Nannan Sun

482 citations
4 papers · 337 indexed · 1 hit paper · h-index 2
Topics
Magnetic confinement fusion research (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Sentiment Analysis and Opinion Mining (1 paper)
Partner nations
ChinaArgentinaJapan

In The Last Decade

Nannan Sun

3 papers receiving 326 citations

Hit Papers

Automated pulmonary nodule detection in CT images using d...20182026202020232018100200300

Peers

Nannan Sun
Comparison fields: 5 of 53
  • Radiology, Nuclear Medicine and Imaging 258
  • Pulmonary and Respiratory Medicine 189
  • Artificial Intelligence 113
  • Computer Vision and Pattern Recognition 46
  • Biomedical Engineering 32
Replace Dahua Yu with:
Dahua Yu China
Ahmed Shaffie United States
Yao‐Sian Huang Taiwan
Noha Ghatwary Egypt
Haozhe Jia China
Xiuyuan Xu China
Aaron Wu United States
Vivek Vaidya India
Riqiang Gao United States
Anup Sadhu India
Nannan Sun relative to Dahua Yu China Dahua Yu's profile →
Citations per field
00.5×1.5×2.2×
Dahua Yu · 1×
Citations per year

Countries citing papers authored by Nannan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Nannan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Nannan Sun. A scholar is included among the top collaborators of Nannan Sun 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 Nannan Sun. Nannan Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4
Automated pulmonary nodule detection in CT images using deep convolutional neural networksbreakdown →
330

About Nannan Sun

Nannan Sun is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 4 papers that have together received 337 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (258 citations), Health Informatics (9 citations) and Pulmonary and Respiratory Medicine (189 citations). Nannan Sun has collaborated with scholars based in China, Argentina and Japan. Frequent co-authors include Dongbao Yang, Zhineng Chen, Hongtao Xie, Yongdong Zhang, Jiahao Cao, Lei Jiang, Youwen Sun, Ji Hu, Wenmin Zhang and S. Morita. Their work appears in journals such as Pattern Recognition, Plasma Physics and Controlled Fusion and Nuclear Materials and Energy.

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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