R. Lin

20 papers receiving 251 citations

Peers

R. Lin
Comparison fields: 5 of 55
  • Health Information Management 36
  • Neurology 61
  • Hardware and Architecture 51
  • Computer Graphics and Computer-Aided Design 18
  • Computational Theory and Mathematics 71
Replace Erlin Yao with:
Erlin Yao China
Ahmed M. Alwakeel Saudi Arabia
Hong Ong United States
Kshitij Gupta India
Bernhard H. C. Sputh United Kingdom
Mohamed Abu ElSoud Egypt
Suresh Salankar India
Abdulrahman K. Alnaim Saudi Arabia
José Luis Montaña Spain
R. Lin relative to Erlin Yao China Erlin Yao's profile →
Citations per field
00.5×10×14.2×
Erlin Yao · 1×
Citations per year

Countries citing papers authored by R. Lin

Since Specialization
Citations

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

Fields of papers citing papers by R. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside R. 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 R. Lin Line = papers co-authored together R. Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 199536
3 199525
4 200020
5 199113
6 200211
7 199910
8 19999
9 19948
10 20208
11 19947
12 19937
13 19993
14 20023
15 20011
16 20021
17 19941
18 20021
19 20021
20 20021

About R. Lin

R. Lin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 25 papers that have together received 268 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (11 papers), Advanced Graph Theory Research (6 papers), Embedded Systems Design Techniques (6 papers), Algorithms and Data Compression (6 papers), Complexity and Algorithms in Graphs (6 papers), Low-power high-performance VLSI design (6 papers), Digital Image Processing Techniques (4 papers) and VLSI and Analog Circuit Testing (3 papers). The work is most often cited by research in Health Information Management (36 citations), Neurology (61 citations), Hardware and Architecture (51 citations), Computer Graphics and Computer-Aided Design (18 citations) and Computational Theory and Mathematics (71 citations). R. Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stephan Olariu, Chenhui Yang, Jane Y. Yang, Jin Gou, Nianyin Zeng, J.L. Schwing, Koji Nakano, Cristina M. Pinotti, Albert Y. Zomaya and Kathy Clawson. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, IEEE Access, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Computers & Mathematics with Applications.

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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