Sheng-Fuu Lin

471 total citations
29 papers, 330 citations indexed

About

Sheng-Fuu Lin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheng-Fuu Lin has authored 29 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 9 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheng-Fuu Lin's work include Fuzzy Logic and Control Systems (7 papers), Stability and Control of Uncertain Systems (7 papers) and Neural Networks and Applications (6 papers). Sheng-Fuu Lin is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Stability and Control of Uncertain Systems (7 papers) and Neural Networks and Applications (6 papers). Sheng-Fuu Lin collaborates with scholars based in Taiwan and United States. Sheng-Fuu Lin's co-authors include Dah‐Jing Jwo, Chi-Hung Hwang, Chin‐Chia Wu, P. R. Kumar and Anping Wang and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Sheng-Fuu Lin

27 papers receiving 314 citations

Peers

Sheng-Fuu Lin
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 151
  • Automotive Engineering 140
  • Artificial Intelligence 78
  • Environmental Engineering 63
  • Control and Systems Engineering 50
Replace R. Omar Chavéz-García with:
R. Omar Chavéz-García Switzerland
Norman Mattern Germany
Mirko Meuter Germany
Hyunggi Cho United States
Peide Cai Hong Kong
Jelena Kocić Serbia
Michele Zanin Italy
Dennis Nienhüser Germany
Haibao Yu China
Antonio Prioletti Italy
R. Omar Chavéz-García Switzerland View profile →
Citations per field, relative to Sheng-Fuu Lin
Sheng-Fuu Lin · 1×
Citations per year, relative to Sheng-Fuu Lin
Sheng-Fuu Lin · 1×

Countries citing papers authored by Sheng-Fuu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Fuu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng-Fuu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Fuu Lin. A scholar is included among the top collaborators of Sheng-Fuu Lin 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 Sheng-Fuu Lin. Sheng-Fuu Lin 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 3
2 3
3 10
4 12
5 15
6 32
7 7
8 8
9 1
10 9
11
Efficient model detection in point cloud data based on bag of words classification
2
12 2
13 8
14 12
15
A study on Chinese carbon-signature recognition
1
16 1
17 5
18 2
19
Fuzzy Adaptive Hamming Net for Pattern Clustering.
0
20 17

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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