Shang‐Fu Chen

32 papers receiving 670 citations

Peers

Shang‐Fu Chen
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 142
  • Cancer Research 79
  • Oncology 137
  • Signal Processing 49
  • Biomedical Engineering 144
Replace Tong Ding with:
Tong Ding China
Masahiko Itoh Japan
Ling‐Hui Li China
Xingchen Zhou China
Haoran Zhao China
Hongchuan Yu China
Tengyue Li China
Qing Zhou United States
Xingkai Wang China
Shang‐Fu Chen relative to Tong Ding China Tong Ding's profile →
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Citations per year

Countries citing papers authored by Shang‐Fu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Fu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014113
2 2018112
3 201593
4 201945
5 202038
6 201434
7 201733
8 202326
9 201726
10 202223
11 202117
12 201312
13 202211
14 200611
15 20139
16 20148
17 20138
18 20237
19 20227
20 20256

About Shang‐Fu Chen

Shang‐Fu Chen is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 34 papers that have together received 677 indexed citations. Recurring topics across this work include ZnO doping and properties (5 papers), Ga2O3 and related materials (4 papers), Genetic Associations and Epidemiology (4 papers), Semiconductor materials and devices (4 papers), GaN-based semiconductor devices and materials (4 papers), Semiconductor Quantum Structures and Devices (3 papers), Digital Media Forensic Detection (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (142 citations), Cancer Research (79 citations), Oncology (137 citations), Signal Processing (49 citations) and Biomedical Engineering (144 citations). Shang‐Fu Chen has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Yi‐Chen Chen, Yu-Chiang Wang, Chih‐Kuan Yeh, Meng‐Chyi Wu, Ali Torkamani, Yu-Chiang Frank Wang, Jie‐Fu Chen, Mitch A. Garcia, Zunfu Ke and Hsian‐Rong Tseng. Their work appears in journals such as IEEE Electron Device Letters, Journal of Crystal Growth, ECS Journal of Solid State Science and Technology, npj Parkinson s Disease and Diabetes.

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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