Sun Qun

48 papers receiving 683 citations

Peers

Sun Qun
Comparison fields: 5 of 107
  • Tourism, Leisure and Hospitality Management 43
  • Aging 47
  • Food Science 172
  • Plant Science 304
  • Biochemistry 38
Replace Anne Fennell with:
Anne Fennell United States
Huaifeng Liu China
Élie Maza France
Nicola Cooley Australia
Hu Jin China
Dik Hagenbeek Belgium
Yizhi Cai United Kingdom
Theo Knijnenburg United States
Chris Triggs New Zealand
Catherine Mathé France
Sun Qun relative to Anne Fennell United States Anne Fennell's profile →
Citations per field
00.5×9.4×
Anne Fennell · 1×
Citations per year

Countries citing papers authored by Sun Qun

Since Specialization
Citations

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

Fields of papers citing papers by Sun Qun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998168
2 2005102
3 201178
4 201063
5 201157
6 201141
7 202020
8 202317
9
A Shape Multilevel Description Method and Application in Measuring Geometry Similarity of Multi-scale Spatial Data
201614
10 202112
11
Statistical Characterization of Spectral Reflectances in Human Portraiture.
200111
12
Obstacle effect of continuous cropping on Salvia miltiorrhiza growth
200510
13 202410
14 20249
15
Accuracy Assessment and Comparative Analysis of GlobeLand30 Dataset in Henan Province
20168
16 20137
17 20126
18 20235
19 20225
20 20025

About Sun Qun

Sun Qun is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Ocean Engineering, Food Science and Geography, Planning and Development, having authored 56 papers that have together received 705 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (6 papers), Horticultural and Viticultural Research (6 papers), Automated Road and Building Extraction (6 papers), Geographic Information Systems Studies (6 papers), Color Science and Applications (5 papers), Advanced Computational Techniques and Applications (5 papers), Data Management and Algorithms (4 papers) and Forest, Soil, and Plant Ecology in China (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (43 citations), Aging (47 citations), Food Science (172 citations), Plant Science (304 citations) and Biochemistry (38 citations). Sun Qun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Derek Sieburth, Min Han, Gavin L. Sacks, Ming Shao, Hong Bo Shao, Justine E. Vanden Heuvel, Terry E. Acree, Edward H. Lavin, Mark D. Fairchild and Xiaodong Zhang. Their work appears in journals such as ISPRS International Journal of Geo-Information, American Journal of Enology and Viticulture, International Journal of Applied Earth Observation and Geoinformation, Geocarto International and Cell.

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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