Yijun Sun

505 citations
26 papers · 357 indexed · h-index 6
Topics
Acupuncture Treatment Research Studies (6 papers)Musculoskeletal pain and rehabilitation (4 papers)Spine and Intervertebral Disc Pathology (4 papers)

In The Last Decade

Yijun Sun

22 papers receiving 350 citations

Peers

Yijun Sun
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 136
  • Artificial Intelligence 130
  • Molecular Biology 83
  • Media Technology 21
  • Pharmacology 20
Replace Xiang-Zhen Kong with:
Xiang-Zhen Kong China
Haiwei Pan China
Xuanyu Wu China
Hazem Hiary Jordan
Dongyuan Li China
Hasan Oğul Türkiye
Jing Xue China
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Yijun Sun relative to Xiang-Zhen Kong China Xiang-Zhen Kong's profile →
Citations per field
00.5×1.5×2.3×
Xiang-Zhen Kong · 1×
Citations per year

Countries citing papers authored by Yijun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yijun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijun Sun

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 0
5 1
6 4
7 11
8 7
9 25
10 3
11 2
12
[Clinical research of shoulder-arm pain of cervical spondylotic radiculopathy treated with acupunc- ture based on the axillary nerve distribution].
3
13 2
14 1
15 0
16 6
17 1
18 2
19 264
20 8

About Yijun Sun

Yijun Sun is a scholar working on Complementary and alternative medicine, Pharmacology and Energy Engineering and Power Technology, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (6 papers), Musculoskeletal pain and rehabilitation (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Artificial Intelligence (130 citations) and Media Technology (21 citations). Yijun Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Siniša Todorović, Steve Goodison, Yao-chi Wu, William W. Hager, Jie Ye, Hongshen Wang, Junming Ma, Dan Wang, Mengchen Yin and Chongqing Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Construction and Building Materials.

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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