Jun Tan

867 citations
50 papers · 639 · h-index 13

Impact in

Papers in

Jun Tan

45 papers receiving 616 citations

Peers

Jun Tan
Comparison fields: 5 of 64
  • Radiation 269
  • Radiology, Nuclear Medicine and Imaging 130
  • Health Informatics 8
  • Computer Networks and Communications 103
  • Management Science and Operations Research 53
Replace V. Krishnaswamy with:
V. Krishnaswamy United States
Wu Liu China
Lan Yao China
Azar Sadeghnejad Barkousaraie United States
Qiong Xu China
William C. Sleeman United States
Yoshinori Tanabe Japan
Haibin Chen China
Jun Tan relative to V. Krishnaswamy United States V. Krishnaswamy's profile →
Citations per field
00.5×10×20×30×43×
V. Krishnaswamy · 1×
Citations per year

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015116
2 201598
3 201894
4 201545
5 200328
6 201726
7 200521
8 201719
9 200617
10 200915
11 202413
12 201412
13 200512
14 201411
15 201210
16 20159
17 20229
18 20078
19 20218
20 20147

About Jun Tan

Jun Tan is a scholar working on Radiation, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 639 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (19 papers), Wireless Communication Networks Research (7 papers), Radiation Therapy and Dosimetry (5 papers), Advanced Wireless Communication Techniques (5 papers), Radiation Dose and Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Semiconductor Lasers and Optical Devices (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Radiation (269 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Health Informatics (8 citations), Computer Networks and Communications (103 citations) and Management Science and Operations Research (53 citations). Jun Tan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lindsey Olsen, G.L. Stüber, Satomi Shiraishi, Kevin L. Moore, Sasa Mutic, Shiyong Chen, Yang Yu, Qing Da, Jeff M. Michalski and Kevin L. Moore. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, Physics in Medicine and Biology and Personal and Ubiquitous Computing.

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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