Kevin Leung

606 total citations
17 papers, 389 citations indexed

About

Kevin Leung is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Kevin Leung has authored 17 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Kevin Leung's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced X-ray and CT Imaging (4 papers). Kevin Leung is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced X-ray and CT Imaging (4 papers). Kevin Leung collaborates with scholars based in United States, Canada and Iran. Kevin Leung's co-authors include Kyunghyun Cho, Cem M. Deniz, Martin G. Pomper, Gregory Chang, Yong Du, Steven P. Rowe, Bofei Zhang, Arman Rahmim, James S. Babb and Jimin Tan and has published in prestigious journals such as Scientific Reports, Radiology and Journal of Nuclear Medicine.

In The Last Decade

Kevin Leung

17 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kevin Leung United States	8	195	106	90	89	51	17	389
Kevin Lian Canada	7	145 0.7×	166 1.6×	82 0.9×	225 2.5×	30 0.6×	13	490
Hackjoon Shim South Korea	12	269 1.4×	197 1.9×	103 1.1×	54 0.6×	78 1.5×	50	499
Emrah Çeltikçi Türkiye	13	116 0.6×	27 0.3×	47 0.5×	138 1.6×	31 0.6×	49	426
Valentina Corino Italy	17	365 1.9×	238 2.2×	52 0.6×	129 1.4×	174 3.4×	98	956
Baldeep S. Sidhu United Kingdom	17	88 0.5×	79 0.7×	22 0.2×	106 1.2×	49 1.0×	74	878
Eros Montin Italy	10	232 1.2×	85 0.8×	55 0.6×	132 1.5×	160 3.1×	35	418
Sven S. Walter Germany	12	177 0.9×	112 1.1×	28 0.3×	80 0.9×	33 0.6×	42	372
Stéren Chabert Chile	10	104 0.5×	48 0.5×	12 0.1×	39 0.4×	40 0.8×	38	332
Xianjing Peng China	8	156 0.8×	90 0.8×	23 0.3×	56 0.6×	48 0.9×	17	300
Andrea Maria Faymonville Germany	8	162 0.8×	23 0.2×	16 0.2×	33 0.4×	63 1.2×	9	312

Countries citing papers authored by Kevin Leung

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Leung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Leung

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

All Works

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17 of 17 papers shown

Leung, Kevin, Steven P. Rowe, Jeffrey P. Leal, et al.. (2024). Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT. Journal of Nuclear Medicine. 65(4). 643–650. 25 indexed citations

Leung, Kevin, et al.. (2024). Influence of Interlimb Lean Muscle Mass Asymmetry on Countermovement Jump Neuromuscular Performance Qualities Among American Football Players. The Journal of Strength and Conditioning Research. 39(3). 325–331. 1 indexed citations

Wang, Tianyu, Kevin Leung, Gregory Chang, et al.. (2023). Prediction of total knee replacement using deep learning analysis of knee MRI. Scientific Reports. 13(1). 6922–6922. 16 indexed citations

Leung, Kevin, Steven P. Rowe, Jeffrey P. Leal, et al.. (2022). Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET. EJNMMI Research. 12(1). 76–76. 23 indexed citations

Shao, Wenyi, Kevin Leung, Jingyan Xu, et al.. (2022). Generation of Digital Brain Phantom for Machine Learning Application of Dopamine Transporter Radionuclide Imaging. Diagnostics. 12(8). 1945–1945. 3 indexed citations

Leung, Kevin, Steven P. Rowe, Martin G. Pomper, & Yong Du. (2021). A three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease. EJNMMI Research. 11(1). 52–52. 37 indexed citations

Leung, Kevin, et al.. (2020). Comparison of CNN-based Approaches for Detection of COVID-19 on Chest X-ray Images. 1–3. 5 indexed citations

Leung, Kevin, Bofei Zhang, Jimin Tan, et al.. (2020). Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative. Radiology. 296(3). 584–593. 146 indexed citations

Ashrafinia, Saeed, Mohammad Salehi Sadaghiani, Yafu Yin, et al.. (2019). Characterization of Segmented 18F-DCFPyL PET/CT Lesions in the Context of PSMA-RADS Structured Reporting. 60. 1565–1565. 3 indexed citations

10.

Shiri, Isaac, Pardis Ghafarian, Parham Geramifar, et al.. (2019). Direct attenuation correction of brain PET images using only emission data via a deep convolutional encoder-decoder (Deep-DAC). European Radiology. 29(12). 6867–6879. 74 indexed citations

11.

Shiri, Isaac, Kevin Leung, Pardis Ghafarian, et al.. (2019). HiResPET: high resolution PET image generation using deep convolution encoder decoder network. 60. 1368–1368. 6 indexed citations

12.

Shiri, Isaac, Kevin Leung, Pardis Ghafarian, et al.. (2019). Simultaneous Attenuation Correction and Reconstruction of PET Images Using Deep Convolutional Encoder Decoder Networks from Emission Data. 60. 1370–1370. 5 indexed citations

13.

Leung, Kevin, Saeed Ashrafinia, Mohammad Salehi Sadaghiani, et al.. (2019). A fully automated deep-learning based method for lesion segmentation in 18F-DCFPyL PSMA PET images of patients with prostate cancer. 60. 399–399. 7 indexed citations

14.

Wang, Tianyu, Kevin Leung, Kyunghyun Cho, Gregory Chang, & Cem M. Deniz. (2019). Total Knee Replacement prediction using Structural MRIs and 3D Convolutional Neural Networks. 5 indexed citations

15.

Shiri, Isaac, Kevin Leung, Parham Geramifar, et al.. (2019). PSFNET: ultrafast generation of PSF-modelled-like PET images using deep convolutional neural network. 60. 1369–1369. 6 indexed citations

16.

Leung, Kevin, Rick Wray, Saeed Ashrafinia, et al.. (2018). A deep-learning-based fully automated segmentation approach to delineate tumors in FDG-PET images of patients with lung cancer. 59. 323–323. 6 indexed citations

17.

Leung, Kevin, Mohammad R. Salmanpour, Abdollah Saberi, et al.. (2018). Using deep-learning to predict outcome of patients with Parkinson’s disease. 1–4. 21 indexed citations

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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