Deyu Sun

37 papers receiving 348 citations

Peers

Deyu Sun
Comparison fields: 5 of 73
  • Health Informatics 12
  • Cancer Research 52
  • Cardiology and Cardiovascular Medicine 76
  • Hepatology 10
  • Epidemiology 43
Replace Sungwon Lee with:
Sungwon Lee United States
Ibrahim N. Muhsen United States
Shiue‐Wei Lai Taiwan
Iain S. Forrest United States
Maria Teresa Vietri Italy
Gareth Bryson United Kingdom
Joan Walter Switzerland
Sean R. Landman United States
Tianyun Fu China
Jing Zheng China
Deyu Sun relative to Sungwon Lee United States Sungwon Lee's profile →
Citations per field
00.5×4.8×
Sungwon Lee · 1×
Citations per year

Countries citing papers authored by Deyu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deyu Sun, 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 Deyu Sun Line = papers co-authored together Deyu Sun 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 201845
2 202041
3 201528
4 202327
5 202120
6 201817
7 201817
8 201317
9
Clinical efficacy of albendazole emulsion in treatment of 212 cases of liver cystic hydatidosis.
200216
10 201915
11 201515
12 202013
13 201111
14 20189
15 20239
16 20186
17 20216
18 20085
19
Anatomic surface reconstruction from sampled point cloud data and prior models.
20144
20
Causal Phenotyping for Susceptibility to Cardiotoxicity from Antineoplastic Breast Cancer Medications.
20174

About Deyu Sun

Deyu Sun is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 352 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Surgical Simulation and Training (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Health Informatics (12 citations), Cancer Research (52 citations), Cardiology and Cardiovascular Medicine (76 citations), Hepatology (10 citations) and Epidemiology (43 citations). Deyu Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Victor Mor‐Avi, Roberto M. Lang, JoAnn A. Giaconi, Kalie Kebed, Jiquan Liu, Huilong Duan, Amit R. Patel, Nina Rashedi, Husam H. Balkhy and Karima Addetia. Their work appears in journals such as Journal of the American College of Cardiology, International journal of cardiac imaging, World Journal of Surgical Oncology, The International Journal of Cardiovascular Imaging and The Journal of Gene Medicine.

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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