S. Sun

5.2k citations
33 papers · 270 · h-index 11

Impact in

  • Radiation top 10%
    • Radiation Detection and Scintillator Technologies
    • Nuclear Physics and Applications
    • Land Use and Ecosystem Services
    • Flood Risk Assessment and Management

Papers in

    • Radiation Detection and Scintillator Technologies 6
    • Nuclear Physics and Applications 5
    • Flood Risk Assessment and Management 3
    • Land Use and Ecosystem Services 3

S. Sun

32 papers receiving 264 citations

Peers

S. Sun
Comparison fields: 5 of 86
  • Radiation 54
  • Global and Planetary Change 82
  • Water Science and Technology 40
  • Environmental Engineering 32
  • Molecular Medicine 7
Replace Xiaojun Ma with:
Xiaojun Ma China
Jian Shan China
Giuseppe La Verde Italy
R.A. Pieritz France
Cristina Caruso Italy
W. Shi China
Atsushi Kawabe Japan
Soo Mee Kim South Korea
Martin Andersen Denmark
J. Kašpar Czechia
S. Sun relative to Xiaojun Ma China Xiaojun Ma's profile →
Citations per field
00.5×
Xiaojun Ma · 1×
Citations per year

Countries citing papers authored by S. Sun

Since Specialization
Citations

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

Fields of papers citing papers by S. Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202337
2 202335
3 201125
4 202323
5 202317
6 201514
7 199713
8 201912
9 202411
10 202311
11 201611
12 20209
13 20238
14 20247
15 20227
16 20164
17 20233
18 20223
19 20203
20 20213

About S. Sun

S. Sun is a scholar working on Radiation, Global and Planetary Change, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 270 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (6 papers), Cryptography and Data Security (5 papers), Nuclear Physics and Applications (5 papers), Medical Imaging Techniques and Applications (5 papers), Flood Risk Assessment and Management (3 papers), Land Use and Ecosystem Services (3 papers), Hydrology and Watershed Management Studies (3 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Radiation (54 citations), Global and Planetary Change (82 citations), Water Science and Technology (40 citations), Environmental Engineering (32 citations) and Molecular Medicine (7 citations). S. Sun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xianqi Zhang, Xiaoping Ouyang, Yu Qi, Haiyang Li, Haiyang Chen, Ruiyu Mi, Baochen Wang, Fang Liu, Yangai Liu and Shengli Liu. Their work appears in journals such as Scientific Reports, Ecological Indicators, Macromolecular Materials and Engineering, Applied Radiation and Isotopes and World Neurosurgery.

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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