Hui Yan

1.5k citations
67 papers · 1.1k · h-index 17

Impact in

Papers in

    • Advanced Radiotherapy Techniques 51
    • Medical Imaging Techniques and Applications 18
    • Radiomics and Machine Learning in Medical Imaging 7
    • Radiation Dose and Imaging 5
    • Advances in Oncology and Radiotherapy 3

Hui Yan

61 papers receiving 1.1k citations

Peers

Hui Yan
Comparison fields: 5 of 59
  • Radiation 778
  • Radiology, Nuclear Medicine and Imaging 538
  • Health Informatics 17
  • Pulmonary and Respiratory Medicine 311
  • Otorhinolaryngology 16
Replace Taoran Li with:
Taoran Li United States
Poonam Yadav United States
Maarten L.P. Dirkx Netherlands
H. Harold Li United States
Matteo Maspero Netherlands
Wouter Crijns Belgium
Jianrong Dai China
K Bzdusek United States
Rabih Hammoud United States
Marta Paiusco Italy
Hui Yan relative to Taoran Li United States Taoran Li's profile →
Citations per field
00.5×1.7×
Taoran Li · 1×
Citations per year

Countries citing papers authored by Hui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 2012100
3 201998
4 200393
5 200672
6 200269
7 202161
8 200851
9 201450
10 202043
11 202036
12 200833
13 200730
14 200521
15 200820
16 200319
17 202016
18 202215
19 200715
20 200315

About Hui Yan

Hui Yan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (51 papers), Medical Imaging Techniques and Applications (18 papers), Radiation Therapy and Dosimetry (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Radiation Dose and Imaging (5 papers), Digital Radiography and Breast Imaging (4 papers) and Advances in Oncology and Radiotherapy (3 papers). The work is most often cited by research in Radiation (778 citations), Radiology, Nuclear Medicine and Imaging (538 citations), Health Informatics (17 citations), Pulmonary and Respiratory Medicine (311 citations) and Otorhinolaryngology (16 citations). Hui Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include F Yin, Jae Ho Kim, Jae Ho Kim, Yuan Tian, Qiuwen Wu, Munther Ajlouni, Jianfei Liu, Jianrong Dai, Teng Li and Zheng Chang. Their work appears in journals such as Medical Physics, Journal of Applied Clinical Medical Physics, Frontiers in Oncology, Radiation Oncology and Physics in Medicine and Biology.

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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