Chengping Chai

639 total citations
25 papers, 320 citations indexed

About

Chengping Chai is a scholar working on Geophysics, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Chengping Chai has authored 25 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geophysics, 10 papers in Artificial Intelligence and 3 papers in Ocean Engineering. Recurrent topics in Chengping Chai's work include Seismic Waves and Analysis (18 papers), Seismic Imaging and Inversion Techniques (11 papers) and Seismology and Earthquake Studies (10 papers). Chengping Chai is often cited by papers focused on Seismic Waves and Analysis (18 papers), Seismic Imaging and Inversion Techniques (11 papers) and Seismology and Earthquake Studies (10 papers). Chengping Chai collaborates with scholars based in United States, China and Switzerland. Chengping Chai's co-authors include Mónica Maceira, Charles J. Ammon, R. B. Herrmann, Martin Schoenball, Gregory C. Beroza, Hector Santos-Villalobos, Singanallur Venkatakrishnan, C. H. Thurber, Weiqiang Zhu and Omar Marcillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Tectonophysics.

In The Last Decade

Chengping Chai

24 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengping Chai United States 10 277 138 42 36 28 25 320
Congcong Yuan China 9 298 1.1× 230 1.7× 32 0.8× 52 1.4× 33 1.2× 24 342
Ben Dando Norway 9 368 1.3× 99 0.7× 24 0.6× 51 1.4× 9 0.3× 24 395
Chet Hopp United States 7 199 0.7× 82 0.6× 34 0.8× 26 0.7× 29 1.0× 16 230
Carolin Boese New Zealand 10 548 2.0× 148 1.1× 14 0.3× 27 0.8× 24 0.9× 23 565
Hanchen Wang Saudi Arabia 9 171 0.6× 93 0.7× 47 1.1× 70 1.9× 13 0.5× 20 251
Kit Chambers United Kingdom 11 590 2.1× 149 1.1× 97 2.3× 95 2.6× 12 0.4× 37 618
Ryan Visser Canada 10 280 1.0× 158 1.1× 51 1.2× 15 0.4× 22 0.8× 20 303
Michael Jervis United States 10 302 1.1× 86 0.6× 97 2.3× 190 5.3× 40 1.4× 41 356
Guillaume Daniel France 12 386 1.4× 55 0.4× 78 1.9× 55 1.5× 57 2.0× 29 445

Countries citing papers authored by Chengping Chai

Since Specialization
Citations

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

Fields of papers citing papers by Chengping Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengping Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Chengping Chai. A scholar is included among the top collaborators of Chengping Chai 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 Chengping Chai. Chengping Chai 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.
2.
Chai, Chengping, et al.. (2025). PickerXL, A Large Deep Learning Model to Measure Arrival Times from Noisy Seismic Signals. Seismological Research Letters. 96(4). 2394–2404. 1 indexed citations
3.
Chai, Chengping, Omar Marcillo, Mónica Maceira, et al.. (2025). Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning. SHILAP Revista de lepidopterología. 5(1). 64–72. 1 indexed citations
4.
Coblentz, David, Jolante van Wijk, Joshua Carmichael, et al.. (2023). New approaches to an old problem: addressing spatial gaps in the World Stress Map. Geological Society London Special Publications. 546(1). 47–68. 1 indexed citations
5.
Chai, Chengping, et al.. (2023). Locating Operational Events of the Cooling Tower of a Nuclear Reactor with a Very Local Seismic Network. Bulletin of the Seismological Society of America. 113(3). 1344–1355. 2 indexed citations
6.
Chai, Chengping, et al.. (2022). Automatic Waveform Quality Control for Surface Waves Using Machine Learning. Seismological Research Letters. 93(3). 1683–1694. 3 indexed citations
7.
Chai, Chengping, Charles J. Ammon, Mónica Maceira, & R. B. Herrmann. (2022). Crust and Upper Mantle Structure Beneath the Eastern United States. Geochemistry Geophysics Geosystems. 23(3). 11 indexed citations
8.
Chai, Chengping, et al.. (2022). Monitoring Operational States of a Nuclear Reactor Using Seismoacoustic Signatures and Machine Learning. Seismological Research Letters. 93(3). 1660–1672. 8 indexed citations
9.
Han, Shoucheng, Haijiang Zhang, Lei Gao, et al.. (2022). Joint Inversion of Body Wave Arrival Times, Surface Wave Dispersion Data and Receiver Functions: Method and Application to South China. Journal of Geophysical Research Solid Earth. 127(9). 12 indexed citations
10.
Han, Shoucheng, Haijiang Zhang, Lei Gao, Chengping Chai, & Mónica Maceira. (2022). Joint inversion of body wave arrival times, surface wave dispersion data and receiver functions: Method and Application to south China. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
Eaton, Samuel W., James T. Johnson, Scott M. Watson, et al.. (2022). An algorithmic approach to predicting mechanical draft cooling tower fan speeds from infrasound signals. Applied Acoustics. 199. 109015–109015. 4 indexed citations
12.
Chai, Chengping, A. A. Delorey, Mónica Maceira, et al.. (2021). A 3D Full Stress Tensor Model for Oklahoma. Journal of Geophysical Research Solid Earth. 126(4). 9 indexed citations
13.
Chai, Chengping, et al.. (2021). Seismically Detecting Nuclear Reactor Operations Using a Power Spectral Density (PSD) Misfit Detector. Bulletin of the Seismological Society of America. 111(3). 1378–1391. 5 indexed citations
14.
Schoenball, Martin, Jonathan Ajo‐Franklin, Chengping Chai, et al.. (2020). Creation of a Mixed‐Mode Fracture Network at Mesoscale Through Hydraulic Fracturing and Shear Stimulation. Journal of Geophysical Research Solid Earth. 125(12). 47 indexed citations
15.
Chai, Chengping, Mónica Maceira, Hector Santos-Villalobos, et al.. (2020). Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking. Geophysical Research Letters. 47(16). 100 indexed citations
16.
Chai, Chengping, Charles J. Ammon, & M. Cleveland. (2019). Aftershocks of the 2012 Off-Coast of Sumatra Earthquake Sequence. Tectonophysics. 763. 61–72. 4 indexed citations
17.
Chai, Chengping, Charles J. Ammon, Mónica Maceira, & R. B. Herrmann. (2018). Interactive Visualization of Complex Seismic Data and Models Using Bokeh. Seismological Research Letters. 89(2A). 668–676. 8 indexed citations
18.
Chai, Chengping. (2017). Multi-Objective Geophysical Inversion for Earth Structure and Earthquake Parameters. 1 indexed citations
19.
Tan, Yunhui, Chengping Chai, & Terry Engelder. (2014). Use of S-wave attenuation from perforation shots to map the growth of the stimulated reservoir volume in the Marcellus gas shale. The Leading Edge. 33(10). 1090–1096. 14 indexed citations
20.
Tan, Yunhui, Chengping Chai, & Terry Engelder. (2014). Use of perforation shot S wave attenuation to constrain locations of hydraulic fractures in the Marcellus Shale. 4582–4586. 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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2026