Chang–Hong Fu

671 citations
61 papers · 481 indexed · h-index 14
Topics
Video Coding and Compression Technologies (38 papers)Advanced Vision and Imaging (31 papers)Advanced Image Processing Techniques (16 papers)

In The Last Decade

Chang–Hong Fu

53 papers receiving 468 citations

Peers

Chang–Hong Fu
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 322
  • Signal Processing 306
  • Biomedical Engineering 113
  • Cardiology and Cardiovascular Medicine 46
  • Aerospace Engineering 37
Replace Amar A. El-Sallam with:
Amar A. El-Sallam Australia
Cheong-Fat Chan Hong Kong
Jer‐Ming Chen Singapore
JaeWook Shin South Korea
H. Shaffer United States
N. Malmurugan India
Abdelhani Boukrouche Algeria
Mingui Sun United States
Chang–Hong Fu relative to Amar A. El-Sallam Australia Amar A. El-Sallam's profile →
Citations per field
00.5×3.1×
Amar A. El-Sallam · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 0
5 2
6 4
7 2
8 2
9 0
10 22
11 18
12 18
13 10
14 2
15 6
16 0
17 8
18 4
19 1
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About Chang–Hong Fu

Chang–Hong Fu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 481 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (38 papers), Advanced Vision and Imaging (31 papers) and Advanced Image Processing Techniques (16 papers). The work is most often cited by research in Signal Processing (306 citations), Computer Vision and Pattern Recognition (322 citations) and Biomedical Engineering (113 citations). Chang–Hong Fu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yui‐Lam Chan, Wan-Chi Siu, Sik‐Ho Tsang, Bin Zhang, Hong Hong, Xiaohua Zhu, Weimin Su, Kebin Jia, Changzhi Li and Xiaoguang Liu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Biomedical Engineering.

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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