Gang Yuan

1.2k total citations
74 papers, 870 citations indexed

About

Gang Yuan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gang Yuan has authored 74 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gang Yuan's work include Anomaly Detection Techniques and Applications (15 papers), Atomic and Molecular Physics (12 papers) and Medical Imaging Techniques and Applications (9 papers). Gang Yuan is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Atomic and Molecular Physics (12 papers) and Medical Imaging Techniques and Applications (9 papers). Gang Yuan collaborates with scholars based in China, Japan and United Kingdom. Gang Yuan's co-authors include Ruizhi Sun, Hiroyuki Daido, K. Murai, R. Kodama, Li Li, Saihua Cai, Yasuyuki Kato, Zeqiu Chen, Jian Zheng and M. Takagi and has published in prestigious journals such as Physical Review Letters, Environmental Science & Technology and Journal of Applied Physics.

In The Last Decade

Gang Yuan

66 papers receiving 825 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Yuan China 16 259 228 142 129 116 74 870
Shan Huang China 16 133 0.5× 131 0.6× 104 0.7× 82 0.6× 103 0.9× 104 855
Guanglei Wang China 16 162 0.6× 165 0.7× 147 1.0× 18 0.1× 200 1.7× 71 1.0k
Xuming Wang China 17 70 0.3× 153 0.7× 84 0.6× 31 0.2× 173 1.5× 86 973
Junhua Chen China 16 291 1.1× 147 0.6× 19 0.1× 43 0.3× 69 0.6× 79 792
Yuefan Deng United States 20 71 0.3× 101 0.4× 78 0.5× 135 1.0× 33 0.3× 98 1.2k
Thomas Kœhler Germany 15 361 1.4× 60 0.3× 155 1.1× 21 0.2× 293 2.5× 29 1.4k
Xiaoping Li China 19 30 0.1× 321 1.4× 208 1.5× 12 0.1× 127 1.1× 91 1.1k
Kang Li China 18 351 1.4× 239 1.0× 24 0.2× 243 1.9× 298 2.6× 56 982

Countries citing papers authored by Gang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yuan. A scholar is included among the top collaborators of Gang Yuan 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 Gang Yuan. Gang Yuan 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
1.
Yuan, Gang, et al.. (2025). Navigating China's OFDI: Financial development and policy shifts in the EU. International Review of Economics & Finance. 98. 103870–103870.
2.
Yuan, Gang, et al.. (2025). MaKAN-Mixer: Channel Interaction-Based Mamba Method for rPPG Extraction. IEEE Journal of Biomedical and Health Informatics. PP. 1–13. 1 indexed citations
3.
Cai, Saihua, et al.. (2024). MIT-FRNet: Modality-invariant temporal representation learning-based feature reconstruction network for missing modalities. Expert Systems with Applications. 249. 123655–123655. 5 indexed citations
4.
Cheng, Zihan, Yuzhu Cao, Weiwei Cao, et al.. (2024). Pyramid cross attention network for pixel-wise surface defect detection. NDT & E International. 143. 103053–103053. 3 indexed citations
5.
Cao, Yuzhu, et al.. (2024). A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration. Biomedical Signal Processing and Control. 95. 106476–106476. 4 indexed citations
6.
Yuan, Gang, et al.. (2024). CNN-based diagnosis model of children’s bladder compliance using a single intravesical pressure signal. Computer Methods in Biomechanics & Biomedical Engineering. 28(5). 698–709. 1 indexed citations
7.
Chen, Zhihui, Wei Liu, Gang Yuan, et al.. (2024). Brominated Flame Retardants (BFRs) in China Over the Past Half-Century: Stocks, Flows, Fates, and Ecological Risks. Environmental Science & Technology. 58(31). 13613–13623. 13 indexed citations
8.
Cao, Yuzhu, et al.. (2023). Boundary-aware registration network for 4D-CT lung image with sliding motion. Biomedical Signal Processing and Control. 86. 105333–105333. 9 indexed citations
9.
Chen, Zeqiu, et al.. (2022). DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory. Expert Systems with Applications. 213. 119197–119197. 6 indexed citations
10.
Peng, Yunsong, Mingming Zhang, Jialong Tang, et al.. (2021). Design of a rapid diagnostic model for bladder compliance based on real-time intravesical pressure monitoring system. Computers in Biology and Medicine. 141. 105173–105173. 9 indexed citations
11.
Wang, Kang, et al.. (2020). Smoothed L0-Constraint Dictionary Learning for Low-Dose X-Ray CT Reconstruction. IEEE Access. 8. 116961–116973. 17 indexed citations
12.
Peng, Yunsong, Shandong Wu, Gang Yuan, et al.. (2020). A radiomics method to classify microcalcification clusters in digital breast tomosynthesis. Medical Physics. 47(8). 3435–3446. 6 indexed citations
13.
Cai, Saihua, Li Li, Sicong Li, Ruizhi Sun, & Gang Yuan. (2020). An efficient approach for outlier detection from uncertain data streams based on maximal frequent patterns. Expert Systems with Applications. 160. 113646–113646. 20 indexed citations
14.
Yuan, Gang, et al.. (2019). Adversarial learning for deformable registration of brain MR image using a multi-scale fully convolutional network. Biomedical Signal Processing and Control. 53. 101562–101562. 19 indexed citations
15.
Cai, Saihua, et al.. (2019). MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream. Knowledge-Based Systems. 191. 105268–105268. 14 indexed citations
16.
17.
Yuan, Gang, Yasuyuki Kato, Hiroyuki Daido, et al.. (1996). Accurate wavelength determination of the lasing and nonlasing lines in laser-produced germanium plasma. Physica Scripta. 53(2). 197–203. 7 indexed citations
18.
Daido, Hiroyuki, Michał Schulz, K. Murai, et al.. (1995). Subnanosecond in-line soft x-ray holography using germanium laser in the 20 nm wavelength region. Journal of X-Ray Science and Technology. 5(1). 105–120. 8 indexed citations
19.
Daido, Hiroyuki, Yasuyuki Kato, K. Murai, et al.. (1993). Properties of an exploding foil neon-like germanium soft X-ray laser. Laser and Particle Beams. 11(1). 109–117. 4 indexed citations
20.
Nomoto, Shinya, Kentaro Hayashida, Emi Miyata, et al.. (1993). Application of a newly developed CCD for spectral-width measurements of a 53 eV germanium laser. Applied Physics B. 57(5). 331–336. 10 indexed citations

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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