Congcong Yuan

522 total citations
24 papers, 342 citations indexed

About

Congcong Yuan is a scholar working on Geophysics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Congcong Yuan has authored 24 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Geophysics, 12 papers in Artificial Intelligence and 10 papers in Mechanical Engineering. Recurrent topics in Congcong Yuan's work include Seismic Imaging and Inversion Techniques (13 papers), Seismic Waves and Analysis (12 papers) and Seismology and Earthquake Studies (12 papers). Congcong Yuan is often cited by papers focused on Seismic Imaging and Inversion Techniques (13 papers), Seismic Waves and Analysis (12 papers) and Seismology and Earthquake Studies (12 papers). Congcong Yuan collaborates with scholars based in China, United States and Israel. Congcong Yuan's co-authors include Jie Zhang, Wenhuan Kuang, Xiong Zhang, Weiping Li, Sen Liu, Zhibo Chen, Marine Denolle, Xiaofeng Jia, Xuefeng Xu and Yubin Fan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Congcong Yuan

21 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Congcong Yuan China 9 298 230 52 33 32 24 342
Hanchen Wang Saudi Arabia 9 171 0.6× 93 0.4× 70 1.3× 13 0.4× 47 1.5× 20 251
Kit Chambers United Kingdom 11 590 2.0× 149 0.6× 95 1.8× 12 0.4× 97 3.0× 37 618
Ian W. McBrearty United States 8 265 0.9× 236 1.0× 21 0.4× 7 0.2× 17 0.5× 15 319
Denis Anikiev Germany 9 343 1.2× 191 0.8× 52 1.0× 37 1.1× 62 1.9× 31 387
Chengping Chai United States 10 277 0.9× 138 0.6× 36 0.7× 28 0.8× 42 1.3× 25 320
Nadine Igonin Canada 9 460 1.5× 182 0.8× 56 1.1× 65 2.0× 141 4.4× 16 517
Yasuhiro Asai Japan 7 265 0.9× 79 0.3× 21 0.4× 13 0.4× 16 0.5× 26 300
Guillaume Daniel France 12 386 1.3× 55 0.2× 55 1.1× 57 1.7× 78 2.4× 29 445
Jubran Akram Canada 10 268 0.9× 206 0.9× 65 1.3× 24 0.7× 46 1.4× 24 312

Countries citing papers authored by Congcong Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congcong Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Congcong Yuan. A scholar is included among the top collaborators of Congcong 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 Congcong Yuan. Congcong 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, Congcong & Jie Zhang. (2025). Applying deep learning to teleseismic phase detection and picking: PcP and PKiKP cases. SHILAP Revista de lepidopterología. 6(1). 100108–100108.
2.
Wang, Yihan, Congcong Yuan, Sheng Chen, et al.. (2025). Helium plasma irradiation induced morphology evolution and sputtering behavior in WTaTiVCr refractory high entropy alloy and tungsten. Journal of Nuclear Materials. 607. 155656–155656.
3.
Svetlizky, Ilya, Robert C. Viesca, Shmuel M. Rubinstein, et al.. (2024). Propagation of extended fractures by local nucleation and rapid transverse expansion of crack-front distortion. Nature Physics. 20(4). 660–665. 11 indexed citations
4.
Yuan, Congcong, Marine Denolle, Joan Gomberg, et al.. (2024). Laboratory Hydrofractures as Analogs to Tectonic Tremors. SHILAP Revista de lepidopterología. 5(1). 2 indexed citations
5.
Yuan, Congcong & Jie Zhang. (2024). Feasibility of Identifying Shale Sweet Spots by Downhole Microseismic Imaging. Applied Sciences. 14(17). 8056–8056.
6.
Kuang, Wenhuan, Congcong Yuan, Zhihui Zou, Jie Zhang, & Wei Zhang. (2023). Autonomous Earthquake Location via Deep Reinforcement Learning. Seismological Research Letters. 95(1). 367–377. 5 indexed citations
7.
Yuan, Congcong, et al.. (2023). Better Together: Ensemble Learning for Earthquake Detection and Phase Picking. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 9 indexed citations
8.
Yuan, Congcong, et al.. (2023). Laboratory Hydrofractures as Analog to Tectonic Tremor. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Wei, Liming, Xuefeng Xu, Yubin Fan, Ju Zhang, & Congcong Yuan. (2022). Multi-step hydroforming process and wall thickness optimization of 5A02 aluminum alloy five-way tube with different branch diameters. The International Journal of Advanced Manufacturing Technology. 120(9-10). 6365–6375. 4 indexed citations
10.
Kuang, Wenhuan, Congcong Yuan, & Jie Zhang. (2021). Real-time determination of earthquake focal mechanism via deep learning. Nature Communications. 12(1). 1432–1432. 88 indexed citations
11.
Yuan, Congcong, et al.. (2021). Numerical comparison of time-, frequency- and wavelet-domain methods for coda wave interferometry. Geophysical Journal International. 226(2). 828–846. 29 indexed citations
13.
Zhang, Xiong, Jie Zhang, Congcong Yuan, et al.. (2020). Locating induced earthquakes with a network of seismic stations in Oklahoma via a deep learning method. Scientific Reports. 10(1). 1941–1941. 104 indexed citations
14.
Yuan, Congcong, et al.. (2019). Comparing approaches to measuring time- and frequency-dependent seismic phase variations for coda wave interferometry. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Yuan, Congcong, Xiong Zhang, Xiaofeng Jia, & Jie Zhang. (2019). Time-lapse velocity imaging via deep learning. Geophysical Journal International. 23 indexed citations
16.
Yuan, Congcong & Jie Zhang. (2018). A feasibility study of imaging hydraulic fractures with anisotropic reverse time migration. Journal of Applied Geophysics. 155. 199–207. 2 indexed citations
17.
Zhang, Xiong, Congcong Yuan, Jie Zhang, et al.. (2018). Automatic microseismic detection and location via the deep-convolutional neural network. 3057–3061. 13 indexed citations
18.
Yuan, Congcong, et al.. (2018). Microseismic reverse time migration with a multi-cross-correlation staining algorithm for fracture imaging. Journal of Applied Geophysics. 149. 95–104. 3 indexed citations
19.
Yuan, Congcong, Jie Zhang, & Wei Zhang. (2017). Automatic microseismic stacking location with a multi-cross-correlation condition. 120–123. 1 indexed citations
20.
Yuan, Congcong & Jie Zhang. (2016). 3D microseismic imaging for identifying shale sweet spot. 2689–2693. 1 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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