Kuo-Chen Wu

1.2k citations
57 papers · 817 · h-index 18

Impact in

Papers in

    • Radiomics and Machine Learning in Medical Imaging 12
    • Peripheral Nerve Disorders 6
    • Medical Imaging Techniques and Applications 6
    • Orthopedic Surgery and Rehabilitation 8
    • Shoulder Injury and Treatment 4

Kuo-Chen Wu

54 papers receiving 790 citations

Peers

Kuo-Chen Wu
Comparison fields: 5 of 118
  • Health Informatics 23
  • Computer Vision and Pattern Recognition 183
  • Physiology 33
  • Biological Psychiatry 18
  • Neurology 53
Replace Yixiao Zhang with:
Yixiao Zhang China
Yuanyuan Chen China
Hiroto Suzuki Japan
Sang Hyun Kim South Korea
Qiong Li China
Shirong Li China
Peng Peng China
Seokmin Han South Korea
Michael L. Martini United States
Kuo-Chen Wu relative to Yixiao Zhang China Yixiao Zhang's profile →
Citations per field
00.5×10.2×
Yixiao Zhang · 1×
Citations per year

Countries citing papers authored by Kuo-Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Chen Wu. 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 Kuo-Chen Wu. The network helps show where Kuo-Chen Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014100
2 201867
3 202151
4 201145
5 201938
6 201134
7 201132
8 200929
9 200627
10 201926
11 200524
12 200924
13 202023
14 200422
15 201421
16 202120
17 202420
18 201519
19 201517
20 201715

About Kuo-Chen Wu

Kuo-Chen Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition, Oncology and Electrical and Electronic Engineering, having authored 57 papers that have together received 817 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Orthopedic Surgery and Rehabilitation (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Peripheral Nerve Disorders (6 papers), Medical Imaging Techniques and Applications (6 papers), Tendon Structure and Treatment (5 papers), Semiconductor materials and devices (5 papers) and Shoulder Injury and Treatment (4 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Vision and Pattern Recognition (183 citations), Physiology (33 citations), Biological Psychiatry (18 citations) and Neurology (53 citations). Kuo-Chen Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chun‐Jung Lin, Chung-Ming Wang, I‐Ming Jou, Yijuang Chern, Chia‐Hung Kao, Chien‐Yu Lin, Tai‐Chang Chern, Ching‐Pang Chang, Chung-Jung Shao and Nan-I Wu. Their work appears in journals such as Ultrasound in Medicine & Biology, Cancers, Annals of Plastic Surgery, Energies and Brain Behavior and Immunity.

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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