Qiping Yuan

2.4k total citations
111 papers, 903 citations indexed

About

Qiping Yuan is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Qiping Yuan has authored 111 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Nuclear and High Energy Physics, 38 papers in Biomedical Engineering and 30 papers in Aerospace Engineering. Recurrent topics in Qiping Yuan's work include Magnetic confinement fusion research (87 papers), Superconducting Materials and Applications (36 papers) and Fusion materials and technologies (29 papers). Qiping Yuan is often cited by papers focused on Magnetic confinement fusion research (87 papers), Superconducting Materials and Applications (36 papers) and Fusion materials and technologies (29 papers). Qiping Yuan collaborates with scholars based in China, United States and Italy. Qiping Yuan's co-authors include Bingjia Xiao, Zhengping Luo, Yao Huang, Robert D. Johnson, David Humphreys, B.G. Penaflor, M.L. Walker, A.S. Welander, A.W. Hyatt and J.A. Leuer and has published in prestigious journals such as Journal of Investigative Dermatology, Advanced Science and Journal of Photochemistry and Photobiology B Biology.

In The Last Decade

Qiping Yuan

92 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiping Yuan China 17 621 327 295 237 154 111 903
A. Neto Portugal 17 775 1.2× 315 1.0× 186 0.6× 257 1.1× 146 0.9× 106 1000
P. Sonato Italy 15 800 1.3× 226 0.7× 240 0.8× 732 3.1× 396 2.6× 83 1.1k
D. Valcárcel Portugal 14 520 0.8× 184 0.6× 187 0.6× 181 0.8× 66 0.4× 58 643
R. Martone Italy 14 279 0.4× 287 0.9× 85 0.3× 174 0.7× 329 2.1× 128 824
B.B. Carvalho Portugal 16 585 0.9× 171 0.5× 123 0.4× 189 0.8× 163 1.1× 106 783
A.J.N. Batista Portugal 15 576 0.9× 192 0.6× 109 0.4× 200 0.8× 164 1.1× 75 768
G.L. Jahns United States 13 641 1.0× 137 0.4× 199 0.7× 126 0.5× 117 0.8× 26 832
Wonwoo Lee South Korea 17 341 0.5× 131 0.4× 60 0.2× 128 0.5× 289 1.9× 91 1.1k
A. Formisano Italy 14 190 0.3× 255 0.8× 68 0.2× 135 0.6× 299 1.9× 118 724
W. Dekeyser Belgium 16 747 1.2× 388 1.2× 597 2.0× 269 1.1× 377 2.4× 73 1.2k

Countries citing papers authored by Qiping Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Qiping Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiping Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Qiping Yuan. A scholar is included among the top collaborators of Qiping 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 Qiping Yuan. Qiping 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.
Xiao, Bingjia, et al.. (2025). Ultra-short-term Wind power prediction algorithm based on bidirectional neural controlled differential equations. Electric Power Systems Research. 243. 111479–111479. 2 indexed citations
2.
3.
Li, Wen, Jialin Liu, Zhicheng Hu, et al.. (2025). Targeting Fibrotic Scarring by Mechanoregulation of Il11ra1 + /Itga11 + Fibroblast Patterning Promotes Axon Growth after Spinal Cord Injury. Advanced Science. 12(44). e13476–e13476.
4.
Schuster, Eugenio, et al.. (2025). Enabling model-based scenario control in EAST by fast surrogate modeling within COTSIM. Fusion Engineering and Design. 215. 114969–114969.
5.
6.
Wang, Yucheng, Wenhui Hu, Bingjia Xiao, Qiping Yuan, & Ruirui Zhang. (2024). Fault detection of line-averaged plasma density on EAST using LightGBM. Fusion Engineering and Design. 211. 114772–114772. 1 indexed citations
7.
Zheng, Guanjie, Qiping Yuan, X.Q. Ji, et al.. (2023). A new scheme of plasma control system based on real-time Linux cluster for HL-2M. Fusion Engineering and Design. 192. 113763–113763. 2 indexed citations
8.
Wu, Kai, Qiping Yuan, D. Eldon, et al.. (2023). The first achievement of the double feedback control of the detachment in the long-pulse plasma on EAST. Nuclear Materials and Energy. 34. 101398–101398. 1 indexed citations
9.
Pau, A., et al.. (2023). A machine-learning-based tool for last closed-flux surface reconstruction on tokamaks. Nuclear Fusion. 63(5). 56019–56019. 18 indexed citations
10.
Huang, Yao, Adriano Mele, Zhengping Luo, et al.. (2022). Implementation of a Kalman filter-based eddy current estimator for the P-EFIT magnetic equilibrium reconstruction code. Nuclear Fusion. 62(8). 86010–86010. 5 indexed citations
11.
Ye, Y., Guosheng Xu, R. Chen, et al.. (2021). Sustained edge-localized-modes suppression and radiative divertor with an impurity-driven instability in tokamak plasmas. Nuclear Fusion. 61(11). 116032–116032. 7 indexed citations
12.
Wu, Kai, Qiping Yuan, Guosheng Xu, et al.. (2021). The achievement of the T e,div feedback control by CD 4 seeding on EAST. Plasma Physics and Controlled Fusion. 63(10). 105004–105004. 4 indexed citations
13.
Schuster, Eugenio, T. Rafiq, Yao Huang, et al.. (2021). Refinement of Control-Oriented Model via TRANSP-Based Transport Analysis to Enable Systematic Model-based Scenario Planning in EAST. Bulletin of the American Physical Society.
14.
Zheng, Yingying, Q. Li, Yongqiang Zhang, et al.. (2021). Design of an energetic particle radiation diagnostic spectroscopy system based on national core chips and Qt on Linux in EAST. Nuclear Science and Techniques. 32(7). 5 indexed citations
15.
Luo, Zhengping, Tianbo Wang, Yao Huang, et al.. (2021). Plasma current profile reconstruction for EAST based on Bayesian inference. Fusion Engineering and Design. 172. 112722–112722. 8 indexed citations
16.
Yuan, Qiping, et al.. (2021). Custom application of PCS software development platform on EAST. Fusion Engineering and Design. 166. 112314–112314. 2 indexed citations
17.
Rea, Cristina, Kevin Montes, Wenhui Hu, et al.. (2020). Interpretable data-driven disruption predictors to trigger avoidance and mitigation actuators on different tokamaks. APS Division of Plasma Physics Meeting Abstracts. 2020. 1 indexed citations
18.
Leuer, J.A., N.W. Eidietis, J.R. Ferron, et al.. (2010). Plasma Startup Design of Fully Superconducting Tokamaks EAST and KSTAR With Implications for ITER. IEEE Transactions on Plasma Science. 38(3). 333–340. 17 indexed citations
19.
Leuer, J.A., Daniel Lewis Humphreys, A.W. Hyatt, et al.. (2007). EAST First Plasma -- Design, Simulation {\&} Experimental Results. Bulletin of the American Physical Society. 49. 1 indexed citations
20.
Harry, J. E. & Qiping Yuan. (2000). Distinguishing discharge modes using their spectral lines. International Journal of Electronics. 87(9). 1105–1112. 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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