Li Sze Chow

43 total papers · 672 total citations
28 papers, 427 citations indexed

About

Li Sze Chow is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Li Sze Chow has authored 28 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Ophthalmology. Recurrent topics in Li Sze Chow's work include Advanced MRI Techniques and Applications (8 papers), Brain Tumor Detection and Classification (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Li Sze Chow is often cited by papers focused on Advanced MRI Techniques and Applications (8 papers), Brain Tumor Detection and Classification (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Li Sze Chow collaborates with scholars based in Malaysia, United Kingdom and China. Li Sze Chow's co-authors include Raveendran Paramesran, Martyn N.J. Paley, Elspeth Whitby, Norlisah Ramli, Mahmud Iwan Solihin, Kartini Rahmat, Martyn N.J. Paley, Andrew Dagens, Ying Fu and Sew Sun Tiang and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Li Sze Chow

22 papers receiving 416 citations

Author Peers

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

Author Last Decade Papers Cites
Li Sze Chow 232 156 88 70 68 28 427
Inas A. Yassine 149 0.6× 77 0.5× 60 0.7× 143 2.0× 16 0.2× 32 390
Peishan Dai 235 1.0× 189 1.2× 95 1.1× 93 1.3× 67 1.0× 34 454
Antonios Perperidis 146 0.6× 71 0.5× 128 1.5× 41 0.6× 15 0.2× 29 369
Zhaohui Zhu 224 1.0× 80 0.5× 71 0.8× 14 0.2× 35 0.5× 25 430
Nagesh K. Subbanna 118 0.5× 219 1.4× 39 0.4× 24 0.3× 22 0.3× 17 444
Rafael Navarro 102 0.4× 83 0.5× 41 0.5× 79 1.1× 23 0.3× 17 483
Robert D. Fiete 98 0.4× 148 0.9× 99 1.1× 19 0.3× 95 1.4× 23 485
D. Vijayalakshmi 109 0.5× 161 1.0× 53 0.6× 23 0.3× 62 0.9× 27 413
Edward Muka 147 0.6× 161 1.0× 69 0.8× 13 0.2× 28 0.4× 27 413
Xinyuan Zhang 305 1.3× 105 0.7× 57 0.6× 27 0.4× 28 0.4× 36 471

Countries citing papers authored by Li Sze Chow

Since Specialization
Citations

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

Fields of papers citing papers by Li Sze Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Sze Chow. 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 Li Sze Chow. The network helps show where Li Sze Chow may publish in the future.

Co-authorship network of co-authors of Li Sze Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Li Sze Chow. A scholar is included among the top collaborators of Li Sze Chow 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 Li Sze Chow. Li Sze Chow 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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