Les Folio

8.0k citations
131 papers · 3.7k indexed · 3 hit papers · h-index 28

Impact in

Papers in

Les Folio

122 papers receiving 3.6k citations

Hit Papers

Preparing Medical Imaging Data for Machine Learning 2020 · 553 citations
5532013202620172021100200300400500

Peers

Les Folio
Comparison fields: 5 of 155
  • Health Informatics 335
  • Radiology, Nuclear Medicine and Imaging 2.3k
  • Artificial Intelligence 752
  • Pulmonary and Respiratory Medicine 656
  • Biomedical Engineering 830
Replace Chang Min Park with:
Chang Min Park South Korea
Yi‐Hong Chou Taiwan
Alfonso Reginelli Italy
Luca Brunese Italy
Susana Puig Spain
Eui Jin Hwang South Korea
Cornelia Schaefer‐Prokop Netherlands
Olivier Morin United States
Harald Kittler Austria
Didier Mutter France
Les Folio relative to Chang Min Park South Korea Chang Min Park's profile →
Citations per field
00.5×1.5×
Chang Min Park · 1×
Citations per year

Countries citing papers authored by Les Folio

Since Specialization
Citations

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

Fields of papers citing papers by Les Folio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Preparing Medical Imaging Data for Machine Learning
Hit paper breakdown →
2020553
2
Automatic Tuberculosis Screening Using Chest Radiographs
Hit paper breakdown →
2013434
3
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
Hit paper breakdown →
2020244
4 2015170
5 2016163
6 2017145
7 2014134
8 2015134
9 2014124
10 201692
11 201582
12 201578
13 201074
14 201367
15 201663
16 202162
17 201645
18 201943
19 201842
20 201142

About Les Folio

Les Folio is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Pulmonary and Respiratory Medicine and Emergency Medical Services, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Radiation Dose and Imaging (24 papers), Advanced X-ray and CT Imaging (21 papers), Radiology practices and education (15 papers), COVID-19 diagnosis using AI (13 papers), AI in cancer detection (12 papers), Traumatic Ocular and Foreign Body Injuries (12 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Health Informatics (335 citations), Radiology, Nuclear Medicine and Imaging (2.3k citations), Artificial Intelligence (752 citations), Pulmonary and Respiratory Medicine (656 citations) and Biomedical Engineering (830 citations). Les Folio has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Sameer Antani, Jenifer Siegelman, Sema Candemir, Sivaramakrishnan Rajaraman, Stefan Jaeger, Ronald M. Summers, Philip O. Alderson, Martin J. Willemink, Hugh Harvey and Jie Wu. Their work appears in journals such as Journal of Digital Imaging, Radiology, American Journal of Roentgenology, Journal of Clinical Oncology and Academic Radiology.

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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