia 14 149 0.5× 179 1.0× 60 0.5× 63 0.6× 135 1.4× 62 550
Muhammad Umar Aftab Pakistan 17 329 1.0× 234 1.4× 56 0.4× 144 1.4× 158 1.7× 55 941
Mohit Jain India 6 522 1.6× 109 0.6× 132 1.0× 205 2.0× 40 0.4× 9 1.0k
Lubna A. Gabralla Saudi Arabia 17 207 0.6× 59 0.3× 63 0.5× 62 0.6× 106 1.1× 41 758
Aznul Qalid Md Sabri Malaysia 15 252 0.8× 119 0.7× 39 0.3× 67 0.7× 58 0.6× 44 697
Saad Almutairi Saudi Arabia 15 220 0.7× 285 1.7× 56 0.4× 64 0.6× 128 1.3× 45 752
Ramgopal Kashyap India 19 230 0.7× 165 1.0× 50 0.4× 67 0.7× 136 1.4× 52 987

Countries citing papers authored by Ke Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ke Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yan. A scholar is included among the top collaborators of Ke Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ke Yan. Ke Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Jialong, et al.. (2025). A High-Precision Parameter Identification Framework for Permanent Magnet Synchronous Traction Motors in Urban Rail Trains. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
2.
Yan, Ke, et al.. (2025). Light-Weight Synthetic Aperture Radar Image Saliency Enhancement Method Based on Sea–Land Segmentation Preference. Remote Sensing. 17(5). 795–795. 1 indexed citations
3.
Ma, Xiang, et al.. (2024). GWO-ANFIS-RD3PG: A reinforcement learning approach with dynamic adjustment and dual replay mechanism for building energy forecasting. Journal of Building Engineering. 97. 110726–110726. 2 indexed citations
4.
Zhao, Yuan, et al.. (2024). Ensemble learning based multi-fault diagnosis of air conditioning system. Energy and Buildings. 319. 114548–114548. 9 indexed citations
5.
Gao, Dawei, Yongsheng Zhu, Linbo Zhu, et al.. (2023). Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis. Reliability Engineering & System Safety. 242. 109746–109746. 24 indexed citations
6.
Liang, Wei, et al.. (2023). Federal learning edge network based sentiment analysis combating global COVID-19. Computer Communications. 204. 33–42. 18 indexed citations
7.
Wang, Wenyan, Yongtao Li, Jun Zhang, et al.. (2023). Medical Tumor Image Classification Based on Few-Shot Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 715–724. 12 indexed citations
8.
Li, Xin, et al.. (2023). An Intelligent Fault Detection Method of Industrial Gearboxes With Robustness One-Class Support Matrix Machine Toward Multisource Nonideal Data. IEEE/ASME Transactions on Mechatronics. 29(1). 388–399. 3 indexed citations
9.
Xie, Xiaojun, Fei Xia, Yufeng Wu, et al.. (2023). A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection. Plant Phenomics. 5. 39–39. 21 indexed citations
10.
Yan, Ke, Xinke Chen, Xiaokang Zhou, Zheng Yan, & Jianhua Ma. (2022). Physical Model Informed Fault Detection and Diagnosis of Air Handling Units Based on Transformer Generative Adversarial Network. IEEE Transactions on Industrial Informatics. 19(2). 2192–2199. 58 indexed citations
11.
Zhou, Xiaokang, Wei Liang, Ke Yan, et al.. (2022). Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything. IEEE Internet of Things Journal. 10(4). 3295–3304. 96 indexed citations
12.
Du, Yang, et al.. (2022). A novel adaptive penalty mechanism for Peer-to-Peer energy trading. Applied Energy. 327. 120125–120125. 9 indexed citations
13.
Zhang, Liyan, et al.. (2022). An Integrated Cooperative Control Strategy for EVs Accessed Community Uninterruptible Power System. IEEE Transactions on Intelligent Vehicles. 8(3). 2482–2493. 7 indexed citations
14.
Huang, Jing, et al.. (2022). AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1494–1503. 10 indexed citations
15.
Ren, Zhijun, Wenjun Su, Rui Zhang, et al.. (2022). Gradient harmonized loss: Improving the performance of intelligent diagnosis models in large imbalance scenarios. 107. 34–39. 1 indexed citations
16.
Zhou, Xiaokang, Wei Liang, Weimin Li, et al.. (2021). Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System. IEEE Internet of Things Journal. 9(12). 9310–9319. 206 indexed citations breakdown →
17.
Teramoto, Atsushi, Yuka Kiriyama, Tetsuya Tsukamoto, et al.. (2019). Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network. Informatics in Medicine Unlocked. 16. 100205–100205. 61 indexed citations
18.
Yan, Ke, Le Lü, & Ronald M. Summers. (2017). Unsupervised body part regression using convolutional neural network with self-organization.. arXiv (Cornell University). 3 indexed citations
19.
Jin, Yan, et al.. (2013). Gender differences in detecting unanticipated stimuli: An ERP study. Neuroscience Letters. 538. 38–42. 18 indexed citations
20.
Yan, Ke. (2011). Research on the architecture of military embedded simulation technology. Electronic Design Engineering. 1 indexed citations

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.

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