Wenlong Hang

626 total citations
25 papers, 380 citations indexed

About

Wenlong Hang is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenlong Hang has authored 25 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenlong Hang's work include EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (7 papers) and Blind Source Separation Techniques (7 papers). Wenlong Hang is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (7 papers) and Blind Source Separation Techniques (7 papers). Wenlong Hang collaborates with scholars based in China, Hong Kong and United States. Wenlong Hang's co-authors include Shuang Liang, Kup‐Sze Choi, Qiong Wang, Shitong Wang, Wei Feng, Jing Xue, Yizhang Jiang, Dongrui Wu, Shi Qiu and Chin‐Teng Lin and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and Information Sciences.

In The Last Decade

Wenlong Hang

23 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenlong Hang China 10 157 130 128 63 54 25 380
Myung-Cheol Roh South Korea 10 130 0.8× 69 0.5× 242 1.9× 83 1.3× 45 0.8× 17 428
Mohammed J. Alhaddad Saudi Arabia 14 117 0.7× 158 1.2× 129 1.0× 59 0.9× 31 0.6× 39 435
Mario I. Chacón-Murguía Mexico 11 176 1.1× 103 0.8× 293 2.3× 38 0.6× 46 0.9× 58 591
Fardin Abdali-Mohammadi Iran 15 163 1.0× 135 1.0× 187 1.5× 33 0.5× 94 1.7× 44 573
Tingxi Wen China 13 188 1.2× 88 0.7× 87 0.7× 17 0.3× 64 1.2× 28 471
Yongshuo Zong China 8 139 0.9× 92 0.7× 78 0.6× 28 0.4× 28 0.5× 11 355
Jordan J. Bird United Kingdom 13 200 1.3× 160 1.2× 129 1.0× 93 1.5× 112 2.1× 33 562
Michał Podpora Poland 11 116 0.7× 107 0.8× 76 0.6× 22 0.3× 49 0.9× 52 420
Rahul Kumar Chaurasiya India 11 125 0.8× 92 0.7× 106 0.8× 41 0.7× 18 0.3× 52 309
Jianbin Tang Australia 10 138 0.9× 108 0.8× 211 1.6× 54 0.9× 88 1.6× 20 536

Countries citing papers authored by Wenlong Hang

Since Specialization
Citations

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

Fields of papers citing papers by Wenlong Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenlong Hang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenlong Hang. A scholar is included among the top collaborators of Wenlong Hang 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 Wenlong Hang. Wenlong Hang 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.
Hang, Wenlong, Junliang Wang, Shuang Liang, et al.. (2025). Multiscale Convolutional Transformer With Diverse-Aware Feature Learning for Motor Imagery EEG Decoding. IEEE Transactions on Cognitive and Developmental Systems. 17(6). 1389–1400. 1 indexed citations
2.
Hang, Wenlong, Shuang Liang, Qingfeng Zhang, et al.. (2024). Reliable semi-supervised mutual learning framework for medical image segmentation. Biomedical Signal Processing and Control. 99. 106798–106798. 1 indexed citations
3.
Zeng, Hao, et al.. (2024). Semi-Supervised Interior Decoration Style Classification with Contrastive Mutual Learning. Mathematics. 12(19). 2980–2980.
4.
Hang, Wenlong, Shuang Liang, Yuan Wu, et al.. (2024). RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2690–2702.
5.
Hang, Wenlong, Peng Dai, Shuang Liang, et al.. (2024). Pseudo-label guided selective mutual learning for semi-supervised 3D medical image segmentation. Biomedical Signal Processing and Control. 100. 107144–107144. 1 indexed citations
6.
Liang, Shuang, et al.. (2024). Adaptive deep feature representation learning for cross-subject EEG decoding. BMC Bioinformatics. 25(1). 393–393. 1 indexed citations
7.
Wang, Jun, Juncheng Li, Qianhui Yang, et al.. (2024). A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification. IEEE Journal of Biomedical and Health Informatics. 29(1). 310–323. 2 indexed citations
8.
Hang, Wenlong, Zengguang Li, Shuang Liang, et al.. (2023). Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification. Biomedical Signal Processing and Control. 82. 104579–104579. 2 indexed citations
9.
Liang, Shuang, Zengguang Li, Wenlong Hang, et al.. (2023). Structure invariance-driven collaborative contrastive network for EEG decoding. Biomedical Signal Processing and Control. 86. 105214–105214. 1 indexed citations
10.
Liang, Shuang, Wenlong Hang, Baiying Lei, et al.. (2022). Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7726–7739. 8 indexed citations
11.
Liang, Shuang, Wenlong Hang, Qiong Wang, et al.. (2022). Deep EEG feature learning via stacking common spatial pattern and support matrix machine. Biomedical Signal Processing and Control. 74. 103531–103531. 9 indexed citations
12.
Hang, Wenlong, Wei Feng, Shuang Liang, et al.. (2020). Deep stacked support matrix machine based representation learning for motor imagery EEG classification. Computer Methods and Programs in Biomedicine. 193. 105466–105466. 23 indexed citations
13.
Chen, Yan, Wenlong Hang, Shuang Liang, et al.. (2020). A Novel Transfer Support Matrix Machine for Motor Imagery-Based Brain Computer Interface. Frontiers in Neuroscience. 14. 606949–606949. 12 indexed citations
14.
15.
Jiang, Yizhang, Xiaoqing Gu, Dongrui Wu, et al.. (2020). A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(1). 40–52. 83 indexed citations
16.
Lei, Baiying, Xiaolu Liu, Shuang Liang, et al.. (2019). Walking Imagery Evaluation in Brain Computer Interfaces via a Multi-View Multi-Level Deep Polynomial Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(3). 497–506. 31 indexed citations
17.
Liu, Xiaolu, Shuang Liang, Wenlong Hang, et al.. (2017). Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 25–30. 6 indexed citations
18.
Hong, Wu, Shuang Liang, Wenlong Hang, et al.. (2017). Evaluation of Motor Training Performance in 3D Virtual Environment via Combining Brain-computer Interface and Haptic Feedback. Procedia Computer Science. 107. 256–261. 11 indexed citations
19.
Hang, Wenlong, Fu-Lai Chung, & Shitong Wang. (2016). Transfer affinity propagation-based clustering. Information Sciences. 348. 337–356. 23 indexed citations
20.
Hang, Wenlong, Kup‐Sze Choi, & Shitong Wang. (2016). Synchronization clustering based on central force optimization and its extension for large-scale datasets. Knowledge-Based Systems. 118. 31–44. 14 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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