Ruey‐Feng Chang

6.6k citations
189 papers · 4.9k indexed · 1 hit paper · h-index 39
Topics
AI in cancer detection (99 papers)Radiomics and Machine Learning in Medical Imaging (49 papers)Ultrasound Imaging and Elastography (32 papers)

In The Last Decade

Ruey‐Feng Chang

185 papers receiving 4.7k citations

Hit Papers

Computer‐aided diagnosis of breast ultrasound images usin...2020202620222024202050100150200

Peers

Ruey‐Feng Chang
Comparison fields: 5 of 148
  • Artificial Intelligence 2.8k
  • Radiology, Nuclear Medicine and Imaging 2.7k
  • Computer Vision and Pattern Recognition 1.5k
  • Pulmonary and Respiratory Medicine 579
  • Biomedical Engineering 571
Replace Robert M. Nishikawa with:
Robert M. Nishikawa United States
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Ruey‐Feng Chang relative to Robert M. Nishikawa United States Robert M. Nishikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ruey‐Feng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ruey‐Feng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruey‐Feng Chang. 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 Ruey‐Feng Chang. The network helps show where Ruey‐Feng Chang may publish in the future.

Co-authorship network of co-authors of Ruey‐Feng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruey‐Feng Chang. A scholar is included among the top collaborators of Ruey‐Feng Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruey‐Feng Chang. Ruey‐Feng Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 1
5 15
6 3
7 8
8 21
9 74
10 10
11 22
12 75
13
An algorithm for training parameters in belief rule-bases based on the gradient and dichotomy methods
7
14
Image stitching and computer-aided diagnosis for whole breast ultrasound image
7
15
A Fast Finite-State Algorithm for Generating RGB Palettes of Color Quantized Images.
13
16
Automatic Facial Feature Extraction in Model-Based Coding.
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17
CT via percutaneous splenoportography: experiment and application.
1
18 45
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Computerized quantitative assessment of sonomammographic homogeneity of fibroadenoma and breast carcinoma
1
20
Images Coding Using Two-Pass Side-Match Finite-State Vector Quantization
3

About Ruey‐Feng Chang

Ruey‐Feng Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 189 papers that have together received 4.9k indexed citations. Recurring topics across this work include AI in cancer detection (99 papers), Radiomics and Machine Learning in Medical Imaging (49 papers) and Ultrasound Imaging and Elastography (32 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Artificial Intelligence (2.8k citations) and Computer Vision and Pattern Recognition (1.5k citations). Ruey‐Feng Chang has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Dar‐Ren Chen, Chiun‐Sheng Huang, Woo Kyung Moon, Woo Kyung Moon, Wen-Jie Wu, Jeon‐Hor Chen, Chung‐Ming Lo, Yu-Len Huang, Yeun‐Chung Chang and Yan‐Wei Lee. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B and Radiology.

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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