Chuan‐Yu Chang

5.4k total citations
228 papers, 3.6k citations indexed

About

Chuan‐Yu Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chuan‐Yu Chang has authored 228 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 24 papers in Signal Processing. Recurrent topics in Chuan‐Yu Chang's work include AI in cancer detection (19 papers), Industrial Vision Systems and Defect Detection (18 papers) and Neural Networks and Applications (17 papers). Chuan‐Yu Chang is often cited by papers focused on AI in cancer detection (19 papers), Industrial Vision Systems and Defect Detection (18 papers) and Neural Networks and Applications (17 papers). Chuan‐Yu Chang collaborates with scholars based in Taiwan, India and China. Chuan‐Yu Chang's co-authors include Kathiravan Srinivasan, P. M. Durai Raj Vincent, Pau‐Choo Chung, Hua Zhang, Yueh‐Min Huang, Ching‐Ju Chen, Ya-Yu Huang, Chih‐Chin Lai, Chin‐Hsiao Tseng and Ming‐Fong Tsai and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Chuan‐Yu Chang

209 papers receiving 3.4k citations

Peers

Countries citing papers authored by Chuan‐Yu Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chuan‐Yu Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan‐Yu Chang. 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 Chuan‐Yu Chang. The network helps show where Chuan‐Yu Chang may publish in the future.

Co-authorship network of co-authors of Chuan‐Yu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan‐Yu Chang. A scholar is included among the top collaborators of Chuan‐Yu Chang 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 Chuan‐Yu Chang. Chuan‐Yu Chang 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	Design of stochastic backpropagative autoregressive exogenous neuroarchitectures for predictive analysis of fractional-order nonlinear Rabinovich–Fabrikant chaotic attractors 2025 ·Nonlinear Dynamics ·(unknown), (unknown), (unknown), Chuan‐Yu Chang, Chi‐Min Shu, Adiqa Kausar Kiani, Zeshan Aslam Khan, Muhammad Shoaib, Muhammad Asif Zahoor Raja	0
2	Design of a fractional-order environmental toxin-plankton system in aquatic ecosystems: A novel machine predictive expedition with nonlinear autoregressive neuroarchitectures 2025 ·Water Research ·(unknown), Amir Sultan, Chuan‐Yu Chang, Chi‐Min Shu, Muhammad Shoaib, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja	1
3	Predictive modeling of fractional plankton-assisted cholera propagation dynamics using Bayesian regularized deep cascaded exogenous neural networks 2025 ·Process Safety and Environmental Protection ·(unknown), (unknown), Chuan‐Yu Chang, Chi‐Min Shu, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja	3
4	Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture 2025 ·Computers in Biology and Medicine ·(unknown), (unknown), Chuan‐Yu Chang, Chi‐Min Shu, (unknown), Muhammad Shoaib, Muhammad Asif Zahoor Raja	0
5	Novel design of deep learning knowledge-driven recurrent neurostructure for bioconvective Maxwell nanofluid flow model with convective boundary and variable thermal conductivity 2025 ·The European Physical Journal Plus ·Asma Khan, Muhammad Asif Zahoor Raja, Chuan‐Yu Chang, (unknown), Zeshan Aslam Khan, Muhammad Shoaib, Chi‐Min Shu	1
6	A novel design of cascade neural networks for magnetized nanofluidic model in porous convergent–divergent channels 2025 ·Journal of Thermal Analysis and Calorimetry ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Zeshan Aslam Khan, Chi‐Min Shu	0
7	Bayesian-regularized cascaded neural networks for fractional asymmetric carbon-thermal nutrient-plankton dynamics under global warming and climatic perturbations 2025 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Chuan‐Yu Chang, Chi‐Min Shu, Adiqa Kausar Kiani, Muhammad Asif Zahoor Raja	0
8	Design of intelligent Bayesian regularized deep cascaded NARX neurostructure for predictive analysis of FitzHugh-Nagumo bioelectrical model in neuronal cell membrane 2024 ·Biomedical Signal Processing and Control ·(unknown), (unknown), Chuan‐Yu Chang, Chi‐Min Shu, Adiqa Kausar Kiani, Muhammad Shoaib, Muhammad Asif Zahoor Raja	7
9	Novel machine learning investigation for Buongiorno fluidic model with Sutterby nanomaterial 2024 ·Tribology International ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib	3
10	Design of fractional innate immune response to nonlinear Parkinson's disease model with therapeutic intervention: Intelligent machine predictive exogenous networks 2024 ·Chaos Solitons & Fractals ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Naveed Ishtiaq Chaudhary, (unknown), Chi‐Min Shu	6
11	A machine learning approach for identification of vascular access patency in hemodialysis patients using photoplethysmography: A pilot study 2024 ·The Journal of Vascular Access ·(unknown), (unknown), (unknown), Chuan‐Yu Chang, Chin‐Chung Tseng, Ming‐Long Yeh, (unknown)	0
12	A novel design of layered recurrent neural networks for fractional order Caputo–Fabrizio stiff electric circuit models 2024 ·Modern Physics Letters B ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib	7
13	Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model 2024 ·The European Physical Journal Plus ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Aneela Zameer, Muhammad Shoaib	11
14	Intelligent adaptive nonlinear autoregressive eXogeneous neuro‐structure for ferromagnetic Powell‐Eyring fluidic involving cubic autocatalysis chemical reaction 2024 ·ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik ·(unknown), Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, Muhammad Shoaib	1
15	Hybrid Inception v3 XGBoost Model for Acute Lymphoblastic Leukemia Classification 2021 ·Computational and Mathematical Methods in Medicine ·(unknown), Kathiravan Srinivasan, P. M. Durai Raj Vincent, Chuan‐Yu Chang	71
16	An Efficient Classification of Neonates Cry Using Extreme Gradient Boosting-Assisted Grouped-Support-Vector Network 2021 ·Journal of Healthcare Engineering ·Chuan‐Yu Chang, Sweta Bhattacharya, P. M. Durai Raj Vincent, Kuruva Lakshmanna, Kathiravan Srinivasan	27
17	Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging 2020 ·Remote Sensing ·Shih-Yu Chen, Chuan‐Yu Chang, (unknown), (unknown)	28
18	An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming 2019 ·Electronics ·Celestine Iwendi, P. Suresh, (unknown), Kathiravan Srinivasan, Chuan‐Yu Chang	37
19	An Efficient Implementation of Mobile Raspberry Pi Hadoop Clusters for Robust and Augmented Computing Performance 2018 ·Journal of Information Processing Systems ·Kathiravan Srinivasan, Chuan‐Yu Chang, Chao‐Hsi Huang, (unknown), (unknown), (unknown)	8
20	APPLICATIONS OF BLOCK LINEAR DISCRIMINANT ANALYSIS FOR FACE RECOGNITION 2011 ·J. Inf. Hiding Multim. Signal Process. ·Chuan‐Yu Chang, (unknown), (unknown)	14

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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