Yan Gan

639 total citations · 1 hit paper
47 papers, 437 citations indexed

About

Yan Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yan Gan has authored 47 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 4 papers in Sociology and Political Science. Recurrent topics in Yan Gan's work include Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Image Processing Techniques (10 papers) and Digital Media Forensic Detection (8 papers). Yan Gan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Image Processing Techniques (10 papers) and Digital Media Forensic Detection (8 papers). Yan Gan collaborates with scholars based in China, Germany and United Kingdom. Yan Gan's co-authors include Mao Ye, Yusheng Huang, Zheng Zhang, Tao Li, Lin Xiong, Guanhua Zhang, Yongqing Fu, Yangmei Luo, Yi Liu and Jian Zhou and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Expert Systems with Applications.

In The Last Decade

Yan Gan

37 papers receiving 427 citations

Hit Papers

A chain mediation model of physical exercise and BrainRot... 2025 2026 2025 4 8 12
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 chain mediation model of physical exercise and BrainRot behavior among adolescents
    2025 13 citations Yan Gan 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
Yan Gan China 11 188 115 87 71 48 47 437
Yuxiang Huan China 12 99 0.5× 131 1.1× 76 0.9× 221 3.1× 58 1.2× 44 588
Md. Saiful Islam Bangladesh 14 217 1.2× 191 1.7× 28 0.3× 174 2.5× 9 0.2× 72 700
Lei Su China 11 48 0.3× 107 0.9× 96 1.1× 181 2.5× 7 0.1× 77 530
Yujia Zhang China 12 167 0.9× 92 0.8× 50 0.6× 199 2.8× 7 0.1× 72 564
Huanxi Liu China 6 150 0.8× 61 0.5× 48 0.6× 26 0.4× 8 0.2× 20 323
Abdul Rahaman Wahab Sait Saudi Arabia 12 143 0.8× 123 1.1× 42 0.5× 23 0.3× 6 0.1× 65 601
Shuai Zhou China 11 90 0.5× 124 1.1× 66 0.8× 78 1.1× 5 0.1× 31 415
Salahuddin M. Kamal Saudi Arabia 8 36 0.2× 143 1.2× 38 0.4× 42 0.6× 18 0.4× 11 503

Countries citing papers authored by Yan Gan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Gan. A scholar is included among the top collaborators of Yan Gan 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 Gan. Yan Gan 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.
Liu, Ying, et al.. (2026). Parental marital conflict and adolescent anxiety: The moderating roles of physical activity and gender. Psychology and Psychotherapy Theory Research and Practice. 1 indexed citations
2.
Jian, Yue, et al.. (2025). ODE-based generative modeling: Learning from a single natural image. Expert Systems with Applications. 276. 127185–127185.
3.
Bai, Tiecheng, Guoming Tang, Deke Guo, et al.. (2025). Quantifying Privacy Risks of Behavioral Semantics in Mobile Communication Services. IEEE Transactions on Information Forensics and Security. 20. 1908–1923.
4.
Gan, Yan, et al.. (2025). SFCM-AEG: Source-Free Cross-Modal Adversarial Example Generation. IEEE Transactions on Multimedia. 27. 6262–6272.
5.
6.
Li, Guoxing, Yan Gan, Wei Zhang, & Hangjun Che. (2025). GS-YOLO: A lightweight and high-performance method for PCB surface defect detection. Expert Systems with Applications. 303. 130583–130583. 1 indexed citations
7.
Tan, Yujuan, Yan Gan, Zhaoyang Zeng, et al.. (2025). GNNBoost: Accelerating sampling-based GNN training on large scale graph by optimizing data preparation. Journal of Systems Architecture. 167. 103456–103456.
8.
Liu, Dan, Fanrong Meng, Qing Xia, et al.. (2024). Temporal cues enhanced multimodal learning for action recognition in RGB-D videos. Neurocomputing. 594. 127882–127882. 10 indexed citations
9.
Gan, Yan, et al.. (2024). SPGAN: Siamese projection Generative Adversarial Networks. Knowledge-Based Systems. 285. 111353–111353. 8 indexed citations
10.
Liu, Wei, Mao Ye, Luping Ji, et al.. (2024). Multi-Level Alignments for Compressed Video Super-Resolution. IEEE Transactions on Consumer Electronics. 70(3). 5101–5114. 1 indexed citations
11.
Guo, Shangwei, et al.. (2024). Robust and privacy-preserving collaborative training: a comprehensive survey. Artificial Intelligence Review. 57(7).
12.
Ye, Mao, et al.. (2024). Illumination Distribution-Aware Thermal Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18688–18700. 2 indexed citations
13.
Gan, Yan, et al.. (2024). Generative Adversarial Networks with Learnable Auxiliary Module for Image Synthesis. ACM Transactions on Multimedia Computing Communications and Applications. 21(4). 1–21. 8 indexed citations
14.
Gan, Yan, et al.. (2024). LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3368–3382. 3 indexed citations
15.
Liu, Dan, et al.. (2023). Cross-domain video action recognition via adaptive gradual learning. Neurocomputing. 556. 126622–126622. 6 indexed citations
16.
Gan, Yan, Mao Ye, Dan Liu, & Yiguang Liu. (2023). Training generative adversarial networks by auxiliary adversarial example regulator. Applied Soft Computing. 136. 110086–110086. 3 indexed citations
17.
Tang, Guoming, et al.. (2023). DSG-BTra: Differentially Semantic-Generalized Behavioral Trajectory for Privacy-Preserving Mobile Internet Services. IEEE Internet of Things Journal. 11(7). 13029–13038. 3 indexed citations
18.
Tang, Guoming, et al.. (2023). Behavioral-Semantic Privacy Protection for Continual Social Mobility in Mobile-Internet Services. IEEE Internet of Things Journal. 11(1). 462–477. 12 indexed citations
19.
Gan, Yan. (2012). Analysis of the method on industrial design guided by individual spontaneous behavior. Lanzhou University Institutional Repository.
20.
Gan, Yan. (2009). Design of Ethernet Communication System based on W5100.

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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