Chia‐Feng Juang

9.1k total citations · 3 hit papers
168 papers, 7.1k citations indexed

About

Chia‐Feng Juang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chia‐Feng Juang has authored 168 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Artificial Intelligence, 48 papers in Control and Systems Engineering and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chia‐Feng Juang's work include Fuzzy Logic and Control Systems (98 papers), Neural Networks and Applications (80 papers) and Metaheuristic Optimization Algorithms Research (29 papers). Chia‐Feng Juang is often cited by papers focused on Fuzzy Logic and Control Systems (98 papers), Neural Networks and Applications (80 papers) and Metaheuristic Optimization Algorithms Research (29 papers). Chia‐Feng Juang collaborates with scholars based in Taiwan, China and United States. Chia‐Feng Juang's co-authors include Chin‐Teng Lin, Chia-Hung Hsu, Chunfeng Lu, Yu‐Cheng Chang, Wei-Yuan Cheng, Yang-Yin Lin, Chia‐Ming Chang, Jiangfeng Cheng, Fei Tao and He Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Chia‐Feng Juang

165 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design

2004 748 citations Chia‐Feng Juang IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) profile →
An online self-constructing neural fuzzy inference network and its applications

1998 720 citations Chia‐Feng Juang, Chin‐Teng Lin IEEE Transactions on Fuzzy Systems profile →
A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms

2002 353 citations Chia‐Feng Juang IEEE Transactions on Fuzzy Systems profile →

Peers

Countries citing papers authored by Chia‐Feng Juang

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Feng Juang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Feng Juang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Feng Juang. A scholar is included among the top collaborators of Chia‐Feng Juang 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 Chia‐Feng Juang. Chia‐Feng Juang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine Learning Applications in Renewable Energy 2025 ·Green energy and technology ·(unknown), (unknown), (unknown), Chia‐Feng Juang	1
2	Deep learning-based glomerulus detection and classification with generative morphology augmentation in renal pathology images 2024 ·Computerized Medical Imaging and Graphics ·Chia‐Feng Juang, Ya‐Wen Chuang, (unknown), I‐Fang Chung, Ying-Chih Lo	5
3	Explainable fuzzy neural network with easy-to-obtain physiological features for screening obstructive sleep apnea-hypopnea syndrome 2021 ·Sleep Medicine ·Chia‐Feng Juang, Chih-Yu Wen, Kai‐Ming Chang, Yu‐Hsuan Chen, Ming‐Feng Wu, Wei‐Chang Huang	12
4	A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems 2013 ·IEEE Transactions on Fuzzy Systems ·Wei-Yuan Cheng, Chia‐Feng Juang	36
5	Fuzzy classifier with support vector learning for image retrieval using a specified object 2012 ·(unknown), Chia‐Feng Juang	1
6	Self-Organizing Interval Type-2 Fuzzy Q-learning for reinforcement fuzzy control 2011 ·Chia-Hung Hsu, Chia‐Feng Juang	4
7	A Locally Recurrent Fuzzy Neural Network With Support Vector Regression for Dynamic System Modeling 2010 ·IEEE Transactions on Fuzzy Systems ·Chia‐Feng Juang, (unknown)	59
8	Dynamic system identification using a Type-2 Recurrent Fuzzy Neural Network 2009 ·Asian Control Conference ·Chia‐Feng Juang, Yang-Yin Lin, I‐Fang Chung	2
9	Reinforcement Interval Type-2 Fuzzy Controller Design by Online Rule Generation and Q-Value-Aided Ant Colony Optimization 2009 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Chia‐Feng Juang, Chia-Hung Hsu	62
10	A Self-Evolving Interval Type-2 Fuzzy Neural Network With Online Structure and Parameter Learning 2008 ·IEEE Transactions on Fuzzy Systems ·Chia‐Feng Juang, (unknown)	257
11	Radar pulse compression for point target and distributed target using neural network 2007 ·Journal of information science and engineering ·(unknown), Chia‐Feng Juang	3
12	Block histogram-based neural fuzzy approach to the segmentation of skin colors 2007 ·Journal of information science and engineering ·Chia‐Feng Juang, (unknown), (unknown)	1
13	Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition 2007 ·IEEE Transactions on Neural Networks ·Chia‐Feng Juang, (unknown), (unknown)	43
14	Altered mRNA expressions of sialyltransferases in ovarian cancers 2005 ·Gynecologic Oncology ·Peng Wang, Wang‐Tso Lee, Chia‐Feng Juang, (unknown), William W. M. Lo, (unknown), S HSIEH, Chung‐Shin Yuan	103
15	Noisy Speech Recognition By Hierarchical Recurrent Neural Fuzzy Networks 2005 ·Chia‐Feng Juang, (unknown), (unknown)	3
16	A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design breakdown → 2004 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Chia‐Feng Juang	748
17	An Automatic Building Approach To Special Takagi‐Sugeno Fuzzy Network For Unknown Plant Modeling And Stable Control 2003 ·Asian Journal of Control ·Chia‐Feng Juang	9
18	Genetic reinforcement learning through symbiotic evolution for fuzzy controller design 2000 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Chia‐Feng Juang, (unknown), Chin‐Teng Lin	162
19	A recurrent self-organizing neural fuzzy inference network 1999 ·IEEE Transactions on Neural Networks ·Chia‐Feng Juang, Chin‐Teng Lin	246
20	An adaptive neural fuzzy filter and its applications 1997 ·IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ·Chin‐Teng Lin, Chia‐Feng Juang	63

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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