Chen‐Chia Chuang

1.6k citations
72 papers · 1.2k · h-index 15

Impact in

Papers in

Chen‐Chia Chuang

63 papers receiving 1.2k citations

Peers

Chen‐Chia Chuang
Comparison fields: 5 of 108
  • Statistics and Probability 207
  • Artificial Intelligence 705
  • Control and Systems Engineering 410
  • Computer Vision and Pattern Recognition 224
  • Management Science and Operations Research 104
Replace Ferenc Szeifert with:
Ferenc Szeifert Hungary
Takashi Onoda Japan
Mojtaba Ahmadieh Khanesar Iran
H. Ichihashi Japan
Pei-Yi Hao Taiwan
Antonio González Spain
Olivia D. Mendoza Mexico
Xinjun Peng China
Markos Markou United Kingdom
Piotr Kulczycki Poland
Chen‐Chia Chuang relative to Ferenc Szeifert Hungary Ferenc Szeifert's profile →
Citations per field
00.5×2×2.7×
Ferenc Szeifert · 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 25 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006178
2 2002150
3 2000129
4 2002107
5 200198
6 200375
7 200966
8 200754
9 200745
10 201140
11 200433
12 200821
13 200416
14 201915
15 201015
16 201014
17 202214
18 201912
19 200611
20 20109

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 Computational Theory and Mathematics, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Fuzzy Logic and Control Systems (20 papers), Fuzzy Systems and Optimization (11 papers), Advanced Algorithms and Applications (8 papers), Fault Detection and Control Systems (8 papers), Face and Expression Recognition (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Statistics and Probability (207 citations), Artificial Intelligence (705 citations), Control and Systems Engineering (410 citations), Computer Vision and Pattern Recognition (224 citations) and Management Science and Operations Research (104 citations). Chen‐Chia Chuang has collaborated with scholars based in Taiwan, Argentina and Yemen. Frequent co-authors include Shun‐Feng Su, Zne-Jung Lee, Kuan‐Hung Liu, Chin‐Wang Tao, Tsu‐Tian Lee, Chun‐Ching Hsiao, Chih‐Ming Chen, Cheng‐Jian Lin, Huan-Ming Chuang and Hsu‐Chih Huang. Their work appears in journals such as International Journal of Fuzzy Systems, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Applied Soft Computing, Applied Sciences and Neurocomputing.

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