Chia‐Ling Hung

997 citations
12 papers · 839 · 1 hit paper · h-index 7

Impact in

Papers in

Chia‐Ling Hung

12 papers receiving 803 citations

Chia‐Ling Hung's Hit Papers

A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery 2004 · 517 citations
5170+7+14Years since publication100200300400500

Peers

Chia‐Ling Hung
Comparison fields: 5 of 83
  • Media Technology 492
  • Computer Vision and Pattern Recognition 348
  • Psychiatry and Mental health 80
  • Epidemiology 152
  • Oncology 99
Replace Brij Mohan Kumar Singh with:
Brij Mohan Kumar Singh India
Jacques Facon Brazil
Megha Pandey India
Mikko Nuutinen Finland
Yingchao Song China
David Cunefare United States
Yuexing Liu China
Yasmin M. Kassim United States
Lina Lu China
Frank Förster United Kingdom
Chia‐Ling Hung relative to Brij Mohan Kumar Singh India Brij Mohan Kumar Singh's profile →
Citations per field
00.5×7.5×
Brij Mohan Kumar Singh · 1×
Citations per year

Countries citing papers authored by Chia‐Ling Hung

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chia‐Ling 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 Chia‐Ling Hung Line = papers co-authored together Chia‐Ling Hung links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery
Hit paper breakdown →
2004517
2 1988119
3 2014106
4 201454
5 200114
6 198112
7 19797
8 19996
9 20241
10 20231
11 19801
12 20221

About Chia‐Ling Hung

Chia‐Ling Hung is a scholar working on Oncology, Computer Vision and Pattern Recognition, Epidemiology, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 839 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (3 papers), Protein purification and stability (2 papers), HIV/AIDS drug development and treatment (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), HIV Research and Treatment (2 papers), Digital Media Forensic Detection (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Media Technology (492 citations), Computer Vision and Pattern Recognition (348 citations), Psychiatry and Mental health (80 citations), Epidemiology (152 citations) and Oncology (99 citations). Chia‐Ling Hung has collaborated with scholars based in United States, Taiwan and Sweden. Frequent co-authors include Ping Huang, T.-M. Tu, Tsung‐Min Hung, Bradley D. Hatfield, Chien-Jung Huang, Y.‐K. Chang, Bernhard Kramarsky, Dharam V. Ablashi, S. Zaki Salahuddin and T Llana. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Virology, IEEE Geoscience and Remote Sensing Letters, International Journal of Cancer and Journal of Medical Virology.

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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