Hui Tan

1.4k citations
46 papers · 944 · h-index 18

Impact in

Papers in

Hui Tan

45 papers receiving 933 citations

Peers

Hui Tan
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 483
  • Radiation 64
  • Pulmonary and Respiratory Medicine 148
  • Hepatology 32
  • Oncology 103
Replace Joseph F. Montebello with:
Joseph F. Montebello United States
Daphne D. D. Rietbergen Netherlands
Jarmo Kulmala Finland
Songbing Qin China
Anna Cividalli Italy
Patrizia Magnani Italy
Jim Zhong United States
Anton G.T. Terwisscha van Scheltinga Netherlands
Lanchun Lu United States
Shen Fu China
Hui Tan relative to Joseph F. Montebello United States Joseph F. Montebello's profile →
Citations per field
00.5×8.4×
Joseph F. Montebello · 1×
Citations per year

Countries citing papers authored by Hui Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 202170
3 201863
4 201558
5 202054
6 202153
7 202137
8 202136
9 202135
10 202134
11 201723
12 201822
13 201721
14 202220
15 202220
16 201819
17 202218
18 202018
19 202317
20 201717

About Hui Tan

Hui Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Molecular Biology, having authored 46 papers that have together received 944 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Aortic aneurysm repair treatments (4 papers), Peptidase Inhibition and Analysis (3 papers), Respiratory Support and Mechanisms (2 papers) and Infectious Aortic and Vascular Conditions (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (483 citations), Radiation (64 citations), Pulmonary and Respiratory Medicine (148 citations), Hepatology (32 citations) and Oncology (103 citations). Hui Tan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Haojun Yu, Pengcheng Hu, Hongcheng Shi, Yiqiu Zhang, Hongcheng Shi, Wujian Mao, Guobing Liu, Hongyan Yin, Xiuli Sui and Jianying Gu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, EJNMMI Physics, Abdominal Radiology, European Radiology 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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