Jinyi Ho

490 total citations · 1 hit paper
6 papers, 282 citations indexed

About

Jinyi Ho is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management and Ophthalmology. According to data from OpenAlex, Jinyi Ho has authored 6 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Health Information Management and 3 papers in Ophthalmology. Recurrent topics in Jinyi Ho's work include Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare (3 papers) and Retinal Diseases and Treatments (3 papers). Jinyi Ho is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare (3 papers) and Retinal Diseases and Treatments (3 papers). Jinyi Ho collaborates with scholars based in Singapore, United Kingdom and Zambia. Jinyi Ho's co-authors include Mong Li Lee, Valentina Bellemo, Wynne Hsu, Gilbert Lim, Gavin Siew Wei Tan, Michelle Yip, Yuchen Xie, Haslina Hamzah, Tien Yin Wong and Quang D. Nguyen and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Journal of the American Medical Informatics Association and npj Digital Medicine.

In The Last Decade

Jinyi Ho

6 papers receiving 277 citations

Hit Papers

Artificial intelligence using deep learning to screen for... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyi Ho Singapore 4 218 159 58 46 36 6 282
Dejiang Xu Singapore 6 158 0.7× 111 0.7× 44 0.8× 22 0.5× 37 1.0× 15 252
Saad Khan United Kingdom 5 157 0.7× 111 0.7× 22 0.4× 50 1.1× 37 1.0× 7 263
Cristina González-Gonzalo Netherlands 6 247 1.1× 202 1.3× 17 0.3× 52 1.1× 57 1.6× 12 326
Louis Bolter United Kingdom 8 461 2.1× 408 2.6× 58 1.0× 49 1.1× 23 0.6× 15 506
Hina Raja United States 9 216 1.0× 145 0.9× 13 0.2× 101 2.2× 55 1.5× 21 295
Tony Lindsey United States 5 209 1.0× 139 0.9× 70 1.2× 13 0.3× 37 1.0× 5 281
Valentina Bellemo Singapore 7 511 2.3× 399 2.5× 112 1.9× 91 2.0× 64 1.8× 13 635
Christopher Semturs United States 5 149 0.7× 127 0.8× 12 0.2× 29 0.6× 24 0.7× 7 196
Jaemin Son South Korea 7 352 1.6× 234 1.5× 37 0.6× 18 0.4× 68 1.9× 7 400
Yeganeh Madadi United States 9 141 0.6× 63 0.4× 11 0.2× 120 2.6× 73 2.0× 17 249

Countries citing papers authored by Jinyi Ho

Since Specialization
Citations

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

Fields of papers citing papers by Jinyi Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyi Ho

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

All Works

6 of 6 papers shown
1.
Betzler, Bjorn Kaijun, Cynthia Ciwei Lim, Jinyi Ho, et al.. (2023). Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes. Journal of the American Medical Informatics Association. 30(12). 1904–1914. 14 indexed citations
2.
Yip, Michelle, Gilbert Lim, Zhan Wei Lim, et al.. (2020). Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy. npj Digital Medicine. 3(1). 40–40. 31 indexed citations
3.
Yip, Michelle, Gilbert Lim, Valentina Bellemo, et al.. (2019). Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 60(9). 1438–1438. 1 indexed citations
4.
Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes. Investigative Ophthalmology & Visual Science. 60(9). 1439–1439. 1 indexed citations
5.
Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study. The Lancet Digital Health. 1(1). e35–e44. 227 indexed citations breakdown →
6.
Bellemo, Valentina, Zhan Wei Lim, Gilbert Lim, et al.. (2019). Artificial Intelligence Using Deep Learning to Screen for Referable and Vision-Threatening Diabetic Retinopathy in Africa. SSRN Electronic Journal. 8 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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