Yun He

502 citations
31 papers · 284 · h-index 10

Impact in

Papers in

Yun He

28 papers receiving 278 citations

Peers

Yun He
Comparison fields: 5 of 102
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 94
  • Information Systems and Management 31
  • Marketing 36
  • Microbiology 11
Replace Takako Hashimoto with:
Takako Hashimoto Japan
Kleanthi Lakiotaki Greece
Tanya Clement United States
Pete Smith United Kingdom
Pattarasinee Bhattarakosol Thailand
Hidetsugu Nanba Japan
Xiaoguang Wang China
Eddy Maddalena Italy
Katherine Lee United States
Naved Ahmad India
Yun He relative to Takako Hashimoto Japan Takako Hashimoto's profile →
Citations per field
00.5×5.9×
Takako Hashimoto · 1×
Citations per year

Countries citing papers authored by Yun He

Since Specialization
Citations

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

Fields of papers citing papers by Yun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 200330
3 202322
4 201219
5 202218
6 200416
7 200715
8 202314
9 202213
10 202312
11
[Detection of numerical aberrations of chromosomes 7 and 8 in sperms of workers exposed to benzene series by two-color fluorescence in situ hybridization].
20049
12 20227
13 20137
14 20246
15 20244
16 20024
17 20163
18 20033
19 20213
20 20132

About Yun He

Yun He is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Computer Networks and Communications and Mechanical Engineering, having authored 31 papers that have together received 284 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (8 papers), Advanced Data Compression Techniques (7 papers), Advanced Image Processing Techniques (4 papers), Advanced machining processes and optimization (2 papers), Virus-based gene therapy research (2 papers), Image and Video Quality Assessment (2 papers) and Advanced Surface Polishing Techniques (2 papers). The work is most often cited by research in Signal Processing (86 citations), Computer Vision and Pattern Recognition (94 citations), Information Systems and Management (31 citations), Marketing (36 citations) and Microbiology (11 citations). Yun He has collaborated with scholars based in China, United States and France. Frequent co-authors include Wenjie Li, Jiaolong Xue, Junli Zheng, Jianfeng Xu, Jianhua Zheng, Jianwen Chen, Yanlong Xing, Fabiao Yu, Lingzhi Liu and Yunfei Wang. Their work appears in journals such as Vehicular Communications, Chemical Communications, IEEE Transactions on Consumer Electronics, Journal of Integrative Medicine and IEEE Transactions on Image Processing.

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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