Fang‐Cheng Lin

45 papers receiving 549 citations

Peers

Fang‐Cheng Lin
Comparison fields: 5 of 48
  • Media Technology 149
  • Computer Vision and Pattern Recognition 280
  • Atomic and Molecular Physics, and Optics 407
  • Human-Computer Interaction 46
  • Acoustics and Ultrasonics 7
Replace Edward Buckley with:
Edward Buckley United States
Kenichiro Masaoka Japan
Jun Someya Japan
Yukihiro Nishida Japan
Erno H. A. Langendijk Netherlands
Brian H. Berkeley South Korea
Adrian Travis United Kingdom
Masayuki Sugawara Japan
Hitoshi Ohzu Japan
Vladimir Saveljev South Korea
Fang‐Cheng Lin relative to Edward Buckley United States Edward Buckley's profile →
Citations per field
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Edward Buckley · 1×
Citations per year

Countries citing papers authored by Fang‐Cheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Cheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200890
2 200964
3 200954
4 201244
5 201037
6 201130
7 200727
8 201725
9 201124
10 201021
11 201819
12 201117
13 200816
14 201114
15 200710
16 201110
17 20189
18 20129
19 20088
20 20158

About Fang‐Cheng Lin

Fang‐Cheng Lin is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology and Electrical and Electronic Engineering, having authored 49 papers that have together received 624 indexed citations. Recurring topics across this work include Color Science and Applications (31 papers), Image Enhancement Techniques (19 papers), Advanced Optical Imaging Technologies (12 papers), Visual perception and processing mechanisms (9 papers), Surface Roughness and Optical Measurements (7 papers), Image and Video Quality Assessment (7 papers), Electrowetting and Microfluidic Technologies (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Media Technology (149 citations), Computer Vision and Pattern Recognition (280 citations), Atomic and Molecular Physics, and Optics (407 citations), Human-Computer Interaction (46 citations) and Acoustics and Ultrasonics (7 citations). Fang‐Cheng Lin has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Yi‐Pai Huang, Han‐Ping D. Shieh, Han-Ping D. Shieh, Erno H. A. Langendijk, Ching‐Ming Wei, Yuning Zhang, Chun‐Ho Chen, Cheng‐Yu Liao, H.-P.D. Shieh and Zong Qin. Their work appears in journals such as Journal of Display Technology, Journal of the Society for Information Display, Journal of Nanoscience and Nanotechnology, ACS Applied Materials & Interfaces and IEEE photonics journal.

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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