Zhouyu Guan

1.1k total citations
13 papers, 220 citations indexed

About

Zhouyu Guan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Zhouyu Guan has authored 13 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Health Informatics. Recurrent topics in Zhouyu Guan's work include Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Artificial Intelligence in Healthcare (3 papers). Zhouyu Guan is often cited by papers focused on Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Artificial Intelligence in Healthcare (3 papers). Zhouyu Guan collaborates with scholars based in China, Malaysia and Singapore. Zhouyu Guan's co-authors include Bin Sheng, Weiping Jia, Huating Li, Jiajia Li, Xiangning Wang, Ruhan Liu, Liang Wu, Jia Shu, Dan Liu and Shan Huang and has published in prestigious journals such as The Lancet Diabetes & Endocrinology, Science Bulletin and Frontiers in Public Health.

In The Last Decade

Zhouyu Guan

11 papers receiving 211 citations

Peers

Zhouyu Guan

RNMI

HIM

AI

HI

EDM

Jia Shu China

Sum Yi Wong Hong Kong

Samantha Min Er Yew Singapore

Şeyma Yaşar Türkiye

Jocelyn Hui Lin Goh Singapore

Arjun Panesar United Kingdom

Krithi Pushpanathan Singapore

Ashwin Nayak United States

Stephanie L. Hyland United States

Rahul Thapa United States

Jia Shu China

Zhouyu Guan

27 ×0.5

RNMI

35 ×0.6

HIM

28 ×0.5

AI

32 ×0.7

HI

27 ×0.7

EDM

Citations per year, relative to Zhouyu Guan Zhouyu Guan (= 1×) peers Jia Shu

Countries citing papers authored by Zhouyu Guan

Since Specialization

Citations

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

Fields of papers citing papers by Zhouyu Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouyu Guan

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

All Works

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13 of 13 papers shown

1.

Guan, Zhouyu, et al.. (2026). Can generative artificial intelligence empower target trial emulations?. The Lancet Digital Health. 8(1). 100950–100950.

2.

Dang, Kang, Soon H Song, Zilong Wang, et al.. (2025). AI-assisted facial analysis in healthcare: From disease detection to comprehensive management. Patterns. 6(2). 101175–101175. 7 indexed citations

3.

Guan, Zhouyu, et al.. (2025). A visual-language foundation model for disease diagnosis and doctor–patient co-decision. The Visual Computer. 41(10). 8089–8101. 1 indexed citations

4.

Guan, Zhouyu, Jian Guan, Ruhan Liu, et al.. (2025). DSTS-GF: a dual-stream temporal–spatial transformer with gated fusion for the classification of Obstructive Sleep Apnea. The Visual Computer. 41(10). 8075–8087. 1 indexed citations

5.

Zhou, Jun, et al.. (2025). Artificial intelligence in the management of hypertension: a narrative review. The Visual Computer. 41(12). 10417–10431. 1 indexed citations

6.

Wu, Yiting, Haoxuan Li, Zhouyu Guan, et al.. (2025). Research progress on AI-assisted screening and prediction of systemic diseases based on retinal images. The Visual Computer. 41(12). 9509–9537.

7.

Sheng, Bin, Zhouyu Guan, Lee‐Ling Lim, et al.. (2024). Large language models for diabetes care: Potentials and prospects. Science Bulletin. 69(5). 583–588. 29 indexed citations

8.

Sheng, Bin, Krithi Pushpanathan, Zhouyu Guan, et al.. (2024). Artificial intelligence for diabetes care: current and future prospects. The Lancet Diabetes & Endocrinology. 12(8). 569–595. 38 indexed citations

9.

Zhang, Chenxi, Zhouyu Guan, Ting‐Li Chen, et al.. (2024). AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects. The Visual Computer. 40(6). 3871–3887. 10 indexed citations

10.

Guan, Zhouyu, et al.. (2024). A deep learning system for the detection of optic disc neovascularization in diabetic retinopathy using optical coherence tomography angiography images. The Visual Computer. 41(2). 1293–1302. 5 indexed citations

11.

Guan, Zhouyu, Tingyao Li, Bo Qian, et al.. (2024). Visual–language foundation models in medicine. The Visual Computer. 41(4). 2953–2972. 6 indexed citations

12.

Guan, Zhouyu, Huating Li, Ruhan Liu, et al.. (2023). Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Reports Medicine. 4(10). 101213–101213. 117 indexed citations

13.

Xu, Jianing, et al.. (2022). Improve Cardiac Emergency Preparedness by Building a Team-Based Cardiopulmonary Resuscitation Educational Plan. Frontiers in Public Health. 10. 895367–895367. 5 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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