Lin He

58 papers receiving 688 citations

Peers

Lin He
Comparison fields: 5 of 104
  • Mathematical Physics 102
  • Computational Mechanics 207
  • Computer Vision and Pattern Recognition 184
  • Computer Graphics and Computer-Aided Design 24
  • Computational Theory and Mathematics 106
Replace Jingmin Dai with:
Jingmin Dai China
Chunlin Wu China
Wenyuan Liao Canada
Tingting Wu China
Yuji Yamada Japan
Lidong Liu China
Curtis F. Gerald
Zhiwen Huang China
Qi He China
Lin He relative to Jingmin Dai China Jingmin Dai's profile →
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Citations per year

Countries citing papers authored by Lin He

Since Specialization
Citations

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

Fields of papers citing papers by Lin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009118
2 2007114
3 200586
4 200561
5 200755
6
MR Image Reconstruction from Sparse Radial Samples Using Bregman Iteration
200639
7 201719
8 200918
9 200917
10 200917
11 200815
12 200714
13 200613
14 201112
15 201512
16 201010
17 20108
18 20208
19 20167
20 20107

About Lin He

Lin He is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Mechanics, Materials Chemistry and Mathematical Physics, having authored 62 papers that have together received 742 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (9 papers), Numerical methods in inverse problems (5 papers), Sparse and Compressive Sensing Techniques (5 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Impact of Light on Environment and Health (4 papers), Luminescence and Fluorescent Materials (4 papers) and Organic Electronics and Photovoltaics (3 papers). The work is most often cited by research in Mathematical Physics (102 citations), Computational Mechanics (207 citations), Computer Vision and Pattern Recognition (184 citations), Computer Graphics and Computer-Aided Design (24 citations) and Computational Theory and Mathematics (106 citations). Lin He has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Stanley Osher, Martin Burger, Carola‐Bibiane Schönlieb, Chiu‐Yen Kao, Min Hu, Xiaoping Tang, Antonio Marquina, Elena Resmerita, Linyong Pang and Danping Peng. Their work appears in journals such as Journal of Computational Physics, Synthetic Metals, The Journal of Engineering, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Surfactants and Detergents.

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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