Chen-Yi Lin

571 citations
34 papers · 463 · h-index 13

Impact in

Papers in

Chen-Yi Lin

32 papers receiving 443 citations

Peers

Chen-Yi Lin
Comparison fields: 5 of 90
  • Software 34
  • Safety, Risk, Reliability and Quality 61
  • Signal Processing 68
  • Condensed Matter Physics 62
  • Statistics and Probability 24
Replace Wei-Ting Kary Chien with:
Wei-Ting Kary Chien China
Jun Kawahara Japan
Ioannis Neokosmidis Greece
Yanzhao Wu United States
José Reinaldo Silva Brazil
Vijay S. Kumar United States
Yuncheng Wu China
Linan Huang United States
Chen-Yi Lin relative to Wei-Ting Kary Chien China Wei-Ting Kary Chien's profile →
Citations per field
00.5×2×4×6×8×9.7×
Wei-Ting Kary Chien · 1×
Citations per year

Countries citing papers authored by Chen-Yi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Yi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200671
2 201546
3 202145
4 201231
5 200128
6 201327
7 199822
8 201921
9 201820
10 202018
11 201517
12 199916
13 201616
14 201812
15 202012
16 200210
17 20169
18 20237
19 20107
20 20155

About Chen-Yi Lin

Chen-Yi Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Signal Processing, having authored 34 papers that have together received 463 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Cryptography and Data Security (3 papers), Data Management and Algorithms (3 papers), Recommender Systems and Techniques (3 papers), Complex Network Analysis Techniques (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Advanced Database Systems and Queries (2 papers). The work is most often cited by research in Software (34 citations), Safety, Risk, Reliability and Quality (61 citations), Signal Processing (68 citations), Condensed Matter Physics (62 citations) and Statistics and Probability (24 citations). Chen-Yi Lin has collaborated with scholars based in Taiwan and China. Frequent co-authors include Ruey Huei Yeh, Jia-Ling Koh, Jen‐Bin Shi, Shawn S. H. Hsu, Arbee L. P. Chen, Han‐Shen Chen, Tung-Shou Chen, Ching Chang, Kuo‐Ning Chiang and Kuangwen Hsieh. Their work appears in journals such as Multimedia Tools and Applications, BMC Ophthalmology, SpringerPlus, Transactions of the ASABE and Physica C Superconductivity.

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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