Ian Chan

991 citations
32 papers · 636 indexed · h-index 11

Impact in

Papers in

Ian Chan

30 papers receiving 622 citations

Peers

Ian Chan
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 362
  • Computer Vision and Pattern Recognition 156
  • Pulmonary and Respiratory Medicine 203
  • Health Informatics 7
  • Artificial Intelligence 120
Replace Andrea Esposito with:
Andrea Esposito Italy
S. Sara Mahdavi Canada
Xiangfei Chai China
Vincent Agnus France
Michael Suehling Germany
Fajin Dong China
Yih Miin Liew Malaysia
Dakai Jin United States
Alexandre Moreau–Gaudry France
Claude Kauffmann Canada
Ian Chan relative to Andrea Esposito Italy Andrea Esposito's profile →
Citations per field
00.5×1.5×2.0×
Andrea Esposito · 1×
Citations per year

Countries citing papers authored by Ian Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ian Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ian Chan, 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 Ian Chan Line = papers co-authored together Ian Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003179
2 2015111
3 201572
4 201443
5 202038
6 200136
7 201633
8 201422
9 201620
10 201418
11 201611
12 20168
13 20067
14 20236
15 20205
16 20154
17 20223
18 20153
19 20153
20 20023

About Ian Chan

Ian Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Emergency Medical Services and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 636 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers), Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Radiation Dose and Imaging (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (362 citations), Computer Vision and Pattern Recognition (156 citations), Pulmonary and Respiratory Medicine (203 citations), Health Informatics (7 citations) and Artificial Intelligence (120 citations). Ian Chan has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Shuo Li, Mousumi Bhaduri, Ali Islam, Xiantong Zhen, Jianqing Zhang, William M. Wells, Stephan E. Maier, Robert V. Mulkern, Kelly H. Zou and Clare M. Tempany. Their work appears in journals such as Medical Image Analysis, International Journal of Radiation Oncology*Biology*Physics, The Annals of Thoracic Surgery, Medical Physics and Annals of Cardiothoracic Surgery.

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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