Jachih Fu

430 citations
25 papers · 326 · h-index 10

Impact in

Papers in

Jachih Fu

23 papers receiving 308 citations

Peers

Jachih Fu
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 147
  • Media Technology 45
  • Radiology, Nuclear Medicine and Imaging 86
  • Gastroenterology 15
  • Artificial Intelligence 93
Replace Duc My Vo with:
Duc My Vo South Korea
Andrzej Skalski Poland
Dinh Viet Sang Vietnam
N. Santhiyakumari India
Bunil Kumar Balabantaray India
Jie-Neng Chen China
Shakhnoza Muksimova South Korea
Anjany Sekuboyina Germany
Tati Rajab Mengko Indonesia
Jachih Fu relative to Duc My Vo South Korea Duc My Vo's profile →
Citations per field
00.5×10×17×
Duc My Vo · 1×
Citations per year

Countries citing papers authored by Jachih Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jachih Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200596
2 200942
3 200030
4 200524
5 200020
6 199918
7 200417
8 201311
9 199610
10 20149
11 20238
12 20226
13 20116
14 20235
15 20044
16 20024
17 19944
18 20233
19 20053
20 20233

About Jachih Fu

Jachih Fu is a scholar working on Surgery, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 25 papers that have together received 326 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced MRI Techniques and Applications (4 papers), Medical Image Segmentation Techniques (3 papers), Gastroesophageal reflux and treatments (3 papers), Advanced machining processes and optimization (3 papers), Advanced Surface Polishing Techniques (2 papers), Mineral Processing and Grinding (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Media Technology (45 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Gastroenterology (15 citations) and Artificial Intelligence (93 citations). Jachih Fu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Stephen T.C. Wong, Jyh‐Wen Chai, Jinn‐Yi Yeh, Han‐Chung Lien, K Mori, Nagayoshi Kasashima, Cheng-Jung Wu, Yang‐Kun Ou, J.-Y. Yeh and Xinhua Cao. Their work appears in journals such as Computerized Medical Imaging and Graphics, Magnetic Resonance Imaging, Journal of Neurogastroenterology and Motility, Intelligence-Based Medicine and Biomedical Signal Processing and Control.

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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