Changan Yuan

2.6k total citations
102 papers, 1.6k citations indexed

About

Changan Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Changan Yuan has authored 102 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 15 papers in Molecular Biology. Recurrent topics in Changan Yuan's work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Data Management and Algorithms (7 papers). Changan Yuan is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Data Management and Algorithms (7 papers). Changan Yuan collaborates with scholars based in China, United States and New Zealand. Changan Yuan's co-authors include Xiaofeng Zhu, De-Shuang Huang, Brendan Malone, Xiao Qin, Shaojie Qiao, Di Wu, Yonghua Zhu, Junbo Ma, Faliang Huang and Shichao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Changan Yuan

92 papers receiving 1.5k citations

Peers

Changan Yuan

CVPR

Muhammad Usman Ghani Khan Pakistan

Mohammad Ali Balafar Iran

Byoung‐Tak Zhang South Korea

Diyar Qader Zeebaree Iraq

Jun Feng China

Ankush Mittal India

Jiejun Xu United States

Zhaopeng Meng China

Zhongshi He China

Abdel-Badeeh M. Salem Egypt

Muhammad Usman Ghani Khan Pakistan

Changan Yuan

781 ×1.2

592 ×1.1

CVPR

136 ×0.7

175 ×1.3

93 ×0.8

Citations per year, relative to Changan Yuan Changan Yuan (= 1×) peers Muhammad Usman Ghani Khan

Countries citing papers authored by Changan Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Changan Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changan Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Changan Yuan. A scholar is included among the top collaborators of Changan Yuan 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 Changan Yuan. Changan Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Linli, et al.. (2025). MSDUNet: A Model Based on Feature Multi-Scale and Dual-Input Dynamic Enhancement for Skin Lesion Segmentation. IEEE Transactions on Medical Imaging. 44(7). 2819–2830. 2 indexed citations

Yuan, Changan, et al.. (2025). Variational Graph Neural Network Based on Normalizing Flows. IEEE Transactions on Signal and Information Processing over Networks. 11. 177–186.

Liu, Wenjian, Xuesong Wang, Di Wu, et al.. (2024). Beyond singular prototype: A prototype splitting strategy for few-shot medical image segmentation. Neurocomputing. 597. 127990–127990. 2 indexed citations

Huang, De-Shuang, Prashan Premaratne, & Changan Yuan. (2024). Applied Intelligence. Communications in computer and information science. 1 indexed citations

Wong, Leon, et al.. (2023). GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm. BMC Bioinformatics. 24(1). 188–188. 39 indexed citations

Qin, Xiao, Changan Yuan, Jianhui Jiang, & Long Chen. (2023). Deep semi-supervised clustering based on pairwise constraints and sample similarity. Pattern Recognition Letters. 178. 1–6. 3 indexed citations

Wu, Yong, Qinhu Zhang, Changan Yuan, et al.. (2023). Hierarchical Multiview Top-k Pooling With Deep-Q-Networks. IEEE Transactions on Artificial Intelligence. 5(6). 2985–2996. 2 indexed citations

Mo, Yujie, Yajie Lei, Liang Peng, et al.. (2023). Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12814–12827. 49 indexed citations

Zhang, Qinhu, Siguo Wang, Ying He, et al.. (2022). Computational prediction and characterization of cell-type-specific and shared binding sites. Bioinformatics. 39(1). 9 indexed citations

10.

Li, Zhengwei, et al.. (2022). Predicting MiRNA-Disease Associations by Graph Representation Learning Based on Jumping Knowledge Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 2629–2638. 3 indexed citations

11.

Huang, Zhenfeng, et al.. (2021). Survey on vehicle map matching techniques. CAAI Transactions on Intelligence Technology. 6(1). 55–71. 30 indexed citations

12.

Qiao, Shaojie, Nan Han, Faliang Huang, et al.. (2021). LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. Applied Intelligence. 52(7). 7870–7889. 7 indexed citations

13.

Huang, Faliang, Xuelong Li, Changan Yuan, et al.. (2021). Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4332–4345. 151 indexed citations

14.

Qin, Xiao, et al.. (2020). Arbitrary Shape Natural Scene Text Detection Method Based on Soft Attention Mechanism and Dilated Convolution. IEEE Access. 8. 122685–122694. 8 indexed citations

15.

Chen, Liang, et al.. (2020). Friendship prediction model based on factor graphs integrating geographical location. CAAI Transactions on Intelligence Technology. 5(3). 193–199. 10 indexed citations

16.

Qiao, Shaojie, et al.. (2020). A novel handover detection model via frequent trajectory patterns mining. International Journal of Machine Learning and Cybernetics. 11(12). 2587–2606. 3 indexed citations

17.

Qiao, Shaojie, Nan Han, Kun Yue, et al.. (2020). Algorithm for detecting anomalous hosts based on group activity evolution. Knowledge-Based Systems. 214. 106734–106734. 3 indexed citations

18.

Qiao, Shaojie, et al.. (2020). SOTB: Semi-Supervised Oversampling Approach Based on Trigonal Barycenter Theory. IEEE Access. 8. 50180–50189. 4 indexed citations

19.

Yuan, Changan, Yong Wu, Xiao Qin, et al.. (2019). An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques. Applied Intelligence. 49(10). 3570–3586. 23 indexed citations

20.

Pan, Ying, et al.. (2016). Access Control Method for Supporting Update Operations in Dataspace. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 38(8). 1935–1941. 2 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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