Yingzi Lin

4.5k total citations · 1 hit paper
128 papers, 3.4k citations indexed

About

Yingzi Lin is a scholar working on Social Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Yingzi Lin has authored 128 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Social Psychology, 31 papers in Cognitive Neuroscience and 25 papers in Experimental and Cognitive Psychology. Recurrent topics in Yingzi Lin's work include Human-Automation Interaction and Safety (31 papers), EEG and Brain-Computer Interfaces (22 papers) and Gaze Tracking and Assistive Technology (16 papers). Yingzi Lin is often cited by papers focused on Human-Automation Interaction and Safety (31 papers), EEG and Brain-Computer Interfaces (22 papers) and Gaze Tracking and Assistive Technology (16 papers). Yingzi Lin collaborates with scholars based in United States, China and Canada. Yingzi Lin's co-authors include Wenjun Zhang, Long Cheng, Zeng‐Guang Hou, Guosheng Yang, Xifan Yao, Prabir Bhattacharya, Hua Cai, Jiajun Zhou, Min Tan and Min Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Automatica.

In The Last Decade

Yingzi Lin

121 papers receiving 3.3k citations

Hit Papers

Neural-Network-Based Adaptive Leader-Following Control fo... 2010 2026 2015 2020 2010 50 100 150 200 250
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. Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties
    2010 295 citations Long Cheng, Zeng‐Guang Hou et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingzi Lin United States 29 642 533 523 501 476 128 3.4k
Naoyuki Kubota Japan 23 1.1k 1.7× 273 0.5× 544 1.0× 119 0.2× 200 0.4× 492 3.2k
Yang Xing Singapore 39 1.4k 2.3× 179 0.3× 714 1.4× 171 0.3× 260 0.5× 116 5.1k
Antonio Fernández‐Caballero Spain 31 215 0.3× 253 0.5× 289 0.6× 183 0.4× 607 1.3× 233 3.7k
Weihua Sheng United States 35 759 1.2× 1.2k 2.3× 269 0.5× 277 0.6× 116 0.2× 249 4.4k
Jim Tørresen Norway 26 155 0.2× 432 0.8× 197 0.4× 184 0.4× 362 0.8× 211 2.7k
Shervin Shirmohammadi Canada 36 292 0.5× 1.3k 2.5× 204 0.4× 176 0.4× 405 0.9× 368 5.3k
Sukhan Lee South Korea 28 788 1.2× 140 0.3× 167 0.3× 386 0.8× 139 0.3× 258 3.8k
Philip Moore United Kingdom 27 317 0.5× 203 0.4× 84 0.2× 506 1.0× 282 0.6× 170 2.7k
Lorenzo Sabattini Italy 25 688 1.1× 1.1k 2.1× 232 0.4× 522 1.0× 46 0.1× 156 2.7k
Rytis Maskeliūnas Lithuania 40 235 0.4× 296 0.6× 120 0.2× 195 0.4× 168 0.4× 214 5.4k

Countries citing papers authored by Yingzi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yingzi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingzi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yingzi Lin. A scholar is included among the top collaborators of Yingzi Lin 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 Yingzi Lin. Yingzi Lin 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
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Lin, Yingzi, et al.. (2025). Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing. Sensors. 25(7). 2086–2086. 1 indexed citations
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Lin, Yingzi, et al.. (2024). LightMOT: Lightweight and anchor-free solution for tracking multiple objects in dense populations. Future Generation Computer Systems. 166. 107690–107690.
6.
Xiao, Yan, et al.. (2024). A Systematic Review and Meta-Analysis of Older Adults’ Cognitive Impairments and Effects on Road Safety. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 68(1). 1279–1286. 1 indexed citations
7.
Lin, Yingzi, et al.. (2024). Using Physiological Signals for Pain Assessment: An Evaluation of Deep Learning Models. 1–6. 1 indexed citations
8.
Wang, Chao, et al.. (2023). Air quality in the car: How CO2 and body odor affect drivers' cognition and driving performance?. The Science of The Total Environment. 911. 168785–168785. 3 indexed citations
9.
Zhang, Huanlong, et al.. (2023). Adaptive distractor-aware for siamese tracking via enhancement confidence evaluator. Applied Intelligence. 53(23). 29223–29241. 4 indexed citations
10.
Xiao, Yan, et al.. (2023). COMPASS App: A Patient-centered Physiological based Pain Assessment System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1361–1367. 6 indexed citations
11.
Zhang, Huanlong, et al.. (2023). Attention-Driven Memory Network for Online Visual Tracking. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17085–17098. 13 indexed citations
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Lin, Yingzi, Yan Xiao, Li Wang, et al.. (2022). Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals. Frontiers in Neuroscience. 16. 831627–831627. 17 indexed citations
14.
Xiao, Yan, et al.. (2021). A Personalized Spatial-Temporal Cold Pain Intensity Estimation Model Based on Facial Expression. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–8. 12 indexed citations
15.
Guo, Baoqing, et al.. (2018). Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views. Journal of Advanced Transportation. 2018. 1–16. 7 indexed citations
16.
Lin, Yingzi. (2017). Toward Intelligent Human Machine Interactions. Mechanical Engineering. 139(6). S4–S8. 6 indexed citations
17.
Hu, Xinglong, et al.. (2015). Modeling and control of piezoelectric inertia–friction actuators: review and future research directions. Mechanical sciences. 6(2). 95–107. 65 indexed citations
18.
Cheng, Long, Zeng‐Guang Hou, Min Tan, Yingzi Lin, & Wenjun Zhang. (2010). Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties. IEEE Transactions on Neural Networks. 21(8). 1351–1358. 295 indexed citations breakdown →
19.
Cai, Hua & Yingzi Lin. (2010). Tuning Trust Using Cognitive Cues for Better Human-Machine Collaboration. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 54(28). 2437–2441. 13 indexed citations
20.
Yang, Gongping, Yingzi Lin, & Paritosh Bhattacharya. (2007). Multimodality Inferring of Human Cognitive States Based on Integration of Neuro-Fuzzy Network and Information Fusion Techniques. EURASIP Journal on Advances in Signal Processing. 2008(1). 18 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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