Lin Shu

1.9k total citations · 1 hit paper
25 papers, 1.3k citations indexed

About

Lin Shu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Lin Shu has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Lin Shu's work include EEG and Brain-Computer Interfaces (10 papers), Emotion and Mood Recognition (9 papers) and Diabetic Foot Ulcer Assessment and Management (8 papers). Lin Shu is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Emotion and Mood Recognition (9 papers) and Diabetic Foot Ulcer Assessment and Management (8 papers). Lin Shu collaborates with scholars based in China, Hong Kong and Macao. Lin Shu's co-authors include Xiangmin Xu, Zhiyang Li, Dan Liao, Mingyue Yang, Ziyi Li, Tianyuan Xu, Bin Hu, Xiaofen Xing, Shibin Wu and Wenzhuo Chen and has published in prestigious journals such as Sensors, Frontiers in Neuroscience and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Lin Shu

22 papers receiving 1.2k citations

Hit Papers

A Review of Emotion Recognition Using Physiological Signals 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Emotion Recognition Using Physiological Signals
    2018 577 citations Lin Shu, Mingyue Yang et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Shu China 13 793 783 223 183 157 25 1.3k
Giorgos Giannakakis Greece 18 588 0.7× 515 0.7× 407 1.8× 149 0.8× 242 1.5× 59 1.6k
Christos A. Frantzidιs Greece 21 520 0.7× 911 1.2× 143 0.6× 99 0.5× 162 1.0× 66 1.6k
Jonghwa Kim Germany 13 998 1.3× 891 1.1× 264 1.2× 281 1.5× 294 1.9× 22 1.6k
Chi‐Hong Wang Taiwan 10 611 0.8× 955 1.2× 101 0.5× 121 0.7× 117 0.7× 15 1.4k
Yuan‐Pin Lin Taiwan 21 879 1.1× 1.6k 2.0× 180 0.8× 259 1.4× 129 0.8× 42 1.9k
Pasin Israsena Thailand 15 426 0.5× 777 1.0× 152 0.7× 108 0.6× 46 0.3× 45 1.0k
Mojtaba Khomami Abadi Italy 10 899 1.1× 714 0.9× 251 1.1× 101 0.6× 195 1.2× 12 1.2k
Setha Pan-ngum Thailand 11 410 0.5× 732 0.9× 139 0.6× 110 0.6× 43 0.3× 30 945
James Mountstephens Malaysia 12 426 0.5× 492 0.6× 81 0.4× 205 1.1× 144 0.9× 40 895
Lanlan Chen China 7 363 0.5× 379 0.5× 184 0.8× 62 0.3× 82 0.5× 14 639

Countries citing papers authored by Lin Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Shu. A scholar is included among the top collaborators of Lin Shu 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 Lin Shu. Lin Shu 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.
Li, Shengyang, Bowen Zhang, Zhiyao Zhao, et al.. (2025). Psychological and physiological computing based on multi-dimensional foot information. Artificial Intelligence Review. 58(5).
2.
Wu, Shibin, et al.. (2025). Wearable fall risk assessment by discriminating recessive weak foot individual. Journal of NeuroEngineering and Rehabilitation. 22(1). 64–64. 1 indexed citations
3.
Wang, Jiyu, et al.. (2025). Virtual tactile feedback technology based on microcurrent stimulation: current status, challenges and future prospects. Frontiers in Neuroscience. 19. 1519758–1519758.
4.
Liu, Yunhe, et al.. (2024). CEEMDAN fuzzy entropy based fatigue driving detection using single-channel EEG. Biomedical Signal Processing and Control. 95. 106460–106460. 9 indexed citations
5.
6.
Li, Gege, Shilin Li, Zhuodong Zhang, et al.. (2024). Identifying changes in dynamic plantar pressure associated with radiological knee osteoarthritis based on machine learning and wearable devices. Journal of NeuroEngineering and Rehabilitation. 21(1). 45–45. 5 indexed citations
7.
Sun, Chenming, et al.. (2023). Plantar pressure and falling risk in older individuals: a cross‐sectional study. Journal of Foot and Ankle Research. 16(1). 14–14. 8 indexed citations
8.
9.
Shu, Lin, et al.. (2022). Cross-subject EEG emotion recognition combined with connectivity features and meta-transfer learning. Computers in Biology and Medicine. 145. 105519–105519. 59 indexed citations
10.
Hu, Guo‐Hua, et al.. (2022). A Dataset for Falling Risk Assessment of the Elderly using Wearable Plantar Pressure. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2900–2904. 3 indexed citations
11.
Shu, Lin, et al.. (2022). Fall Risk Assessment for the Elderly Based on Weak Foot Features of Wearable Plantar Pressure. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 1060–1070. 30 indexed citations
12.
Zhang, Yue, et al.. (2021). Relaxation Degree Analysis Using Frontal Electroencephalogram Under Virtual Reality Relaxation Scenes. Frontiers in Neuroscience. 15. 719869–719869. 18 indexed citations
13.
Shu, Lin, et al.. (2021). Cross-subject And Cross-device Wearable EEG Emotion Recognition Using Frontal EEG Under Virtual Reality Scenes. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3630–3637. 6 indexed citations
14.
Shu, Lin, et al.. (2020). A Novel Low-Cost Wireless Footwear System for Monitoring Diabetic Foot Patients. IEEE Transactions on Biomedical Circuits and Systems. 15(1). 43–54. 37 indexed citations
15.
Xing, Xiaofen, Zhiyang Li, Tianyuan Xu, et al.. (2019). SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG. Frontiers in Neurorobotics. 13. 37–37. 210 indexed citations
16.
Xu, Xiangmin, et al.. (2019). Design and Evaluation of the Mental Relaxation VR Scenes Using Forehead EEG Features. 8518. 1–4. 10 indexed citations
17.
Xu, Tianyuan, et al.. (2019). Emotion Recognition Using Frontal EEG in VR Affective Scenes. 1–4. 26 indexed citations
18.
Liao, Dan, et al.. (2019). Design and Evaluation of Affective Virtual Reality System Based on Multimodal Physiological Signals and Self-Assessment Manikin. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 4(3). 216–224. 24 indexed citations
19.
Shu, Lin, Mingyue Yang, Ziyi Li, et al.. (2018). A Review of Emotion Recognition Using Physiological Signals. Sensors. 18(7). 2074–2074. 577 indexed citations breakdown →
20.
Zhang, Wenzhuo, Lin Shu, Xiangmin Xu, & Dan Liao. (2017). Affective Virtual Reality System (AVRS): Design and Ratings of Affective VR Scenes. 311–314. 24 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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Breakdown of academic impact, for papers by Giorgos Giannakakis Breakdown of academic impact, for papers by Christos A. Frantzidιs Breakdown of academic impact, for papers by Jonghwa Kim Breakdown of academic impact, for papers by Chi‐Hong Wang Breakdown of academic impact, for papers by Yuan‐Pin Lin Breakdown of academic impact, for papers by Pasin Israsena Breakdown of academic impact, for papers by Mojtaba Khomami Abadi Breakdown of academic impact, for papers by Setha Pan-ngum Breakdown of academic impact, for papers by James Mountstephens Breakdown of academic impact, for papers by Lanlan Chen
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2026