Jin-Fu Li

2.0k total citations
135 papers, 1.6k citations indexed

About

Jin-Fu Li is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Jin-Fu Li has authored 135 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Electrical and Electronic Engineering, 92 papers in Hardware and Architecture and 24 papers in Computer Networks and Communications. Recurrent topics in Jin-Fu Li's work include VLSI and Analog Circuit Testing (82 papers), Integrated Circuits and Semiconductor Failure Analysis (53 papers) and Semiconductor materials and devices (31 papers). Jin-Fu Li is often cited by papers focused on VLSI and Analog Circuit Testing (82 papers), Integrated Circuits and Semiconductor Failure Analysis (53 papers) and Semiconductor materials and devices (31 papers). Jin-Fu Li collaborates with scholars based in Taiwan, China and Singapore. Jin-Fu Li's co-authors include Cheng‐Wen Wu, Yu-Jen Huang, Chih-Tsun Huang, Chi-Feng Wu, Rei-Fu Huang, Jen-Chieh Yeh, Yung-Fa Chou, Ding-Ming Kwai, Kevin Kuan‐Shun Chiu and Kuo-Liang Cheng and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Journal of Alloys and Compounds and IEEE Transactions on Electron Devices.

In The Last Decade

Jin-Fu Li

128 papers receiving 1.5k citations

Peers

Jin-Fu Li
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 1.3k
  • Hardware and Architecture 1.1k
  • Computer Networks and Communications 396
  • Biomedical Engineering 84
  • Automotive Engineering 61
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Citations per field, relative to Jin-Fu Li
Jin-Fu Li · 1×
Citations per year, relative to Jin-Fu Li
Jin-Fu Li · 1×

Countries citing papers authored by Jin-Fu Li

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Fu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Fu Li. 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-Fu Li. The network helps show where Jin-Fu Li may publish in the future.

Co-authorship network of co-authors of Jin-Fu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Fu Li. A scholar is included among the top collaborators of Jin-Fu Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin-Fu Li. Jin-Fu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 0
4 8
5 16
6 3
7 1
8 1
9 50
10 1
11 12
12 32
13 4
14 21
15 3
16 8
17 7
18
[Epidemiological investigation of Taenia saginata asiatica in Duyun, Guizhou and detection of amino acids and elements of adult worms].
2
19 7
20 28

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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