Suyun Rao

509 total citations
12 papers, 339 citations indexed

About

Suyun Rao is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Suyun Rao has authored 12 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ophthalmology, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Suyun Rao's work include Advanced Vision and Imaging (3 papers), Retinal Diseases and Treatments (3 papers) and Retinal and Optic Conditions (2 papers). Suyun Rao is often cited by papers focused on Advanced Vision and Imaging (3 papers), Retinal Diseases and Treatments (3 papers) and Retinal and Optic Conditions (2 papers). Suyun Rao collaborates with scholars based in China, United States and Hong Kong. Suyun Rao's co-authors include Yi Ma, Renè Vidal, Roberto Tron, Ai‐Li Yang, Andrew Wagner, Yue Ma, Jun Liu, Robert M. Fossum, Yi Ma and Ke Xiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Omega and Journal of drug targeting.

In The Last Decade

Suyun Rao

11 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suyun Rao China 5 281 121 80 71 41 12 339
Kewei Tang China 9 236 0.8× 112 0.9× 86 1.1× 90 1.3× 26 0.6× 26 311
Yuanyuan Jiao China 8 232 0.8× 68 0.6× 73 0.9× 144 2.0× 24 0.6× 22 343
Nenghai Yu China 4 264 0.9× 133 1.1× 102 1.3× 92 1.3× 25 0.6× 8 318
Wenrui Hu China 9 284 1.0× 135 1.1× 57 0.7× 43 0.6× 22 0.5× 16 376
Haoyuan Gao China 8 402 1.4× 144 1.2× 104 1.3× 219 3.1× 30 0.7× 18 543
Meng Ding China 11 309 1.1× 211 1.7× 133 1.7× 44 0.6× 35 0.9× 28 472
Chih-Fan Chen United States 5 227 0.8× 153 1.3× 69 0.9× 36 0.5× 50 1.2× 12 316
Zilan Hu China 7 229 0.8× 43 0.4× 64 0.8× 101 1.4× 37 0.9× 10 293
Z. Fan United States 7 409 1.5× 97 0.8× 195 2.4× 36 0.5× 6 0.1× 11 549

Countries citing papers authored by Suyun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Suyun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyun Rao

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

All Works

12 of 12 papers shown
1.
Huang, Yida, Suyun Rao, Xufang Sun, & Jun Liu. (2025). Advances in molecular epidemiology of diabetic retinopathy: from genomics to gut microbiomics. Molecular Biology Reports. 52(1). 304–304. 3 indexed citations
3.
Rao, Suyun, et al.. (2024). Emerging role of ferroptosis in diabetic retinopathy: a review. Journal of drug targeting. 32(4). 393–403. 4 indexed citations
5.
Rao, Suyun, et al.. (2024). Deep Learning-Based Vascular Aging Prediction From Retinal Fundus Images. Translational Vision Science & Technology. 13(7). 10–10. 2 indexed citations
6.
Rao, Suyun, et al.. (2023). Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis. European Journal of Ophthalmology. 34(2). 502–509. 3 indexed citations
7.
Kumari, A. Charan, et al.. (2022). Composite Feature Set Based Dental Image Segmentation Framework through Unsupervised Learning. International journal of intelligent engineering and systems. 15(5). 638–651. 1 indexed citations
8.
Rao, Suyun, Roberto Tron, Renè Vidal, & Yi Ma. (2009). Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(10). 1832–1845. 250 indexed citations
9.
Yang, Ai‐Li, Suyun Rao, & Yi Ma. (2006). Robust Statistical Estimation and Segmentation of Multiple Subspaces. 99–99. 55 indexed citations
10.
Yang, Ai‐Li, Suyun Rao, Andrew Wagner, & Yue Ma. (2005). Segmentation of a Piece-Wise Planar Scene from Perspective Images. 1. 154–161. 8 indexed citations
11.
Yang, Ai‐Li, Suyun Rao, Andrew Wagner, Yi Ma, & Robert M. Fossum. (2005). Hilbert functions and applications to the estimation of subspace arrangements. 72. 158–165 Vol. 1. 6 indexed citations
12.
Rao, Suyun, Ai‐Li Yang, Andrew Wagner, & Yi Ma. (2005). Segmentation of hybrid motions via hybrid quadratic surface analysis. 2–9 Vol. 1. 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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