Lilian Tang

25 total papers · 447 total citations
17 papers, 198 citations indexed

About

Lilian Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lilian Tang has authored 17 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lilian Tang's work include Retinal Imaging and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Surgical Simulation and Training (3 papers). Lilian Tang is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Surgical Simulation and Training (3 papers). Lilian Tang collaborates with scholars based in United Kingdom, China and Saudi Arabia. Lilian Tang's co-authors include Vassileios Balntas, Krystian Mikolajczyk, George M. Saleh, Paul Smith, Yousif Subhi, Ann Sofia Skou Thomsen, Lars Konge, Morten la Cour, Karen M. Young and Jonathan Goh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, JAMA Ophthalmology and Acta Ophthalmologica.

In The Last Decade

Lilian Tang

15 papers receiving 196 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lilian Tang 98 77 69 47 30 17 198
Martin Böhme 159 1.6× 47 0.6× 4 0.1× 19 0.4× 17 0.6× 21 263
Zhen-Liang Ni 109 1.1× 6 0.1× 83 1.2× 15 0.3× 42 1.4× 17 256
Murilo M. Marinho 52 0.5× 14 0.2× 75 1.1× 30 0.6× 24 0.8× 29 199
Zhiliang Wang 78 0.8× 15 0.2× 10 0.1× 5 0.1× 43 1.4× 30 197
Henry A. Leopold 110 1.1× 114 1.5× 4 0.1× 30 0.6× 150 5.0× 10 255
Medha Wyawahare 118 1.2× 13 0.2× 6 0.1× 38 0.8× 42 1.4× 18 221
Hansang Kim 110 1.1× 9 0.1× 18 0.3× 5 0.1× 11 0.4× 9 166
Yan-Jie Zhou 62 0.6× 6 0.1× 72 1.0× 7 0.1× 40 1.3× 23 217
Ole Vilhelm Larsen 126 1.3× 147 1.9× 28 0.4× 3 0.1× 187 6.2× 19 268
Fan Huang 78 0.8× 145 1.9× 6 0.1× 3 0.1× 191 6.4× 22 249

Countries citing papers authored by Lilian Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lilian Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lilian Tang

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

All Works

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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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