Chuan Zhou

581 total citations
56 papers, 400 citations indexed

About

Chuan Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chuan Zhou has authored 56 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Artificial Intelligence and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chuan Zhou's work include Retinal Imaging and Analysis (14 papers), AI in cancer detection (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Chuan Zhou is often cited by papers focused on Retinal Imaging and Analysis (14 papers), AI in cancer detection (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Chuan Zhou collaborates with scholars based in China, United States and United Kingdom. Chuan Zhou's co-authors include Leiting Chen, Yang Wen, Yu Deng, Jin Ning, Lubomir M. Hadjiiski, Heang‐Ping Chan, Xueyin Lin, Berkman Sahiner, Lei Zhang and Xiaotong Hou and has published in prestigious journals such as PEDIATRICS, Annals of Oncology and Medical Physics.

In The Last Decade

Chuan Zhou

56 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuan Zhou China 11 183 146 126 67 45 56 400
Jiancong Wang United States 12 175 1.0× 97 0.7× 157 1.2× 23 0.3× 25 0.6× 24 414
Fan Zhu China 9 163 0.9× 113 0.8× 107 0.8× 13 0.2× 59 1.3× 20 536
Majid Harouni Iran 10 211 1.2× 100 0.7× 174 1.4× 75 1.1× 13 0.3× 22 553
Christian Leibig Germany 7 206 1.1× 270 1.8× 44 0.3× 33 0.5× 23 0.5× 10 483
Audrey H. Zhuang United States 6 197 1.1× 46 0.3× 212 1.7× 94 1.4× 10 0.2× 8 443
Mahsa Shakeri Iran 9 134 0.7× 80 0.5× 164 1.3× 31 0.5× 8 0.2× 20 365
Alican Bozkurt United States 12 189 1.0× 89 0.6× 53 0.4× 67 1.0× 83 1.8× 24 384
Nagesh K. Subbanna Canada 10 119 0.7× 87 0.6× 219 1.7× 24 0.4× 9 0.2× 17 449
Jie-Zhi Cheng Taiwan 6 393 2.1× 325 2.2× 148 1.2× 115 1.7× 8 0.2× 6 620
Dzhoshkun I. Shakir United Kingdom 9 221 1.2× 131 0.9× 160 1.3× 50 0.7× 5 0.1× 22 532

Countries citing papers authored by Chuan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Zhou. A scholar is included among the top collaborators of Chuan Zhou 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 Chuan Zhou. Chuan Zhou 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.
Chen, Leiting, et al.. (2025). Uncertainty-Aware Contrastive Learning for deep clustering. Neurocomputing. 647. 130568–130568. 1 indexed citations
2.
Huang, Yonghao, Leiting Chen, Chuan Zhou, et al.. (2023). Model long-range dependencies for multi-modality and multi-view retinopathy diagnosis through transformers. Knowledge-Based Systems. 271. 110544–110544. 3 indexed citations
3.
Zhang, Sheng, et al.. (2023). Visual prior-based cross-modal alignment network for radiology report generation. Computers in Biology and Medicine. 166. 107522–107522. 7 indexed citations
4.
Wen, Yang, Chuan Zhou, Leiting Chen, et al.. (2023). Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning. Frontiers in Psychiatry. 13. 1075564–1075564. 4 indexed citations
5.
Chen, Leiting, et al.. (2022). Pre-MocoDiagnosis: Few-Shot Ophthalmic Diseases Recognition using Contrastive Learning. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2059–2066. 2 indexed citations
6.
Zhang, Lei, Leiting Chen, Weihua Ou, & Chuan Zhou. (2022). Semi-supervised cross-modal retrieval with graph-based semantic alignment network. Computers & Electrical Engineering. 102. 108218–108218. 2 indexed citations
7.
Wang, Yifan, Chuan Zhou, Heang‐Ping Chan, et al.. (2022). Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images. Medical Physics. 49(11). 7287–7302. 13 indexed citations
8.
Zhou, Chuan, et al.. (2022). Domain Adaptation for Medical Image Classification without Source Data. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2224–2230. 4 indexed citations
9.
Wang, Yifan, Chuan Zhou, Heang‐Ping Chan, Lubomir M. Hadjiiski, & Aamer Chughtai. (2022). Fusion of multiple deep convolutional neural networks (DCNNs) for improved segmentation of lung nodules in CT images. 11314. 105–105. 2 indexed citations
10.
Wen, Yang, Leiting Chen, Lifeng Qiao, et al.. (2022). FLeak-Seg: Automated Fundus Fluorescein Leakage Segmentation via Cross-Modal Attention Learning. IEEE Multimedia. 29(2). 114–123. 4 indexed citations
11.
Wu, Zhong & Chuan Zhou. (2021). Intelligent construction of smart stadiums and strategies for promoting the development of national fitness. Journal of Intelligent & Fuzzy Systems. 1–7. 3 indexed citations
12.
Wen, Yang, Leiting Chen, Yu Deng, Jin Ning, & Chuan Zhou. (2021). Towards better semantic consistency of 2D medical image segmentation. Journal of Visual Communication and Image Representation. 80. 103311–103311. 5 indexed citations
13.
Zhou, Chuan, et al.. (2020). Enhancing Tiny Tissues Segmentation via Self-Distillation. 934–940. 2 indexed citations
14.
Wen, Yang, Leiting Chen, Lifeng Qiao, Yu Deng, & Chuan Zhou. (2020). On the Deep Learning-based Age Prediction of Color Fundus Images and Correlation with Ophthalmic Diseases. 1171–1175. 3 indexed citations
15.
Samala, Ravi K., Heang‐Ping Chan, Lubomir M. Hadjiiski, et al.. (2019). Analysis of deep convolutional features for detection of lung nodules in computed tomography. 25–25. 3 indexed citations
16.
Ning, Jin, Leiting Chen, Chuan Zhou, & Yang Wen. (2018). Parameter k search strategy in outlier detection. Pattern Recognition Letters. 112. 56–62. 27 indexed citations
17.
Lin, Jiapeng, Liqin Wang, Bo Chen, et al.. (2011). Derivation and characterization of ovine embryonic stem‐like cell lines in semi‐defined medium without feeder cells. Journal of Experimental Zoology Part A Ecological Genetics and Physiology. 315A(10). 639–648. 17 indexed citations
18.
Hadjiiski, Lubomir M., Ted W. Way, Berkman Sahiner, et al.. (2007). Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 651411–651411. 6 indexed citations
19.
Wei, Jun, Berkman Sahiner, Lubomir M. Hadjiiski, et al.. (2005). Computer-aided detection of breast masses on mammograms: performance improvement using a dual system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5747. 9–9. 1 indexed citations
20.
Hadjiiski, Lubomir M., Heang‐Ping Chan, Berkman Sahiner, et al.. (2000). <title>Interval change analysis in temporal pairs of mammograms using a local affine transformation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3979. 847–853. 1 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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