Hui Yan

1.6k citations
69 papers · 1.2k · h-index 18

Impact in

Papers in

Hui Yan

64 papers receiving 1.2k citations

Peers

Hui Yan
Comparison fields: 5 of 61
  • Radiation 841
  • Radiology, Nuclear Medicine and Imaging 580
  • Pulmonary and Respiratory Medicine 343
  • Health Informatics 17
  • Otorhinolaryngology 17
Replace Taoran Li with:
Taoran Li United States
Jasper Albertus Nijkamp Netherlands
Poonam Yadav United States
H. Harold Li United States
Maarten L.P. Dirkx Netherlands
Michael Jameson Australia
Rabih Wafiq Hammoud Qatar
Yanle Hu United States
Paul Geis United States
Jianrong Dai China
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019137
2 2003104
3 2012101
4 2019100
5 200278
6 200673
7 202167
8 200856
9 201450
10 202047
11 200836
12 202036
13 200733
14 200526
15 200822
16 200321
17 200318
18 202018
19 200717
20 200916

About Hui Yan

Hui Yan is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Biomedical Engineering, having authored 69 papers that have together received 1.2k 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 Management of metastatic bone disease (3 papers). The work is most often cited by research in Radiation (841 citations), Radiology, Nuclear Medicine and Imaging (580 citations), Pulmonary and Respiratory Medicine (343 citations), Health Informatics (17 citations) and Otorhinolaryngology (17 citations). Hui Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include F.-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, Physica Medica and Radiation Oncology.

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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