John A. Lee

283 papers receiving 9.8k citations

John A. Lee's Hit Papers

Artificial intelligence and machine learning for medical imaging: A technology review 2021 · 261 citations
2610+10+20Years since publication2505007501000

Peers

John A. Lee
Comparison fields: 5 of 214
  • Radiation 1.3k
  • Otorhinolaryngology 426
  • Computer Vision and Pattern Recognition 1.9k
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Health Informatics 79
Replace Taesung Park with:
Taesung Park South Korea
Robert M. Haralick United States
I. Dinstein Israel
Jianming Liang United States
Michael Flynn United States
Yoshinobu Sato Japan
Yi Zhang China
Heinz‐Otto Peitgen Germany
Bjoern Menze Germany
Stéfan van der Walt United States
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Citations per field
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Citations per year

Countries citing papers authored by John A. Lee

Since Specialization
Citations

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

Fields of papers citing papers by John A. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Lee. 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 John A. Lee. The network helps show where John A. Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 313 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonlinear Dimensionality Reduction
Hit paper breakdown →
20071074
2
Fertilization and early embryolgoy: ATP content of human oocytes and developmental potential and outcome after in-vitro fertilization and embryo transfer
Hit paper breakdown →
1995578
3 2007336
4 2001312
5
Artificial intelligence and machine learning for medical imaging: A technology review
Hit paper breakdown →
2021261
6
Nonlinear dimensionality reduction
2009211
7
Long-term Experiments in Agricultural and Ecological Sciences
1994205
8 2009202
9 1974191
10 2017190
11 2012181
12 2016179
13 2008175
14 2008169
15 2010153
16 2004147
17 2007135
18 2010132
19 1989132
20 2010127

About John A. Lee

John A. Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 313 papers that have together received 10.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (45 papers), Face and Expression Recognition (33 papers), Neural Networks and Applications (30 papers), Medical Imaging Techniques and Applications (30 papers), Radiation Therapy and Dosimetry (29 papers), Blind Source Separation Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Image and Signal Denoising Methods (15 papers). The work is most often cited by research in Radiation (1.3k citations), Otorhinolaryngology (426 citations), Computer Vision and Pattern Recognition (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Health Informatics (79 citations). John A. Lee has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Michel Verleysen, Vincent Grégoire, Xavier Geets, Patrick Davis, Jonathan Van Blerkom, Edmond Sterpin, Gareth K. Phoenix, Anne Bol, Amaury Lendasse and Terry V. Callaghan. Their work appears in journals such as Medical Physics, Neurocomputing, Radiotherapy and Oncology, The Lancet Oncology and Physics in Medicine and Biology.

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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