Yen-Ching Chang

533 total citations
41 papers, 400 citations indexed

About

Yen-Ching Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Yen-Ching Chang has authored 41 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Economics and Econometrics. Recurrent topics in Yen-Ching Chang's work include Complex Systems and Time Series Analysis (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Yen-Ching Chang is often cited by papers focused on Complex Systems and Time Series Analysis (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Yen-Ching Chang collaborates with scholars based in Taiwan and Japan. Yen-Ching Chang's co-authors include Chen‐Peng Chen, Chan‐Cheng Chen, Chia-Wen Huang, Shyang Chang, Ye‐Qiong Song, Hong-Jie Dai, Chi‐Hsin Huang, Richard Tzong‐Han Tsai, Chuan‐Yu Chang and Po‐Ting Lai and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Yen-Ching Chang

34 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yen-Ching Chang Taiwan 9 105 59 51 50 47 41 400
Zhaoxian Zhou United States 9 73 0.7× 95 1.6× 135 2.6× 95 1.9× 12 0.3× 35 416
K. V. Prema India 11 75 0.7× 117 2.0× 133 2.6× 84 1.7× 15 0.3× 55 521
Marcos Gestal Spain 13 32 0.3× 131 2.2× 91 1.8× 59 1.2× 7 0.1× 40 402
Andreas Karwath United Kingdom 17 99 0.9× 258 4.4× 175 3.4× 212 4.2× 9 0.2× 40 768
S. Fazzino Italy 8 58 0.6× 30 0.5× 52 1.0× 219 4.4× 6 0.1× 9 631
N. DeClaris United States 10 111 1.1× 43 0.7× 40 0.8× 153 3.1× 9 0.2× 30 507
Yang Yan China 10 252 2.4× 67 1.1× 114 2.2× 51 1.0× 86 1.8× 56 523
Артур Каримов Russia 16 243 2.3× 84 1.4× 88 1.7× 143 2.9× 2 0.0× 115 867
Xinghao Yang China 15 192 1.8× 70 1.2× 9 0.2× 170 3.4× 69 1.5× 38 741
Mohammad Ali Zare Chahooki Iran 10 281 2.7× 89 1.5× 90 1.8× 281 5.6× 53 1.1× 34 627

Countries citing papers authored by Yen-Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yen-Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Ching 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 Yen-Ching Chang. The network helps show where Yen-Ching Chang may publish in the future.

Co-authorship network of co-authors of Yen-Ching Chang

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

All Works

20 of 20 papers shown
1.
Chang, Yen-Ching. (2025). Multiple-Stream Models for a Single-Modality Dataset with Fractal Dimension Features. Fractal and Fractional. 9(4). 248–248.
2.
Chang, Yen-Ching. (2024). Deep-Learning Estimators for the Hurst Exponent of Two-Dimensional Fractional Brownian Motion. Fractal and Fractional. 8(1). 50–50. 3 indexed citations
3.
Chang, Yen-Ching, et al.. (2024). Texture-Image-Oriented Coverless Data Hiding Based on Two-Dimensional Fractional Brownian Motion. Electronics. 13(20). 4013–4013.
4.
5.
Chang, Yen-Ching & Ye‐Qiong Song. (2023). Classifying Images of Two-Dimensional Fractional Brownian Motion through Deep Learning and Its Applications. Applied Sciences. 13(2). 803–803. 3 indexed citations
6.
Chang, Yen-Ching, et al.. (2023). Pineapples’ Detection and Segmentation Based on Faster and Mask R-CNN in UAV Imagery. Remote Sensing. 15(3). 814–814. 18 indexed citations
7.
Chang, Yen-Ching. (2020). AN EFFICIENT MAXIMUM LIKELIHOOD ESTIMATOR FOR TWO-DIMENSIONAL FRACTIONAL BROWNIAN MOTION. Fractals. 29(1). 2150025–2150025. 4 indexed citations
8.
Chen, Chen‐Peng, Chan‐Cheng Chen, Chia-Wen Huang, & Yen-Ching Chang. (2018). Evaluating Molecular Properties Involved in Transport of Small Molecules in Stratum Corneum: A Quantitative Structure-Activity Relationship for Skin Permeability. Molecules. 23(4). 911–911. 82 indexed citations
9.
Chang, Yen-Ching. (2017). A flexible contrast enhancement method with visual effects and brightness preservation: Histogram planting. Computers & Electrical Engineering. 69. 796–807. 5 indexed citations
10.
Chang, Yen-Ching. (2017). An almost automatic image fusion scheme for balancing clarity and visual effects. Multimedia Tools and Applications. 76(23). 25455–25476.
11.
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13.
Chang, Yen-Ching. (2014). An efficient estimator of Hurst exponent through an autoregressive model with an order selected by data induction. Bio-Medical Materials and Engineering. 24(6). 3557–3568. 3 indexed citations
14.
Chang, Yen-Ching, et al.. (2014). Evaluating image quality using consistent grey relational grade. Engineering Computations. 31(2). 231–249. 3 indexed citations
15.
Chang, Yen-Ching, et al.. (2013). A PSO method for optimal design of PID controller in motion planning of a mobile robot. 134–139. 7 indexed citations
16.
Chang, Yen-Ching, et al.. (2013). Bare bones particle swarm optimization with considering more local best particles. 36. 1105–1108. 3 indexed citations
17.
Chin, Chiun-Li, et al.. (2013). INTELLIGENT BREAST TUMOR DETECTION SYSTEM WITH TEXTURE AND CONTRAST FEATURES. Biomedical Engineering Applications Basis and Communications. 25(3). 1350008–1350008. 1 indexed citations
18.
Chang, Yen-Ching, et al.. (2012). Predicting Skin Permeability of Chemical Substances using a Quantitative Structure-activity Relationship. Procedia Engineering. 45. 875–879. 15 indexed citations
19.
Chang, Polun, et al.. (2012). A Scalable Architecture for Dual Basis GF(2m) Multiplications. 45–50. 1 indexed citations
20.
Tsai, Richard Tzong‐Han, Po‐Ting Lai, Hong-Jie Dai, et al.. (2009). HypertenGene: extracting key hypertension genes from biomedical literature with position and automatically-generated template features. BMC Bioinformatics. 10(S15). S9–S9. 13 indexed citations

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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2026