Jun Deng

4.5k citations
122 papers · 3.1k indexed · 1 hit paper · h-index 28

Jun Deng

114 papers receiving 3.0k citations

Hit Papers

Digital twins for health: a scoping review22020242026202550100150200

Peers

Jun Deng
Comparison fields: 5 of 152
  • Radiation 1.3k
  • Health Informatics 126
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pulmonary and Respiratory Medicine 1.1k
  • Health Information Management 84
Replace James C. L. Chow with:
James C. L. Chow Canada
Lois Holloway Australia
D. Cavouras Greece
George Panayiotakis Greece
Carey E. Floyd United States
M.M. Matuszak United States
George C. Kagadis Greece
David Thwaites Australia
Michael F. McNitt‐Gray United States
Todd McNutt United States
Jun Deng relative to James C. L. Chow Canada James C. L. Chow's profile →
Citations per field
00.5×1.5×
James C. L. Chow · 1×
Citations per year

Countries citing papers authored by Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2
Digital twins for health: a scoping reviewbreakdown →
2024220
3 20234
4 20234
5 20230
6 202046
7 202020
8 20191
9 20193
10 20192
11 201938
12 201820
13 201753
14 201630
15 20152
16 201516
17 20158
18 20159
19 20156
20 200810

About Jun Deng

Jun Deng is a scholar working on Radiation, Fuel Technology and Health Informatics, having authored 122 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (53 papers), Radiation Dose and Imaging (30 papers), Radiation Therapy and Dosimetry (27 papers), Medical Imaging Techniques and Applications (20 papers), Advanced X-ray and CT Imaging (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Radiation Detection and Scintillator Technologies (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Radiation (1.3k citations), Health Informatics (126 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Jun Deng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Todd Pawlicki, Gregory R. Hart, J. W. Emmert, L. A. Bloomfield, Steve Jiang, Bradley J. Nartowt, J S Li, Jinsheng Li, Ravinder Nath and Wazir Muhammad. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology, Medical Physics, PLoS ONE and Scientific Reports.

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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