Leonard Wee

4.4k citations
127 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Radiomics and Machine Learning in Medical Imaging (74 papers)Lung Cancer Diagnosis and Treatment (28 papers)Advanced X-ray and CT Imaging (28 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Applied Physics

In The Last Decade

Leonard Wee

113 papers receiving 2.5k citations

Hit Papers

Repeatability and Reproducibility of Radiomic Features: A...20182026202020232018100200300400500

Peers

Leonard Wee
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Biomedical Engineering 713
  • Pulmonary and Respiratory Medicine 695
  • Artificial Intelligence 466
  • Oncology 366
Replace Kujtim Latifi with:
Kujtim Latifi United States
MingDe Lin United States
Isaac Shiri Switzerland
George C. Kagadis Greece
Michael Ingrisch Germany
Jiazhou Wang China
Benjamin H. Kann United States
Jurgen J. Fütterer Netherlands
Thibaud Coroller United States
Tianye Niu China
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Citations per field
00.5×10×14×
Kujtim Latifi · 1×
Citations per year

Countries citing papers authored by Leonard Wee

Since Specialization
Citations

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

Fields of papers citing papers by Leonard Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonard Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Wee. A scholar is included among the top collaborators of Leonard Wee 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 Leonard Wee. Leonard Wee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 4
6 0
7 0
8 17
9 3
10 6
11 7
12 2
13 32
14 20
15 50
16 26
17 18
18 1
19 37
20 11

About Leonard Wee

Leonard Wee is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 127 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (74 papers), Lung Cancer Diagnosis and Treatment (28 papers) and Advanced X-ray and CT Imaging (28 papers). The work is most often cited by research in Health Informatics (182 citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Radiation (259 citations). Leonard Wee has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include André Dekker, Alberto Traverso, Robert J. Gillies, David A. Jaffray, Zhenwei Shi, Mattea Welch, Iñigo Bermejo, R. L. Stamps, Juha Korhonen and Ivan Zhovannik. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

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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