Lie Yang

800 total citations · 1 hit paper
32 papers, 449 citations indexed

About

Lie Yang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lie Yang has authored 32 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 10 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lie Yang's work include EEG and Brain-Computer Interfaces (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Neuroscience and Neural Engineering (5 papers). Lie Yang is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Autonomous Vehicle Technology and Safety (5 papers) and Neuroscience and Neural Engineering (5 papers). Lie Yang collaborates with scholars based in China, Singapore and Hong Kong. Lie Yang's co-authors include Longhan Xie, Yonghao Song, Ke Ma, Chen Lv, Ruxu Du, Guo Yang, Yong Zhong, Haohan Yang, Bin-Bin Hu and Jianying Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Review of Scientific Instruments.

In The Last Decade

Lie Yang

31 papers receiving 440 citations

Hit Papers

Human-Guided Continual Learning for Personalized Decision... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lie Yang China 13 159 103 76 73 69 32 449
Éric Monacelli France 12 175 1.1× 131 1.3× 141 1.9× 83 1.1× 59 0.9× 62 582
Amin Hosseini Iran 10 202 1.3× 36 0.3× 49 0.6× 50 0.7× 28 0.4× 54 590
M.P. Paulraj Malaysia 14 281 1.8× 57 0.6× 106 1.4× 150 2.1× 86 1.2× 106 713
Jinwei Sun China 15 218 1.4× 91 0.9× 38 0.5× 57 0.8× 56 0.8× 69 622
Ce Zhang United States 9 149 0.9× 39 0.4× 32 0.4× 25 0.3× 57 0.8× 23 367
Jiaxin Ma China 11 322 2.0× 70 0.7× 66 0.9× 65 0.9× 105 1.5× 37 619
Ali Farzamnia Malaysia 15 321 2.0× 89 0.9× 83 1.1× 125 1.7× 45 0.7× 88 880
Kan Hong China 11 107 0.7× 159 1.5× 34 0.4× 33 0.5× 40 0.6× 37 524
Samer Al Kork Kuwait 13 146 0.9× 72 0.7× 94 1.2× 57 0.8× 42 0.6× 45 445

Countries citing papers authored by Lie Yang

Since Specialization
Citations

This map shows the geographic impact of Lie 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 Lie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Yang more than expected).

Fields of papers citing papers by Lie Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lie 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 Lie Yang. The network helps show where Lie Yang may publish in the future.

Co-authorship network of co-authors of Lie Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lie Yang. A scholar is included among the top collaborators of Lie Yang 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 Lie Yang. Lie Yang 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.
Yang, Lie, Haohan Yang, Xiangkun He, Wenhui Huang, & Chen Lv. (2025). Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model. Knowledge-Based Systems. 320. 113704–113704. 1 indexed citations
2.
Li, Jingyuan, et al.. (2025). GLF-STAF: A Global-Local-Facial Spatio-Temporal Attention Fusion Approach for Driver Emotion Recognition. IEEE Transactions on Consumer Electronics. 71(2). 3486–3497.
3.
4.
Yang, Lie, Henglai Wei, Zhongxu Hu, & Chen Lv. (2025). A domain generalization method for deploying driver distraction detection models to practical application scenarios. Engineering Applications of Artificial Intelligence. 152. 110844–110844. 1 indexed citations
5.
Liu, Qingchao, Guoqing Liu, Lie Yang, et al.. (2025). Dual-perspective safety driver secondary task detection method based on swin-transformer and cross-attention. Advanced Engineering Informatics. 65. 103320–103320. 3 indexed citations
6.
Zhang, Yiran, Shanhe Lou, Peng Hang, et al.. (2024). Interactive Prediction and Decision-Making for Autonomous Vehicles: Online Active Learning With Traffic Entropy Minimization. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17718–17732. 4 indexed citations
7.
Zhang, Ziyang, Lie Yang, & Chen Lv. (2024). Highly Discriminative Driver Distraction Detection Method Based on Swin Transformer. SHILAP Revista de lepidopterología. 6(1). 140–156. 9 indexed citations
8.
Yang, Lie, et al.. (2024). Self‐Attention Mechanisms‐Based Laryngoscopy Image Classification Technique for Laryngeal Cancer Detection. Head & Neck. 47(3). 944–955. 4 indexed citations
9.
Kang, Yifan, et al.. (2024). A lightweight intelligent laryngeal cancer detection system for rural areas. American Journal of Otolaryngology. 45(6). 104474–104474. 3 indexed citations
10.
Wu, Jingda, et al.. (2024). Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 6595–6609. 19 indexed citations
11.
12.
Yang, Lie, et al.. (2023). A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15092–15104. 24 indexed citations
13.
Yang, Guo, et al.. (2021). Fault Diagnosis of Harmonic Drive With Imbalanced Data Using Generative Adversarial Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 41 indexed citations
14.
Yang, Lie, et al.. (2021). Two-branch 3D convolutional neural network for motor imagery EEG decoding. Journal of Neural Engineering. 18(4). 0460c7–0460c7. 11 indexed citations
15.
Yang, Guo, Yong Zhong, Lie Yang, et al.. (2021). An Intelligent Compound Fault Diagnosis Method Using Convolutional Neural Network for Harmonic Drive. 2021 China Automation Congress (CAC). 619–623. 8 indexed citations
16.
Yang, Lie, et al.. (2021). A novel motor imagery EEG decoding method based on feature separation. Journal of Neural Engineering. 18(3). 36022–36022. 14 indexed citations
17.
Yang, Guo, Yong Zhong, Lie Yang, & Ruxu Du. (2020). Fault Detection of Harmonic Drive Using Multiscale Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 34 indexed citations
18.
Song, Yonghao, Siqi Cai, Lie Yang, et al.. (2020). A Practical EEG-Based Human-Machine Interface to Online Control an Upper-Limb Assist Robot. Frontiers in Neurorobotics. 14. 32–32. 18 indexed citations
19.
Lu, Jiazhen & Lie Yang. (2018). Optimal scheme of star observation of missile-borne inertial navigation system/stellar refraction integrated navigation. Review of Scientific Instruments. 89(5). 54501–54501. 5 indexed citations
20.
Yang, Lie. (2012). Application of Wavelet Neural Network in Prediction of Short Time Traffic Flow Prediction. Jisuanji fangzhen. 2 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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