Shan An

1.3k total citations
59 papers, 832 citations indexed

About

Shan An is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shan An has authored 59 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shan An's work include Advanced Image and Video Retrieval Techniques (11 papers), Video Surveillance and Tracking Methods (9 papers) and Multimodal Machine Learning Applications (8 papers). Shan An is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Video Surveillance and Tracking Methods (9 papers) and Multimodal Machine Learning Applications (8 papers). Shan An collaborates with scholars based in China, Greece and United States. Shan An's co-authors include Shuang Bai, Changhong Fu, Junjie Ye, Haogang Zhu, Konstantinos A. Tsintotas, Chang Tang, Αντώνιος Γαστεράτος, Xianglong Liu, Fangqiang Ding and Fuling Lin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Shan An

53 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan An China 16 516 208 159 59 52 59 832
Jianwei Zhang China 15 303 0.6× 113 0.5× 98 0.6× 37 0.6× 73 1.4× 76 803
Chen Lin China 16 295 0.6× 433 2.1× 68 0.4× 131 2.2× 77 1.5× 44 1.1k
Jaume Amores Spain 14 647 1.3× 291 1.4× 60 0.4× 89 1.5× 46 0.9× 23 992
Zhe Zhu China 15 922 1.8× 349 1.7× 87 0.5× 59 1.0× 76 1.5× 38 1.5k
Ziliang Chen China 10 484 0.9× 485 2.3× 55 0.3× 42 0.7× 23 0.4× 36 842
Yu Qiao China 15 233 0.5× 134 0.6× 47 0.3× 45 0.8× 112 2.2× 56 827
Hao Zou China 14 342 0.7× 222 1.1× 85 0.5× 47 0.8× 25 0.5× 37 765
Siyu Xia China 14 603 1.2× 161 0.8× 56 0.4× 43 0.7× 36 0.7× 85 899
Nidhal Bouaynaya United States 16 282 0.5× 235 1.1× 69 0.4× 108 1.8× 81 1.6× 102 839

Countries citing papers authored by Shan An

Since Specialization
Citations

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

Fields of papers citing papers by Shan An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan An

This figure shows the co-authorship network connecting the top 25 collaborators of Shan An. A scholar is included among the top collaborators of Shan An 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 Shan An. Shan An 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.
Qin, Qing, Zi-Wei Lin, Guangyuan Gao, et al.. (2025). MBE-UNet: Multi-Branch Boundary Enhanced U-Net for Ultrasound Segmentation. IEEE Journal of Biomedical and Health Informatics. 30(1). 575–585. 1 indexed citations
2.
3.
Su, Jingyu, et al.. (2025). Transformer-Based Multiscale 3-D Convolutional Network for Motor Imagery Classification. IEEE Sensors Journal. 25(5). 8621–8630. 1 indexed citations
4.
An, Shan, et al.. (2025). SCORE-DETR: An efficient Transformer-based network for small and occluded citrus detection. Computers and Electronics in Agriculture. 238. 110843–110843.
5.
Fan, Fengmei, Shan An, Chengqi Zhang, et al.. (2025). CS2former: Multimodal feature fusion transformer with dual channel-spatial feature extraction module for bipolar disorder diagnosis. Computerized Medical Imaging and Graphics. 125. 102632–102632.
6.
Jin, Xiaobo, et al.. (2025). Fine-grained recognition of citrus varieties via wavelet channel attention network. Knowledge-Based Systems. 311. 113128–113128.
7.
Huang, Junjie, et al.. (2025). Multi-View Clustering via Multi-Stage Fusion. IEEE Transactions on Multimedia. 27. 4571–4583. 5 indexed citations
8.
Fan, Fengmei, Shan An, Qi Wang, et al.. (2024). Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis. Computerized Medical Imaging and Graphics. 114. 102368–102368. 4 indexed citations
9.
Zhang, Chenlong, Shan An, Kaize Shi, et al.. (2024). FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification. Journal of Neural Engineering. 21(3). 36011–36011. 1 indexed citations
10.
Li, Wenjie, Xinlin Sun, Huicong Kang, et al.. (2024). Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition. Journal of Neural Engineering. 21(2). 26038–26038. 10 indexed citations
11.
12.
Chen, Fuhai, et al.. (2024). 3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting. Information Processing & Management. 61(4). 103716–103716. 11 indexed citations
13.
Guo, Yuchen, et al.. (2024). Robust deep learning from incomplete annotation for accurate lung nodule detection. Computers in Biology and Medicine. 173. 108361–108361. 4 indexed citations
14.
Tang, Chang, et al.. (2024). Heterogeneous Graph Guided Contrastive Learning for Spatially Resolved Transcriptomics Data. 8287–8295. 2 indexed citations
15.
Ye, Junjie, Changhong Fu, Ziang Cao, et al.. (2022). Tracker Meets Night: A Transformer Enhancer for UAV Tracking. IEEE Robotics and Automation Letters. 7(2). 3866–3873. 52 indexed citations
16.
An, Shan, Haogang Zhu, Jiaao Zhang, et al.. (2022). Deep Tri-Training for Semi-Supervised Image Segmentation. IEEE Robotics and Automation Letters. 7(4). 10097–10104. 5 indexed citations
17.
Gao, Hongxiang, Min Wu, Zhenghua Chen, et al.. (2022). SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition. Neural Networks. 158. 228–238. 25 indexed citations
18.
Ye, Junjie, Changhong Fu, Fuling Lin, et al.. (2021). Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization. IEEE Transactions on Industrial Electronics. 69(6). 6004–6014. 67 indexed citations
19.
An, Shan, Haogang Zhu, Yang Xu, et al.. (2021). A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography. Computerized Medical Imaging and Graphics. 93. 101983–101983. 19 indexed citations
20.
Ma, Yuqing, Shan An, Wei Liu, et al.. (2020). Transductive Relation-Propagation Network for Few-shot Learning. 804–810. 42 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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