C. C. Tchoyoson Lim

7.1k citations
157 papers · 4.7k indexed · 1 hit paper · h-index 31

C. C. Tchoyoson Lim

151 papers receiving 4.5k citations

Hit Papers

Deep Learning Applications in Medical Image Analysis9412017202620202023250500750

Peers

C. C. Tchoyoson Lim
Comparison fields: 5 of 175
  • Neurology 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.7k
  • Health Informatics 96
  • Neurology 300
  • Genetics 381
Replace Arturo Brunetti with:
Arturo Brunetti Italy
Dieter R. Enzmann United States
Paul Babyn Canada
Christopher P. Hess United States
Andrew G. Lee United States
Niranjan Khandelwal India
Peter W. Hamilton United Kingdom
Tian Liu United States
Jacqueline A. James United Kingdom
Yeun‐Chung Chang Taiwan
C. C. Tchoyoson Lim relative to Arturo Brunetti Italy Arturo Brunetti's profile →
Citations per field
00.5×1.5×
Arturo Brunetti · 1×
Citations per year

Countries citing papers authored by C. C. Tchoyoson Lim

Since Specialization
Citations

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

Fields of papers citing papers by C. C. Tchoyoson Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. C. Tchoyoson Lim. 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 C. C. Tchoyoson Lim. The network helps show where C. C. Tchoyoson Lim may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C. C. Tchoyoson Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. C. Tchoyoson Lim Line = papers co-authored together C. C. Tchoyoson Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 20231
3 20213
4 20216
5 202029
6 20171
7 20142
8 20135
9
A generative model based approach to retrieving ischemic stroke images.
20112
10 201115
11 201113
12 201147
13 200927
14 200814
15 20077
16 20061
17
Endoscopic retrograde cholangiopancreatography in the elderly: outcomes, safety and complications.
200518
18 200570
19 20036
20
Mucocele involving the anterior clinoid process: MR and CT findings.
199951

About C. C. Tchoyoson Lim

C. C. Tchoyoson Lim is a scholar working on Neurology, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 157 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (25 papers), MRI in cancer diagnosis (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Glioma Diagnosis and Treatment (12 papers), Neurological and metabolic disorders (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Medical Imaging Techniques and Applications (9 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Neurology (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Health Informatics (96 citations). C. C. Tchoyoson Lim has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Jai Prashanth Rao, Justin Ker, Lipo Wang, Xavier Golay, Esben Thade Petersen, Suyash Mohan, Amogh N. Hegde, Brenda Ang, Lin‐Fa Wang and Wai Hoe Ng. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and NeuroImage.

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