Yulin He

525 citations
32 papers · 347 indexed · h-index 8
Topics
Advanced Neural Network Applications (5 papers)Force Microscopy Techniques and Applications (3 papers)Domain Adaptation and Few-Shot Learning (3 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionIEEE Transactions on Image Processing
Partner nations
ChinaGermanyAustralia

In The Last Decade

Yulin He

27 papers receiving 332 citations

Peers

Yulin He
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 108
  • Artificial Intelligence 90
  • Information Systems 68
  • Biomedical Engineering 63
  • Radiology, Nuclear Medicine and Imaging 62
Replace Yessi Jusman with:
Yessi Jusman Indonesia
Shijia Liu China
M. Saïdi Algeria
G. Sathish Kumar India
Wujun Li China
Hamza Ahmad Madni Pakistan
Hongya Lu United States
Kamel H. Rahouma Egypt
Md. Abdul Based Bangladesh
Yulin He relative to Yessi Jusman Indonesia Yessi Jusman's profile →
Citations per field
00.5×1.5×
Yessi Jusman · 1×
Citations per year

Countries citing papers authored by Yulin He

Since Specialization
Citations

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

Fields of papers citing papers by Yulin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulin He

This figure shows the co-authorship network connecting the top 25 collaborators of Yulin He. A scholar is included among the top collaborators of Yulin He 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 Yulin He. Yulin He 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 0
2 0
3 2
4 1
5 0
6 14
7 0
8 6
9 19
10 2
11 62
12 6
13 7
14 1
15 119
16 1
17 3
18 18
19 1
20 9

About Yulin He

Yulin He is a scholar working on Computer Vision and Pattern Recognition, Developmental Biology and Artificial Intelligence, having authored 32 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Force Microscopy Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Neurology (28 citations) and Information Systems (68 citations). Yulin He has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Xin Luo, Chen Li, Zhenning Wu, Yusong Tan, Lixing Wang, Yuanming Gao, Wei Chen, Fei Li, Dongxian Zhang and Yi Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production 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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