Guoyan Jiang

943 total citations
37 papers, 763 citations indexed

About

Guoyan Jiang is a scholar working on Geophysics, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Guoyan Jiang has authored 37 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geophysics, 4 papers in Mechanics of Materials and 3 papers in Artificial Intelligence. Recurrent topics in Guoyan Jiang's work include earthquake and tectonic studies (32 papers), Earthquake Detection and Analysis (17 papers) and High-pressure geophysics and materials (12 papers). Guoyan Jiang is often cited by papers focused on earthquake and tectonic studies (32 papers), Earthquake Detection and Analysis (17 papers) and High-pressure geophysics and materials (12 papers). Guoyan Jiang collaborates with scholars based in China, United States and Hong Kong. Guoyan Jiang's co-authors include Caijun Xu, Yangmao Wen, Xiwei Xu, Shuai Wang, Yang Liu, Yajing Liu, Guihua Chen, Zhi Yin, Xibin Tan and Lihua Fang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Earth and Planetary Science Letters.

In The Last Decade

Guoyan Jiang

35 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoyan Jiang China 17 629 101 77 77 48 37 763
Shaohua Zhou Australia 13 546 0.9× 62 0.6× 188 2.4× 95 1.2× 52 1.1× 30 857
Seok Goo Song South Korea 16 430 0.7× 121 1.2× 23 0.3× 86 1.1× 32 0.7× 37 732
Kazuya Ishitsuka Japan 12 131 0.2× 98 1.0× 47 0.6× 34 0.4× 27 0.6× 36 328
Ahmed Badawy Egypt 15 662 1.1× 16 0.2× 30 0.4× 172 2.2× 28 0.6× 36 746
Adam J. Cawood United States 10 145 0.2× 45 0.4× 83 1.1× 23 0.3× 19 0.4× 26 394
Koji Shimada Japan 11 190 0.3× 45 0.4× 46 0.6× 39 0.5× 43 0.9× 40 340
Yongxian Zhang China 11 165 0.3× 22 0.2× 51 0.7× 95 1.2× 24 0.5× 66 360
Cameron Huddlestone‐Holmes Australia 10 74 0.1× 72 0.7× 166 2.2× 29 0.4× 48 1.0× 22 370
Floriane Provost France 8 242 0.4× 38 0.4× 39 0.5× 187 2.4× 77 1.6× 22 441
Taylan Öcalan Türkiye 10 277 0.4× 146 1.4× 12 0.2× 55 0.7× 9 0.2× 31 493

Countries citing papers authored by Guoyan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Guoyan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoyan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyan Jiang. A scholar is included among the top collaborators of Guoyan Jiang 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 Guoyan Jiang. Guoyan Jiang 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.
Jiang, Guoyan, et al.. (2025). Cognitive frailty and cardiometabolic risk in middle-aged and older adults: evidence from the UK and China. Aging Clinical and Experimental Research. 37(1). 269–269. 1 indexed citations
2.
3.
Jiang, Guoyan, et al.. (2024). Relatively stable pressure effects and time-increasing thermal contraction control Heber geothermal field deformation. Nature Communications. 15(1). 5159–5159. 5 indexed citations
4.
5.
Niu, Jiahui, Zhenyu Shi, Hanlian Liu, et al.. (2023). A new modeling approach for stress–strain relationship taking into account strain hardening and stored energy by compacted graphite iron evolution. Frontiers of Mechanical Engineering. 18(4).
6.
Xu, Caijun, et al.. (2023). A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 38 indexed citations
7.
Jiang, Guoyan. (2021). Theoretical analysis of ground displacements induced by deep fluid injection based on fully-coupled poroelastic simulation. Geodesy and Geodynamics. 12(3). 197–210. 1 indexed citations
8.
Jiang, Guoyan, Lin Liu, Andrew J. Barbour, Renqi Lu, & Hongfeng Yang. (2021). Physics‐Based Evaluation of the Maximum Magnitude of Potential Earthquakes Induced by the Hutubi (China) Underground Gas Storage. Journal of Geophysical Research Solid Earth. 126(4). 12 indexed citations
9.
Wang, Shuo, et al.. (2020). InSAR evidence indicates a link between fluid injection for salt mining and the 2019 Changning (China) earthquake sequence. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
10.
Wang, Shuai, Wenbin Xu, Caijun Xu, et al.. (2019). Changes in Groundwater Level Possibly Encourage Shallow Earthquakes in Central Australia: The 2016 Petermann Ranges Earthquake. Geophysical Research Letters. 46(6). 3189–3198. 30 indexed citations
11.
Jiang, Guoyan, Xuejun Qiao, Xiaoqiang Wang, et al.. (2019). GPS observed horizontal ground extension at the Hutubi (China) underground gas storage facility and its application to geomechanical modeling for induced seismicity. Earth and Planetary Science Letters. 530. 115943–115943. 42 indexed citations
12.
Jiang, Guoyan, et al.. (2019). A tectonic geodesy mapping software based on QGIS. Geodesy and Geodynamics. 11(1). 31–39. 7 indexed citations
13.
Xu, Guangyu, Caijun Xu, Yangmao Wen, & Guoyan Jiang. (2017). Source Parameters of the 2016–2017 Central Italy Earthquake Sequence from the Sentinel-1, ALOS-2 and GPS Data. Remote Sensing. 9(11). 1182–1182. 44 indexed citations
14.
Yi, Lei, et al.. (2017). Rupture process of the 2016 Mw 7.8 Ecuador earthquake from joint inversion of InSAR data and teleseismic P waveforms. Tectonophysics. 722. 163–174. 16 indexed citations
15.
Yin, Zhi, et al.. (2016). A new hybrid inversion method for parametric curved faults and its application to the 2008 Wenchuan (China) earthquake. Geophysical Journal International. 205(2). 954–970. 6 indexed citations
16.
Sun, Haoyue, Guoyan Jiang, Honglin He, et al.. (2016). THE INFLUENCE OF THE 2014 JINGGUMS6.6 EARTHQUAKE ON THE SEISMIC RISK OF THE NANTINGHE FAULT ZONE IN YUNNAN PROVINCE, CHINA. Chinese Journal of Geophysics. 59(2). 180–189. 1 indexed citations
17.
Jiang, Guoyan, Yangmao Wen, Yajing Liu, et al.. (2015). Joint analysis of the 2014 Kangding, southwest China, earthquake sequence with seismicity relocation and InSAR inversion. Geophysical Research Letters. 42(9). 3273–3281. 62 indexed citations
18.
Jiang, Guoyan, Caijun Xu, Yangmao Wen, et al.. (2014). Contemporary tectonic stressing rates of major strike-slip faults in the Tibetan Plateau from GPS observations using Least-Squares Collocation. Tectonophysics. 615-616. 85–95. 18 indexed citations
19.
Xu, Caijun, et al.. (2014). Postseismic deformation after 2008 Wenchuan Earthquake. Survey Review. 46(339). 432–436. 12 indexed citations
20.

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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