Jachih Fu

428 citations
25 papers · 322 · h-index 10

Impact in

Papers in

Jachih Fu

23 papers receiving 302 citations

Peers

Jachih Fu
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 154
  • Media Technology 46
  • Radiology, Nuclear Medicine and Imaging 96
  • Health Informatics 5
  • Artificial Intelligence 103
Replace Yanhong Luo with:
Yanhong Luo China
Ibtissam Bakkouri Morocco
Farhat Afza Pakistan
Jie-Neng Chen United States
Duc My Vo South Korea
Shakhnoza Muksimova South Korea
Andrzej Skalski Poland
Tianbao Zhou China
Christian Daul France
Jachih Fu relative to Yanhong Luo China Yanhong Luo's profile →
Citations per field
00.5×1.5×
Yanhong Luo · 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 20237
12 20116
13 20235
14 20225
15 20024
16 20044
17 19944
18 20053
19 20232
20 20232

About Jachih Fu

Jachih Fu is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers), Advanced machining processes and optimization (3 papers), Medical Image Segmentation Techniques (3 papers), Respiratory and Cough-Related Research (3 papers), Cardiac Imaging and Diagnostics (3 papers), Gastroesophageal reflux and treatments (3 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Media Technology (46 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Health Informatics (5 citations) and Artificial Intelligence (103 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, Cheng-Jung Wu, Nagayoshi Kasashima, Yang‐Kun Ou, J.-Y. Yeh and Xinhua Cao. Their work appears in journals such as Computerized Medical Imaging and Graphics, Journal of Neurogastroenterology and Motility, Magnetic Resonance Imaging, Academic Radiology and International Journal of Machine Tools and Manufacture.

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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