Xin Sun

9.9k citations
282 papers · 6.2k indexed · 4 hit papers · h-index 41

Impact in

Papers in

Xin Sun

254 papers receiving 6.0k citations

Hit Papers

Applications of deep learning in precision weed management: A review 2023 · 128 citations
1282010202620152020250500750

Peers

Xin Sun
Comparison fields: 5 of 183
  • Computer Vision and Pattern Recognition 1.5k
  • Computer Graphics and Computer-Aided Design 224
  • Artificial Intelligence 1.4k
  • Aerospace Engineering 1.0k
  • Oceanography 496
Replace Shengyong Chen with:
Shengyong Chen China
Nathan S. Netanyahu United States
Junyu Dong China
Sherjil Ozair United States
Jean Pouget-Abadie United States
Huimin Lu China
Jianfei Cai Singapore
Yujie Li China
Ruth Silverman United States
Angela Y. Wu United States
Xin Sun relative to Shengyong Chen China Shengyong Chen's profile →
Citations per field
00.5×3.8×
Shengyong Chen · 1×
Citations per year

Countries citing papers authored by Xin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20242
5 20240
6 20240
7 20241
8 202312
9 202316
10 20235
11 20237
12 20231
13 202317
14 202144
15 202144
16 2019124
17 201728
18 20163
19 20157
20 20141

About Xin Sun

Xin Sun is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 282 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (29 papers), Advanced Neural Network Applications (20 papers), Advanced Image and Video Retrieval Techniques (19 papers), Complex Network Analysis Techniques (18 papers), Advanced Vision and Imaging (18 papers), Computer Graphics and Visualization Techniques (17 papers), Image Enhancement Techniques (15 papers) and Optical Wireless Communication Technologies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Computer Graphics and Computer-Aided Design (224 citations), Artificial Intelligence (1.4k citations), Aerospace Engineering (1.0k citations) and Oceanography (496 citations). Xin Sun has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junyu Dong, Zhengyu Song, Yuanwei Liu, Tianwei Hou, Yung Hou Wong, Eric W.T. Ngai, Yijun Chen, Yong Hu, Yuting Yang and Huiling Chen. Their work appears in journals such as ACM Transactions on Graphics, IEEE Geoscience and Remote Sensing Letters, Neurocomputing, Knowledge-Based Systems and IEEE Transactions on Communications.

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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