Jin‐Fa Lin

831 citations
35 papers · 623 · h-index 10

Impact in

Papers in

Jin‐Fa Lin

33 papers receiving 549 citations

Peers

Jin‐Fa Lin
Comparison fields: 5 of 58
  • Hardware and Architecture 64
  • Electrical and Electronic Engineering 455
  • Computational Theory and Mathematics 102
  • Biomedical Engineering 244
  • Analytical Chemistry 43
Replace S. E. D. Habib with:
S. E. D. Habib Egypt
Kevin J. Nowka United States
Debiprasad Priyabrata Acharya India
Hyein Lee United States
Kai Song China
Cheng-Yu Pai Taiwan
Saiful Islam India
Sercan Aygün United States
Adam Molin Germany
Xinghua Yang China
Jin‐Fa Lin relative to S. E. D. Habib Egypt S. E. D. Habib's profile →
Citations per field
00.5×2×4×6.3×
S. E. D. Habib · 1×
Citations per year

Countries citing papers authored by Jin‐Fa Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Fa Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jin‐Fa 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 Jin‐Fa Lin Line = papers co-authored together Jin‐Fa Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 2020101
3 201156
4 201753
5 201341
6 201422
7 201121
8 201820
9 201516
10 201215
11 20189
12 20208
13 20067
14 20197
15 20207
16 20206
17 20116
18 20226
19 20075
20 20215

About Jin‐Fa Lin

Jin‐Fa Lin is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Biomedical Engineering and Signal Processing, having authored 35 papers that have together received 623 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (25 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Analog and Mixed-Signal Circuit Design (11 papers), Quantum-Dot Cellular Automata (10 papers), Advancements in PLL and VCO Technologies (4 papers), VLSI and FPGA Design Techniques (4 papers), VLSI and Analog Circuit Testing (3 papers) and Radio Frequency Integrated Circuit Design (3 papers). The work is most often cited by research in Hardware and Architecture (64 citations), Electrical and Electronic Engineering (455 citations), Computational Theory and Mathematics (102 citations), Biomedical Engineering (244 citations) and Analytical Chemistry (43 citations). Jin‐Fa Lin has collaborated with scholars based in Taiwan, China and Germany. Frequent co-authors include Yin‐Tsung Hwang, Ming‐Hwa Sheu, Fenghua Huang, Ming‐Wei Hsu, Chih-Ming Wu, Po‐Yu Kuo, Suocheng Wei, Christoph Palm, Ching‐Sheng Chang and Ming-Ching Lee. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Electronics Letters, Electronics, Sensors and Analog Integrated Circuits and Signal Processing.

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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