Lin Shu

3.9k total citations · 2 hit papers
32 papers, 3.3k citations indexed

About

Lin Shu is a scholar working on Biomedical Engineering, Polymers and Plastics and Cognitive Neuroscience. According to data from OpenAlex, Lin Shu has authored 32 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 8 papers in Polymers and Plastics and 7 papers in Cognitive Neuroscience. Recurrent topics in Lin Shu's work include Advanced Sensor and Energy Harvesting Materials (16 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Conducting polymers and applications (5 papers). Lin Shu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (16 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Conducting polymers and applications (5 papers). Lin Shu collaborates with scholars based in China, Hong Kong and United States. Lin Shu's co-authors include Xiaoming Tao, Fei Wang, Song Chen, Wei Zeng, Qiao Li, Su Liu, Dagan Feng, Bao Yang, Yangyong Wang and Jiewei Chen and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Carbon.

In The Last Decade

Lin Shu

26 papers receiving 3.2k citations

Hit Papers

Fiber‐Based Wearable Electronics: A Review of Materials, ... 2014 2026 2018 2022 2014 2019 500 1000 1.5k
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. Fiber‐Based Wearable Electronics: A Review of Materials, Fabrication, Devices, and Applications
    2014 1.8k citations Lin Shu, Fei Wang et al. profile →
  2. Smart Textile‐Integrated Microelectronic Systems for Wearable Applications
    2019 635 citations Lisha Zhang, Bao Yang et al. 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 14 2.4k 1.3k 1.0k 560 544 32 3.3k
Tao Hua Hong Kong 36 1.8k 0.8× 1.5k 1.2× 1.3k 1.2× 278 0.5× 746 1.4× 123 4.1k
Binu B. Narakathu United States 37 2.9k 1.2× 702 0.5× 2.0k 2.0× 612 1.1× 234 0.4× 134 3.8k
Sudeep Sharma South Korea 27 3.2k 1.3× 1.6k 1.2× 1.2k 1.1× 692 1.2× 611 1.1× 52 3.8k
Massood Z. Atashbar United States 42 3.9k 1.6× 1.1k 0.8× 3.2k 3.0× 686 1.2× 391 0.7× 248 5.7k
Juan Tao China 27 2.0k 0.8× 924 0.7× 872 0.8× 666 1.2× 215 0.4× 33 2.5k
Rongrong Bao China 28 3.1k 1.2× 1.3k 1.0× 1.6k 1.5× 1.2k 2.2× 494 0.9× 57 3.8k
Jihun Park South Korea 22 2.7k 1.1× 809 0.6× 1.8k 1.7× 408 0.7× 263 0.5× 44 3.9k
Samyuktha Challa United States 5 4.4k 1.8× 1.6k 1.2× 2.2k 2.1× 894 1.6× 211 0.4× 7 5.4k
Young Bum Lee South Korea 17 2.4k 1.0× 979 0.8× 1.3k 1.2× 547 1.0× 252 0.5× 47 3.5k

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.
Zhang, Lei, Zhen Ling, Changyu Dong, et al.. (2025). Toward Cross-Environment Continuous Gesture User Authentication With Commercial Wi-Fi. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33(4). 1900–1915.
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Zhu, Congcong, et al.. (2025). Facile electrospray nanowelding process for high-performance and tailored silver nanowire networks. Applied Surface Science. 689. 162465–162465.
4.
Zhang, Lei, Yunzhe Jiang, Shiwen Mao, et al.. (2024). Toward Robust and Effective Behavior Based User Authentication With Off-the-Shelf Wi-Fi. IEEE Transactions on Information Forensics and Security. 19. 8731–8746. 2 indexed citations
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Xiong, Qihua, et al.. (2024). Scalp surface Laplacian potential monitoring system based on novel hydrogel active tri-polar concentric ring electrodes. Sensors and Actuators A Physical. 379. 116003–116003.
8.
Zhou, Yuzhao, et al.. (2023). A dual-task-embedded virtual reality system for intelligent quantitative assessment of cognitive processing speed. Frontiers in Human Neuroscience. 17. 1158650–1158650. 2 indexed citations
9.
Wu, Shibin, et al.. (2023). SFDA: Domain Adaptation With Source Subject Fusion Based on Multi-Source and Single-Target Fall Risk Assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4907–4920. 4 indexed citations
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Chen, Xiaobin, et al.. (2023). Adaptive readout approaches of resistive sensor array for wearable electronics applications. Measurement. 221. 113524–113524. 1 indexed citations
12.
Wang, Fei, Bo Zhu, Lin Shu, et al.. (2022). Smart Clothing with Built‐In Soft Sensing Network for Measuring Temporal and Spatial Distribution of Pressure under Impact Scenarios. SHILAP Revista de lepidopterología. 2(2). 2 indexed citations
13.
Tao, Xiaoming, Su Liu, Bao Yang, et al.. (2021). Recent advances, scientific issues, key technologies and perspective of textile electronics. Chinese Science Bulletin (Chinese Version). 66(24). 3071–3087. 4 indexed citations
14.
Chen, Qing, et al.. (2021). Electrical Resistance of Stainless Steel/Polyester Blended Knitted Fabrics for Application to Measure Sweat Quantity. Polymers. 13(7). 1015–1015. 9 indexed citations
15.
Shu, Lin, Tianyuan Xu, & Xiangmin Xu. (2019). Multilayer Sweat-Absorbable Textile Electrode for EEG Measurement in Forehead Site. IEEE Sensors Journal. 19(15). 5995–6005. 51 indexed citations
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Xu, Xiangmin, et al.. (2017). Estimation of valence of emotion using two frontal EEG channels. Lanzhou University Institutional Repository. 1127–1130. 54 indexed citations
18.
Wang, Xi, Xiaoming Tao, Raymond So, et al.. (2016). Monitoring elbow isometric contraction by novel wearable fabric sensing device. Smart Materials and Structures. 25(12). 125022–125022. 29 indexed citations
19.
Shu, Lin, Xiaoming Tao, & Dagan Feng. (2014). A New Approach for Readout of Resistive Sensor Arrays for Wearable Electronic Applications. IEEE Sensors Journal. 15(1). 442–452. 72 indexed citations
20.
Shu, Lin, Tao Hua, Yangyong Wang, et al.. (2010). In-Shoe Plantar Pressure Measurement and Analysis System Based on Fabric Pressure Sensing Array. IEEE Transactions on Information Technology in Biomedicine. 14(3). 767–775. 317 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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