Chang–Hong Fu

107 total papers · 663 total citations
61 papers, 472 citations indexed

About

Chang–Hong Fu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Chang–Hong Fu has authored 61 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 40 papers in Signal Processing and 9 papers in Biomedical Engineering. Recurrent topics in Chang–Hong Fu's work include Video Coding and Compression Technologies (38 papers), Advanced Vision and Imaging (31 papers) and Advanced Image Processing Techniques (16 papers). Chang–Hong Fu is often cited by papers focused on Video Coding and Compression Technologies (38 papers), Advanced Vision and Imaging (31 papers) and Advanced Image Processing Techniques (16 papers). Chang–Hong Fu collaborates with scholars based in Hong Kong, China and United States. Chang–Hong Fu's co-authors include Yui‐Lam Chan, Wan-Chi Siu, Sik‐Ho Tsang, Bin Zhang, Hong Hong, Xiaohua Zhu, Kebin Jia, Weimin Su, Xiaoguang Liu and E Wang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Chang–Hong Fu

52 papers receiving 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chang–Hong Fu	319	305	110	46	37	61	472
Wen-Jiin Tsai	356 1.1×	121 0.4×	103 0.9×	39 0.8×	25 0.7×	45	487
Amar A. El-Sallam	270 0.8×	98 0.3×	43 0.4×	15 0.3×	19 0.5×	40	408
Imtiaz Ahmad Taj	296 0.9×	148 0.5×	46 0.4×	19 0.4×	58 1.6×	64	512
Pengcheng Shi	286 0.9×	58 0.2×	89 0.8×	43 0.9×	38 1.0×	53	499
Taikang Ning	48 0.2×	129 0.4×	77 0.7×	96 2.1×	32 0.9×	66	449
Alice N. Cheeran	59 0.2×	79 0.3×	91 0.8×	41 0.9×	111 3.0×	59	412
Majid Komeili	165 0.5×	83 0.3×	72 0.7×	105 2.3×	7 0.2×	33	425
Liquan Dong	277 0.9×	28 0.1×	125 1.1×	40 0.9×	75 2.0×	92	537
JaeWook Shin	33 0.1×	322 1.1×	76 0.7×	52 1.1×	39 1.1×	38	471
Louis Shue	80 0.3×	134 0.4×	61 0.6×	80 1.7×	72 1.9×	30	420

Countries citing papers authored by Chang–Hong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Chang–Hong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang–Hong Fu. 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 Chang–Hong Fu. The network helps show where Chang–Hong Fu may publish in the future.

Co-authorship network of co-authors of Chang–Hong Fu

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

All Works

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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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