Kuang-Yu Chang

895 total citations
22 papers, 659 citations indexed

About

Kuang-Yu Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kuang-Yu Chang has authored 22 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kuang-Yu Chang's work include Face and Expression Recognition (9 papers), Face recognition and analysis (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kuang-Yu Chang is often cited by papers focused on Face and Expression Recognition (9 papers), Face recognition and analysis (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Kuang-Yu Chang collaborates with scholars based in Taiwan, United States and Japan. Kuang-Yu Chang's co-authors include Chu‐Song Chen, Yi‐Ping Hung, Bor‐Chen Kuo, Huei‐Fang Yang, D. L. Judge, Chao Wu, Hok‐Sum Fung, Yanping Chen, Li‐Jen Chen and Yuting Chen and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kuang-Yu Chang

20 papers receiving 631 citations

Peers

Kuang-Yu Chang
Junying Zeng China
Yangsheng Wang China
Chaorong Li China
Gloria Haro Spain
H. Moeini Iran
Long Ma China
Roxana Bujack United States
Philip K. Robertson Australia
Weiping Tu China
Patrick Garda France
Junying Zeng China
Kuang-Yu Chang
Citations per year, relative to Kuang-Yu Chang Kuang-Yu Chang (= 1×) peers Junying Zeng

Countries citing papers authored by Kuang-Yu Chang

Since Specialization
Citations

This map shows the geographic impact of Kuang-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 Kuang-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 Kuang-Yu Chang more than expected).

Fields of papers citing papers by Kuang-Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuang-Yu Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang-Yu Chang. A scholar is included among the top collaborators of Kuang-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 Kuang-Yu Chang. Kuang-Yu 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.
Ho, Yu‐Hsuan, et al.. (2022). Dual inhibition effect of reline deep eutectic solvent on methane hydrate nucleation and formation. Fuel. 328. 125376–125376. 15 indexed citations
2.
Chang, Kuang-Yu, Lee‐Shin Chu, Yenan Chen, et al.. (2020). Effect of Small Cage Guests on Dissociation Properties of Tetrahydrofuran Hydrates. The Journal of Physical Chemistry B. 124(33). 7217–7228. 2 indexed citations
3.
Huang, Pei-Chi, et al.. (2019). Realization of Polarization Control in High-Order Harmonic Generation. 1 indexed citations
4.
Chang, Kuang-Yu, Wing-Kai Hon, & Sharma V. Thankachan. (2018). Compact Encoding for Galled-Trees and Its Applications. Journal of International Crisis and Risk Communication Research. 297–306. 2 indexed citations
5.
Yang, Huei‐Fang, et al.. (2018). Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks. ACM Transactions on Multimedia Computing Communications and Applications. 14(1). 1–18. 16 indexed citations
6.
Chang, Kuang-Yu, et al.. (2017). Reconstructing One-Articulated Networks with Distance Matrices. Journal of Computational Biology. 25(3). 253–269. 1 indexed citations
7.
Chang, Kuang-Yu, et al.. (2017). Aesthetic Critiques Generation for Photos. 28 indexed citations
8.
Chang, Kuang-Yu, et al.. (2016). Image aesthetic assessment via deep semantic aggregation. 232–236. 6 indexed citations
9.
Yang, Huei‐Fang, et al.. (2015). Automatic Age Estimation from Face Images via Deep Ranking. 55.1–55.11. 27 indexed citations
10.
Chang, Kuang-Yu & Chu‐Song Chen. (2015). A Learning Framework for Age Rank Estimation Based on Face Images With Scattering Transform. IEEE Transactions on Image Processing. 24(3). 785–798. 98 indexed citations
11.
Chang, Kuang-Yu & Chu‐Song Chen. (2014). Facial Expression Recognition via Discriminative Dictionary Learning. 54. 464–466. 1 indexed citations
12.
Chang, Kuang-Yu, et al.. (2014). Applying Scattering Operators for Face Recognition: A Comparative Study. 4 indexed citations
13.
Chang, Kuang-Yu, et al.. (2013). Single-Pass K-SVD for Efficient Dictionary Learning. Circuits Systems and Signal Processing. 33(1). 309–320. 4 indexed citations
14.
Chang, Kuang-Yu, Chu‐Song Chen, & Yi‐Ping Hung. (2013). Intensity Rank Estimation of Facial Expressions Based on a Single Image. 3157–3162. 21 indexed citations
15.
Chang, Kuang-Yu, Chu‐Song Chen, & Yi‐Ping Hung. (2011). Ordinal hyperplanes ranker with cost sensitivities for age estimation. 585–592. 246 indexed citations
16.
Chang, Kuang-Yu, Chu‐Song Chen, & Yi‐Ping Hung. (2010). A Ranking Approach for Human Ages Estimation Based on Face Images. 3396–3399. 80 indexed citations
17.
Chen, Yuting, Chu‐Song Chen, Yi‐Ping Hung, & Kuang-Yu Chang. (2009). Multi-class multi-instance boosting for part-based human detection. 1177–1184. 13 indexed citations
18.
Wu, Chao, et al.. (2007). Fluorescence excitation spectra of the bΠu1, b′Σu+1, cnΠu1, and cn′Σu+1 states of N2 in the 80–100nm region. The Journal of Chemical Physics. 127(8). 84314–84314. 18 indexed citations
19.
Kuo, Bor‐Chen & Kuang-Yu Chang. (2007). Feature Extractions for Small Sample Size Classification Problem. IEEE Transactions on Geoscience and Remote Sensing. 45(3). 756–764. 47 indexed citations
20.

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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