Yan Tong

3.5k total citations · 1 hit paper
84 papers, 1.9k citations indexed

About

Yan Tong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Yan Tong has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 16 papers in Experimental and Cognitive Psychology. Recurrent topics in Yan Tong's work include Face and Expression Recognition (20 papers), Face recognition and analysis (17 papers) and Emotion and Mood Recognition (15 papers). Yan Tong is often cited by papers focused on Face and Expression Recognition (20 papers), Face recognition and analysis (17 papers) and Emotion and Mood Recognition (15 papers). Yan Tong collaborates with scholars based in United States, China and United Kingdom. Yan Tong's co-authors include Zibo Meng, Ping Liu, Qiang Ji, Shizhong Han, Wenhui Liao, Jie Cai, Shizhong Han, Jixu Chen, Qiang Ji and Frederick W. Wheeler and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Yan Tong

76 papers receiving 1.8k citations

Hit Papers

Facial Expression Recognition via a Boosted Deep Belief N... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Tong United States 18 1.3k 1.0k 299 213 176 84 1.9k
Guee-Sang Lee South Korea 19 981 0.7× 403 0.4× 276 0.9× 194 0.9× 178 1.0× 185 1.6k
Edilson de Aguiar Germany 20 1.8k 1.4× 432 0.4× 163 0.5× 75 0.4× 137 0.8× 52 2.3k
Qiang Ji United States 16 606 0.5× 232 0.2× 281 0.9× 102 0.5× 349 2.0× 70 1.3k
Qirong Mao China 27 1.2k 0.9× 1.3k 1.3× 1.1k 3.5× 988 4.6× 121 0.7× 120 2.7k
Zahid Akhtar United States 23 952 0.7× 263 0.3× 424 1.4× 888 4.2× 79 0.4× 123 2.0k
Minghao Yang China 22 303 0.2× 324 0.3× 265 0.9× 148 0.7× 59 0.3× 118 1.5k
Di Wang Singapore 18 337 0.3× 434 0.4× 603 2.0× 113 0.5× 131 0.7× 86 1.5k
Paul Pu Liang United States 20 928 0.7× 1.1k 1.0× 2.7k 9.0× 597 2.8× 60 0.3× 48 3.5k
Peng Song China 22 547 0.4× 1.1k 1.0× 716 2.4× 472 2.2× 212 1.2× 108 2.4k

Countries citing papers authored by Yan Tong

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tong. A scholar is included among the top collaborators of Yan Tong 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 Yan Tong. Yan Tong 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
2.
Cotter, Elizabeth W., et al.. (2025). Reckoning with the past: a qualitative analysis of medical students describing their formative experiences with weight bias. Journal of Eating Disorders. 13(1). 50–50.
3.
Tang, Wenbin, et al.. (2025). Assembly Accuracy Analysis Method Based on Multi‐Stage Linearized Contact. Engineering Reports. 7(1).
4.
Li, Xiaojuan, et al.. (2024). In-situ key update and minimal key set of encrypted outsourced data under binary key-derivation tree. The Journal of Supercomputing. 81(1).
5.
Tong, Yan, et al.. (2024). Post-Quantum Anonymous, Traceable and Linkable Authentication Scheme Based on Blockchain for Intelligent Vehicular Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 25(9). 12108–12119. 10 indexed citations
6.
Liu, Wenju, et al.. (2024). Controlled synthesis of Bi2S3/g-C3N4 nanosheets for efficient degradation of rhodamine B and reduction of Cr (VI) under visible light. Surfaces and Interfaces. 52. 104885–104885. 7 indexed citations
7.
Li, Hong, et al.. (2022). Expression of chitinase-3-like protein 1 in different TCM syndromes and its correlation with liver fibrosis. Annals of Palliative Medicine. 11(1). 217–224. 2 indexed citations
8.
Li, Guozhi, et al.. (2022). An energy fault and consumption optimization strategy in wireless sensor networks with edge computing. Journal of King Saud University - Computer and Information Sciences. 35(1). 357–367. 3 indexed citations
9.
Khan, Ahmed Shehab, Zhiyuan Li, Jie Cai, & Yan Tong. (2021). Regional Attention Networks with Context-aware Fusion for Group Emotion Recognition. 1149–1158. 14 indexed citations
10.
Liang, Jing, et al.. (2020). Path Planning of Mobile Robot Based on Improved Differential Evolution Algorithm. 811–816. 7 indexed citations
11.
Wu, Jianming, Longgen Liu, Chunyan Ye, et al.. (2019). [Relationship between liver controlled attenuation parameters and body fat mass and its distribution].. PubMed. 27(10). 754–759. 1 indexed citations
12.
Li, Zhiyuan, Shizhong Han, Ahmed Shehab Khan, et al.. (2019). Pooling Map Adaptation in Convolutional Neural Network for Facial Expression Recognition. 1108–1113. 17 indexed citations
13.
Li, Xuesong, et al.. (2019). Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory. Neurocomputing. 398. 338–346. 7 indexed citations
14.
Li, Xuesong, Xiaodong Ma, Zhe Zhang, et al.. (2017). Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. NeuroImage. 164. 172–182. 4 indexed citations
15.
Han, Shizhong, et al.. (2016). Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition. Neural Information Processing Systems. 29. 109–117. 40 indexed citations
16.
Jones, Jace W., Gregory Tudor, Fei Li, et al.. (2015). Citrulline as a Biomarker in the Murine Total-Body Irradiation Model. Health Physics. 109(5). 452–465. 41 indexed citations
17.
Tong, Yan, Jixu Chen, & Qiang Ji. (2008). A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 258–273. 108 indexed citations
18.
Tong, Yan, Wenhui Liao, & Qiang Ji. (2007). Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(10). 1683–1699. 270 indexed citations
19.
Li, Ying, et al.. (2007). An Improved Particle Swarm Optimization for SVM Training. 611–615. 11 indexed citations
20.
Tong, Yan, Wenhui Liao, & Qiang Ji. (2006). Inferring Facial Action Units with Causal Relations. 2. 1623–1630. 23 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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