Chin-Chin Lin

968 citations
17 papers · 739 · 1 hit paper · h-index 8

Impact in

Papers in

Chin-Chin Lin

15 papers receiving 670 citations

Chin-Chin Lin's Hit Papers

Neural fuzzy systems 1994 · 613 citations
6130+10+21Years since publication200400600

Peers

Chin-Chin Lin
Comparison fields: 5 of 104
  • Control and Systems Engineering 233
  • Artificial Intelligence 315
  • Computer Vision and Pattern Recognition 129
  • Management Science and Operations Research 50
  • Computational Theory and Mathematics 59
Replace X.Z. Gao with:
X.Z. Gao Finland
Xian-Bing Meng China
Shang-Jeng Tsai Taiwan
Chang Sun China
Pei-hong Wang China
M. Senthil Arumugam Malaysia
Ioan-Daniel Borlea Romania
Zhi‐gang Su China
M. Khalid Malaysia
Mário Garcia United States
Chin-Chin Lin relative to X.Z. Gao Finland X.Z. Gao's profile →
Citations per field
00.5×2.9×
X.Z. Gao · 1×
Citations per year

Countries citing papers authored by Chin-Chin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Chin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Chin-Chin 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 Chin-Chin Lin Line = papers co-authored together Chin-Chin Lin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Neural fuzzy systems
Hit paper breakdown →
1994613
2 200623
3
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
200621
4 200520
5 200517
6 200511
7 200410
8 20078
9
Transactions on Fuzzy Systems
20146
10 20033
11 20063
12 20051
13 20071
14 20051
15 20061
16 20070
17 20040

About Chin-Chin Lin

Chin-Chin Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Signal Processing, having authored 17 papers that have together received 739 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (6 papers), Face and Expression Recognition (4 papers), Handwritten Text Recognition Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Control Systems Design (3 papers), Machine Learning and Data Classification (3 papers), Algorithms and Data Compression (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Control and Systems Engineering (233 citations), Artificial Intelligence (315 citations), Computer Vision and Pattern Recognition (129 citations), Management Science and Operations Research (50 citations) and Computational Theory and Mathematics (59 citations). Chin-Chin Lin has collaborated with scholars based in Taiwan. Frequent co-authors include Fu Chang, Chien-Hsing Chou, Chun‐Jen Chen, Chi-Jen Lu, Leehter Yao, Wen‐Lian Hsu, Cheng‐Han Lin and Lei Yao. Their work appears in journals such as Pattern Recognition, Multimedia Systems, Journal of Machine Learning Research, Zenodo (CERN European Organization for Nuclear Research) and Dialnet (Universidad de la Rioja).

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.

Explore authors with similar magnitude of impact