Daniel Ting

545 total citations
4 papers, 80 citations indexed

About

Daniel Ting is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daniel Ting has authored 4 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Ophthalmology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Daniel Ting's work include Retinal Imaging and Analysis (3 papers), Retinal and Optic Conditions (2 papers) and Ophthalmology and Visual Health Research (2 papers). Daniel Ting is often cited by papers focused on Retinal Imaging and Analysis (3 papers), Retinal and Optic Conditions (2 papers) and Ophthalmology and Visual Health Research (2 papers). Daniel Ting collaborates with scholars based in Singapore, United States and Denmark. Daniel Ting's co-authors include Jeong‐Min Hwang, Gregory D. Hager, Paul H. Yi, Caroline Vasseneix, Nancy J. Newman, Prem S. Subramanian, Dong Hyun Kim, Raymond P. Najjar, Jinchi Wei and Dan Miléa and has published in prestigious journals such as Annals of Neurology, Journal of Neuro-Ophthalmology and International Ophthalmology Clinics.

In The Last Decade

Daniel Ting

4 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ting Singapore 3 61 49 19 10 7 4 80
Stanley Poh Singapore 8 74 1.2× 82 1.7× 7 0.4× 22 2.2× 10 1.4× 12 148
Christiana Dinah United Kingdom 8 160 2.6× 134 2.7× 36 1.9× 4 0.4× 2 0.3× 29 187
Timothy J. Bennett United States 4 68 1.1× 61 1.2× 12 0.6× 3 0.3× 3 0.4× 6 98
Sing Hui Lim Singapore 5 86 1.4× 54 1.1× 9 0.5× 1 0.1× 4 0.6× 7 102
Peranut Chotcomwongse Thailand 5 54 0.9× 14 0.3× 6 0.3× 9 0.9× 3 0.4× 13 69
Abraham Olvera‐Barrios United Kingdom 8 160 2.6× 169 3.4× 5 0.3× 14 1.4× 8 1.1× 33 209
Crystal Chun Yuen Chong Singapore 6 130 2.1× 132 2.7× 2 0.1× 5 0.5× 8 1.1× 16 191
Gabriëlle H.S. Buitendijk Netherlands 3 78 1.3× 65 1.3× 7 0.4× 3 81
Wenbin Wei China 5 36 0.6× 39 0.8× 2 0.1× 2 0.2× 2 0.3× 10 70

Countries citing papers authored by Daniel Ting

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ting

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

All Works

4 of 4 papers shown
1.
Tsai, Andrew, Michelle Yip, Gavin Siew Wei Tan, et al.. (2024). Implementation of Artificial Intelligence in Retinopathy of Prematurity Care: Challenges and Opportunities. International Ophthalmology Clinics. 64(4). 9–14. 1 indexed citations
2.
Vasseneix, Caroline, Simon Nusinovici, Xinxing Xu, et al.. (2023). Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities. Journal of Neuro-Ophthalmology. 43(2). 159–167. 8 indexed citations
3.
Biousse, Valérie, Nancy J. Newman, Raymond P. Najjar, et al.. (2020). Optic Disc Classification by Deep Learning versus Expert Neuro‐Ophthalmologists. Annals of Neurology. 88(4). 785–795. 46 indexed citations
4.
Ting, Daniel, Paul H. Yi, Jinchi Wei, et al.. (2019). Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology. Journal of Neuro-Ophthalmology. 40(2). 178–184. 25 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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