Nan Hong

718 citations
22 papers · 455 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced X-ray and CT Imaging (5 papers)Bone Tumor Diagnosis and Treatments (4 papers)
Partner nations
ChinaCanadaNetherlands

In The Last Decade

Nan Hong

20 papers receiving 454 citations

Peers

Nan Hong
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 221
  • Pulmonary and Respiratory Medicine 130
  • Biomedical Engineering 108
  • Epidemiology 96
  • Surgery 85
Replace Yasmeen K. Tandon with:
Yasmeen K. Tandon United States
Flávia Paiva Proença Lobo Lopes Brazil
Igino Simonetti Italy
Michael A. Fischer Switzerland
Xinwei Tao China
Giuliano Gagliardi Italy
Jin Young Yoo South Korea
M Caratozzolo Italy
Maria Paula Fernandez United States
Faeze Salahshour Iran
Nan Hong relative to Yasmeen K. Tandon United States Yasmeen K. Tandon's profile →
Citations per field
00.5×
Yasmeen K. Tandon · 1×
Citations per year

Countries citing papers authored by Nan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Nan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Hong. A scholar is included among the top collaborators of Nan Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nan Hong. Nan Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 6
5 2
6 7
7 15
8 19
9 9
10 1
11 19
12 25
13 36
14 56
15 101
16 7
17 90
18 20
19 25
20
[The investigation of clinical images of 88 hospital staff with SARS].
1

About Nan Hong

Nan Hong is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 22 papers that have together received 455 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (5 papers) and Bone Tumor Diagnosis and Treatments (4 papers). The work is most often cited by research in Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Rheumatology (82 citations). Nan Hong has collaborated with scholars based in China, Canada and Netherlands. Frequent co-authors include Ning Mao, Chao Sun, Jiangfen Wu, Lei Chen, Ping Yin, Ping Yin, Chao Zhao, Sicong Wang, Chao Zhao and Wanqing Liao. Their work appears in journals such as Journal of Magnetic Resonance Imaging, BMJ Open and The Journal of Arthroplasty.

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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