Lin Yan

56 papers receiving 547 citations

Peers

Lin Yan
Comparison fields: 5 of 102
  • Industrial and Manufacturing Engineering 76
  • Computer Graphics and Computer-Aided Design 24
  • Computational Theory and Mathematics 95
  • Biophysics 28
  • Computer Vision and Pattern Recognition 97
Replace Gábor Renner with:
Gábor Renner Hungary
Adrião Duarte Dória Neto Brazil
Jian Zhao China
Mohsin Ali United States
M. Arafa Egypt
Weijie Yu China
Hira Zaheer India
Mohammed El Hassouni Morocco
Yi Xiao China
Lin Yan relative to Gábor Renner Hungary Gábor Renner's profile →
Citations per field
00.5×6.9×
Gábor Renner · 1×
Citations per year

Countries citing papers authored by Lin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Yan, 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 Yan Line = papers co-authored together Lin Yan 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 2017108
2 202144
3 201636
4 201932
5 202131
6 200528
7 200726
8 202021
9 201421
10 201814
11
Current status and development trend of power quality monitoring system
201513
12 202113
13 202013
14 201713
15 202311
16 202211
17 201710
18 20179
19 20078
20 20217

About Lin Yan

Lin Yan is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Biomedical Engineering, Computational Theory and Mathematics and Aerospace Engineering, having authored 62 papers that have together received 564 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Topological and Geometric Data Analysis (6 papers), Optimization and Packing Problems (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and Fluid Dynamics Simulations and Interactions (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (76 citations), Computer Graphics and Computer-Aided Design (24 citations), Computational Theory and Mathematics (95 citations), Biophysics (28 citations) and Computer Vision and Pattern Recognition (97 citations). Lin Yan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Gaohong He, Junjiang Bao, Bei Wang, Ruixiang Zhang, Ning Zhang, JI Zhuo-shang, Ingrid Hotz, Heng Huang, Weiying Zhang and Hua Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Ocean Engineering, The Journal of Engineering and International Journal of Psychology.

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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