Chen‐Chia Chuang

1.5k citations
63 papers · 1.1k · h-index 14

Impact in

Papers in

Chen‐Chia Chuang

54 papers receiving 1.1k citations

Peers

Chen‐Chia Chuang
Comparison fields: 5 of 106
  • Statistics and Probability 193
  • Artificial Intelligence 639
  • Control and Systems Engineering 384
  • Computer Vision and Pattern Recognition 194
  • Management Science and Operations Research 95
Replace Claudia I. González with:
Claudia I. González Mexico
José Soria Mexico
道夫 菅野
Takashi Onoda Japan
Mauricio A. Sanchez Mexico
Olivia Mendoza Mexico
Pei-Yi Hao Taiwan
Hidetomo Ichihashi Japan
M. Markou United Kingdom
Xinjun Peng China
Chen‐Chia Chuang relative to Claudia I. González Mexico Claudia I. González's profile →
Citations per field
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Claudia I. González · 1×
Citations per year

Countries citing papers authored by Chen‐Chia Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Chia Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Chia Chuang. 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 Chen‐Chia Chuang. The network helps show where Chen‐Chia Chuang may publish in the future.

Co-authors

The 24 scholars most cited alongside Chen‐Chia Chuang, 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 Chen‐Chia Chuang Line = papers co-authored together Chen‐Chia Chuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006152
2 2002148
3 2000113
4 2002100
5 200191
6 200371
7 200962
8 200748
9 200743
10 201138
11 200431
12 200821
13 200416
14 201913
15 201013
16 201012
17 200611
18 202210
19 20109
20 20198

About Chen‐Chia Chuang

Chen‐Chia Chuang is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (17 papers), Fuzzy Systems and Optimization (10 papers), Fault Detection and Control Systems (8 papers), Face and Expression Recognition (7 papers), Advanced Algorithms and Applications (7 papers), Rough Sets and Fuzzy Logic (6 papers) and Advanced Clustering Algorithms Research (5 papers). The work is most often cited by research in Statistics and Probability (193 citations), Artificial Intelligence (639 citations), Control and Systems Engineering (384 citations), Computer Vision and Pattern Recognition (194 citations) and Management Science and Operations Research (95 citations). Chen‐Chia Chuang has collaborated with scholars based in Taiwan, Yemen and United States. Frequent co-authors include Ye‐Qiong Song, Shun‐Feng Su, Zne-Jung Lee, Kuan‐Hung Liu, Chin‐Wang Tao, Tsu‐Tian Lee, Chun‐Ching Hsiao, Chih‐Ming Chen, Yeong‐Hwa Chang and Huan-Ming Chuang. Their work appears in journals such as Applied Soft Computing, International Journal of Fuzzy Systems, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Neurocomputing and Expert Systems 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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