King‐Chu Hung

40 papers receiving 367 citations

Peers

King‐Chu Hung
Comparison fields: 5 of 46
  • Signal Processing 117
  • Cardiology and Cardiovascular Medicine 192
  • Computer Vision and Pattern Recognition 180
  • Media Technology 41
  • Biomedical Engineering 168
Replace C. S. Sastry with:
C. S. Sastry India
Bachir Boucheham Algeria
Yuxiang Xie China
Sohail A. Dianat United States
V. S. Chouhan India
Jing Qin China
Sérgio Almeida Brazil
Neetu Sood India
Cheng Wen China
E. Skordalakis Greece
King‐Chu Hung relative to C. S. Sastry India C. S. Sastry's profile →
Citations per field
00.5×3.7×
C. S. Sastry · 1×
Citations per year

Countries citing papers authored by King‐Chu Hung

Since Specialization
Citations

This map shows the geographic impact of King‐Chu Hung'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 King‐Chu Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King‐Chu Hung more than expected).

Fields of papers citing papers by King‐Chu Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King‐Chu Hung. 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 King‐Chu Hung. The network helps show where King‐Chu Hung may publish in the future.

Co-authors

The 22 scholars most cited alongside King‐Chu Hung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with King‐Chu Hung Line = papers co-authored together King‐Chu Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201067
2 200641
3 201423
4 200020
5 200719
6 199819
7 200117
8 198815
9 200914
10 200510
11 201710
12 20089
13 20139
14 20039
15 20179
16 20119
17 20128
18 20207
19 19897
20 20096

About King‐Chu Hung

King‐Chu Hung is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Signal Processing, Biomedical Engineering and Media Technology, having authored 43 papers that have together received 387 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), ECG Monitoring and Analysis (16 papers), Analog and Mixed-Signal Circuit Design (15 papers), Advanced Data Compression Techniques (15 papers), Blind Source Separation Techniques (9 papers), Advanced Image Fusion Techniques (8 papers), Digital Filter Design and Implementation (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Signal Processing (117 citations), Cardiology and Cardiovascular Medicine (192 citations), Computer Vision and Pattern Recognition (180 citations), Media Technology (41 citations) and Biomedical Engineering (168 citations). King‐Chu Hung has collaborated with scholars based in Taiwan, Yemen and Russia. Frequent co-authors include Yu‐Jung Huang, Trieu‐Kien Truong, Chin‐Feng Tsai, Tung-Kuan Liu, Jyh-Horng Jeng, Bin-Da Liu, Jau‐Yien Lee, T.-Y. Lee, Chia-Ming Wang and Jen Chun Wang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition, IEEE Transactions on Image Processing, Electronics Letters and IEEE Journal of Biomedical and Health Informatics.

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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