Yiran Tan

522 total citations
35 papers, 292 citations indexed

About

Yiran Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yiran Tan has authored 35 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ophthalmology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yiran Tan's work include Glaucoma and retinal disorders (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Retinal Diseases and Treatments (3 papers). Yiran Tan is often cited by papers focused on Glaucoma and retinal disorders (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Retinal Diseases and Treatments (3 papers). Yiran Tan collaborates with scholars based in Australia, China and United States. Yiran Tan's co-authors include Stephen Bacchi, Simon A. Koblar, Jim Jannes, Timothy Kleinig, Weng Onn Chan, Jagjit S. Gilhotra, Michelle T. Sun, Shane R. Durkin, Luke Oakden‐Rayner and Jiong Zhang and has published in prestigious journals such as ACS Nano, Journal of Cleaner Production and ACS Applied Materials & Interfaces.

In The Last Decade

Yiran Tan

29 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiran Tan Australia 11 61 58 56 37 36 35 292
Israel Cohen Israel 10 102 1.7× 76 1.3× 15 0.3× 7 0.2× 122 3.4× 32 423
Metib Alotaibi Saudi Arabia 10 84 1.4× 19 0.3× 63 1.1× 154 4.2× 47 1.3× 24 618
Yaqian Mao China 9 27 0.4× 13 0.2× 4 0.1× 59 1.6× 9 0.3× 22 339
Shivani Sinha India 12 104 1.7× 56 1.0× 119 2.1× 11 0.3× 5 0.1× 60 390
Elizabeth Dick United Kingdom 11 81 1.3× 6 0.1× 6 0.1× 12 0.3× 19 0.5× 27 306
Anand Avati United States 5 10 0.2× 60 1.0× 1 0.0× 13 0.4× 29 0.8× 6 166
Luís Rodrigues Portugal 10 17 0.3× 13 0.2× 4 0.1× 3 0.1× 2 0.1× 46 484
Ali Ebrahimi Denmark 10 20 0.3× 45 0.8× 1 0.0× 235 6.4× 7 0.2× 40 375
Peder Andersson Sweden 10 50 0.8× 35 0.6× 28 0.8× 22 0.6× 26 415
Bin Zeng China 9 40 0.7× 27 0.5× 5 0.1× 21 0.6× 28 284

Countries citing papers authored by Yiran Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yiran Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiran Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yiran Tan. A scholar is included among the top collaborators of Yiran Tan 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 Yiran Tan. Yiran Tan 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.
Xiao, Yao, Zhou Meng, Ying Yang, et al.. (2025). Reusable energy-absorbing NiTi alloy assembled mechanical metamaterials with ultra-large recoverable strain and ultra-high cyclic stability. Applied Materials Today. 44. 102790–102790. 1 indexed citations
2.
Mo, Weichuan, Libo Zhang, Yiran Tan, et al.. (2025). Quantum-Geometry–Enabled Terahertz Rectification in the Weyl Semimetal TaP. ACS Nano. 19(46). 40119–40127.
3.
4.
Wang, Jipeng, et al.. (2024). Effect of vegetation on unsaturated soil hydraulic and the slope stability under rainfall. Rhizosphere. 31. 100933–100933. 5 indexed citations
5.
Zhao, Shunzheng, Yiran Tan, Xiaolong Tang, et al.. (2024). NiO lattice oxygen overflow promoted by Ti3C2 support enhances catalytic hydrolysis of carbonyl sulfide in metallurgical gas. Nano Materials Science.
6.
To, Minh‐Son, Christopher D. Ovenden, Joshua G. Kovoor, et al.. (2024). Vital sign measurements demonstrate terminal digit bias and boundary effects. Emergency Medicine Australasia. 36(4). 543–546. 5 indexed citations
7.
Gao, Fengyu, Yiran Tan, Honghong Yi, et al.. (2024). Knowledge-Driven Experimental Discovery of Ce-Based Metal Oxide Composites for Selective Catalytic Reduction of NOx with NH3 through Interpretable Machine Learning. ACS Applied Materials & Interfaces. 16(3). 3593–3604. 15 indexed citations
8.
Pugh, Charlotte, Kyle B. Franke, Yiran Tan, et al.. (2023). Deep learning in the marking of medical student short answer question examinations: Student perceptions and pilot accuracy assessment. Focus on Health Professional Education A Multi-Professional Journal. 38–48. 4 indexed citations
9.
Bacchi, Stephen, et al.. (2023). Ophthalmology Operation Note Encoding with Open-Source Machine Learning and Natural Language Processing. Ophthalmic Research. 66(1). 928–939. 4 indexed citations
10.
Bacchi, Stephen, et al.. (2023). Immune Checkpoint Inhibitors and Optic Neuropathy: A Systematic Review. Seminars in Ophthalmology. 38(6). 547–558. 2 indexed citations
11.
Tan, Yiran, et al.. (2022). Prevalence and causes of visual impairment and blindness in Lao People’s Democratic Republic: the Vientiane Eye Study. British Journal of Ophthalmology. 107(8). 1178–1183. 1 indexed citations
12.
Bacchi, Stephen, Yiran Tan, Joshua G. Kovoor, et al.. (2022). Non-fungible tokens in ophthalmology: what is it good for?. Eye. 37(12). 2434–2435. 1 indexed citations
13.
Franke, Kyle B., David Wang, Yiran Tan, et al.. (2022). Professionalism and clinical short answer question marking with machine learning. Internal Medicine Journal. 52(7). 1268–1271. 6 indexed citations
14.
Tan, Yiran, et al.. (2022). Prevalence and risk factors for cataracts in the Lao People’s Democratic Republic: The Vientiane Eye Study. Indian Journal of Ophthalmology. 70(5). 1599–1605. 1 indexed citations
15.
Bacchi, Stephen, Samuel Gluck, Yiran Tan, et al.. (2021). Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study. Internal and Emergency Medicine. 17(2). 411–415. 6 indexed citations
16.
Tan, Yiran, et al.. (2021). Anti-VEGF crunch syndrome in proliferative diabetic retinopathy: A review. Survey of Ophthalmology. 66(6). 926–932. 56 indexed citations
17.
Tan, Yiran, et al.. (2021). Prevalence of glaucoma in the Lao People’s Democratic Republic: the Vientiane Eye Study. British Journal of Ophthalmology. 106(8). bjophthalmol–2020. 5 indexed citations
18.
Tan, Yiran, Wilson S. Wong, David Sia, et al.. (2021). MODIFIED ILLUMINATED SCLERAL DEPRESSOR: A COST-EFFICIENT INSTRUMENT FOR UNASSISTED VITREOUS BASE SHAVING. Retina. 41(7). 1577–1578.
19.
Bacchi, Stephen, Samuel Gluck, Yiran Tan, et al.. (2020). Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Internal and Emergency Medicine. 15(6). 989–995. 34 indexed citations
20.
Bacchi, Stephen, Yiran Tan, Luke Oakden‐Rayner, et al.. (2020). Machine learning in the prediction of medical inpatient length of stay. Internal Medicine Journal. 52(2). 176–185. 38 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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2026