Hua-Wen Chang

509 total citations
20 papers, 397 citations indexed

About

Hua-Wen Chang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hua-Wen Chang has authored 20 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hua-Wen Chang's work include Advanced Image Fusion Techniques (13 papers), Image and Video Quality Assessment (12 papers) and Advanced Vision and Imaging (6 papers). Hua-Wen Chang is often cited by papers focused on Advanced Image Fusion Techniques (13 papers), Image and Video Quality Assessment (12 papers) and Advanced Vision and Imaging (6 papers). Hua-Wen Chang collaborates with scholars based in China and Taiwan. Hua-Wen Chang's co-authors include Yong Gan, Minghui Wang, Qiuwen Zhang, Qinggang Wu, Jie Xu, Shuo Yang, Bin Lin, Weiwei Zhang, Kai Chen and Minghui Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, Neurocomputing and IEEE Signal Processing Letters.

In The Last Decade

Hua-Wen Chang

19 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hua-Wen Chang China	9	365	194	61	50	22	20	397
S. Yao Singapore	7	472 1.3×	140 0.7×	93 1.5×	53 1.1×	13 0.6×	24	505
Pradip Paudyal Italy	11	304 0.8×	109 0.6×	43 0.7×	39 0.8×	9 0.4×	16	336
Zhongfu Ye China	6	295 0.8×	127 0.7×	56 0.9×	33 0.7×	9 0.4×	11	369
Joe Yuchieh Lin United States	8	522 1.4×	79 0.4×	147 2.4×	27 0.5×	15 0.7×	10	561
Balu Adsumilli United States	12	497 1.4×	137 0.7×	99 1.6×	18 0.4×	8 0.4×	38	546
Hadi Hadizadeh Canada	11	422 1.2×	62 0.3×	68 1.1×	25 0.5×	20 0.9×	39	470
Marco V. Bernardo Portugal	9	288 0.8×	89 0.5×	88 1.4×	105 2.1×	7 0.3×	29	352
André Redert Netherlands	9	352 1.0×	105 0.5×	120 2.0×	15 0.3×	9 0.4×	25	410
Yifan Zuo China	10	358 1.0×	226 1.2×	30 0.5×	30 0.6×	6 0.3×	34	395
Phong V. Vu United States	4	452 1.2×	155 0.8×	50 0.8×	31 0.6×	5 0.2×	8	495

Countries citing papers authored by Hua-Wen Chang

Since Specialization

Citations

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

Fields of papers citing papers by Hua-Wen Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua-Wen Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Wen Chang. A scholar is included among the top collaborators of Hua-Wen 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 Hua-Wen Chang. Hua-Wen 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

Chang, Hua-Wen, et al.. (2022). LG-IQA: Integration of local and global features for no-reference image quality assessment. Displays. 75. 102334–102334. 7 indexed citations

Chang, Hua-Wen, et al.. (2022). Image Quality Evaluation Based on Gradient, Visual Saliency, and Color Information. International Journal of Digital Multimedia Broadcasting. 2022. 1–10. 4 indexed citations

Chang, Hua-Wen, et al.. (2022). FQA-Net: an efficient neural network for blind image quality assessment. Journal of Electronic Imaging. 31(6). 1 indexed citations

Chang, Hua-Wen, et al.. (2022). Lg-Iqa: Integration of Local and Global Features for No-Reference Image Quality Assessment. SSRN Electronic Journal. 1 indexed citations

Chang, Hua-Wen, et al.. (2021). Blind Image Quality Assessment by Fast Quality Assessment Network. 19. 38–43. 1 indexed citations

Chang, Hua-Wen, et al.. (2021). Color Image Quality Evaluation based on Visual Saliency and Gradient Information. 56. 64–72. 3 indexed citations

Chang, Hua-Wen, et al.. (2021). Blind Image Quality Assessment by Visual Neuron Matrix. IEEE Signal Processing Letters. 28. 1803–1807. 14 indexed citations

Chang, Hua-Wen, et al.. (2020). Image Quality Measurement by Probabilistic Principal Component Analysis. 138–142.

Zhang, Qiuwen, et al.. (2016). Fast intra mode decision for depth coding in 3D-HEVC. Multidimensional Systems and Signal Processing. 28(4). 1203–1226. 29 indexed citations

10.

Zhang, Qiuwen, et al.. (2016). Adaptive early termination mode decision for 3D-HEVC using inter-view and spatio-temporal correlations. AEU - International Journal of Electronics and Communications. 70(5). 727–737. 8 indexed citations

11.

Chang, Hua-Wen, Qiuwen Zhang, Qinggang Wu, & Yong Gan. (2014). Perceptual image quality assessment by independent feature detector. Neurocomputing. 151. 1142–1152. 55 indexed citations

12.

Zhang, Qiuwen, et al.. (2014). Fast motion and disparity estimation for HEVC based 3D video coding. Multidimensional Systems and Signal Processing. 27(3). 743–761. 14 indexed citations

13.

Wang, Minghui, et al.. (2014). A Fast Kernel Regression Framework for Video Super-Resolution. KSII Transactions on Internet and Information Systems. 8(1). 232–248. 2 indexed citations

14.

Wu, Qinggang, Yong Gan, Bin Lin, Qiuwen Zhang, & Hua-Wen Chang. (2014). An active contour model based on fused texture features for image segmentation. Neurocomputing. 151. 1133–1141. 53 indexed citations

15.

Chang, Hua-Wen, et al.. (2013). Sparse Feature Fidelity for Perceptual Image Quality Assessment. IEEE Transactions on Image Processing. 22(10). 4007–4018. 122 indexed citations

16.

Xu, Jie, Hua-Wen Chang, Shuo Yang, & Minghui Wang. (2012). Fast feature-based video stabilization without accumulative global motion estimation. IEEE Transactions on Consumer Electronics. 58(3). 993–999. 56 indexed citations

17.

Chang, Hua-Wen, et al.. (2012). Sparse feature fidelity for image quality assessment. 1619–1622. 2 indexed citations

18.

Chang, Hua-Wen & Minghui Wang. (2011). Sparse correlation coefficient for objective image quality assessment. Signal Processing Image Communication. 26(10). 577–588. 13 indexed citations

19.

Lee, Pei‐Jun, et al.. (2011). Coding mode determination using fuzzy reasoning in H.264 motion estimation. IET Signal Processing. 5(2). 242–250. 4 indexed citations

20.

Chang, Hua-Wen, et al.. (2007). Image fusion based on addition of wavelet coefficients. 25. 1585–1588. 8 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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