Qingkai Kong

2.0k total citations · 1 hit paper
49 papers, 1.4k citations indexed

About

Qingkai Kong is a scholar working on Artificial Intelligence, Geophysics and Applied Mathematics. According to data from OpenAlex, Qingkai Kong has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 27 papers in Geophysics and 8 papers in Applied Mathematics. Recurrent topics in Qingkai Kong's work include Seismology and Earthquake Studies (28 papers), Seismic Waves and Analysis (22 papers) and Earthquake Detection and Analysis (14 papers). Qingkai Kong is often cited by papers focused on Seismology and Earthquake Studies (28 papers), Seismic Waves and Analysis (22 papers) and Earthquake Detection and Analysis (14 papers). Qingkai Kong collaborates with scholars based in United States, China and France. Qingkai Kong's co-authors include R. M. Allen, Youngwoo Kwon, Daniel T. Trugman, Michael J. Bianco, Peter Gerstoft, Brendan J. Meade, Zachary E. Ross, Yijian Zhou, Shiyong Zhou and Han Yue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Qingkai Kong

48 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine Learning in Seismology: Turning Data into Insights

2018 346 citations Qingkai Kong et al. Seismological Research Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qingkai Kong United States	15	861	851	160	130	112	49	1.4k
Wenyuan Liao Canada	22	256 0.3×	70 0.1×	74 0.5×	53 0.4×	137 1.2×	94	1.4k
P. J. Maechling United States	24	1.6k 1.8×	530 0.6×	790 4.9×	13 0.1×	88 0.8×	65	2.8k
Omar M. Saad Egypt	27	1.3k 1.5×	794 0.9×	38 0.2×	8 0.1×	491 4.4×	144	2.1k
Zhenhua He China	14	309 0.4×	31 0.0×	59 0.4×	18 0.1×	161 1.4×	93	750
Waltraud Huyer Austria	9	52 0.1×	153 0.2×	47 0.3×	14 0.1×	84 0.8×	11	803
Jingnan Liu China	19	248 0.3×	248 0.3×	92 0.6×	295 2.3×	67 0.6×	88	1.5k
Wei‐Chau Xie Canada	33	75 0.1×	129 0.2×	1.2k 7.4×	65 0.5×	60 0.5×	136	2.9k
Anna Maria Lombardi Italy	23	1.5k 1.7×	638 0.7×	266 1.7×	19 0.1×	38 0.3×	59	1.9k
Marco Iglesias United Kingdom	15	189 0.2×	155 0.2×	57 0.4×	42 0.3×	245 2.2×	35	801
Stelios M. Potirakis Greece	24	1.0k 1.2×	516 0.6×	25 0.2×	11 0.1×	120 1.1×	145	1.6k

Countries citing papers authored by Qingkai Kong

Since Specialization

Citations

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

Fields of papers citing papers by Qingkai Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingkai Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Qingkai Kong. A scholar is included among the top collaborators of Qingkai Kong 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 Qingkai Kong. Qingkai Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mao, Shanjun, et al.. (2025). Decentralized sampled-data H∞ fuzzy filtering for nonlinear interconnected systems with uncertain interconnections. Communications in Nonlinear Science and Numerical Simulation. 145. 108690–108690.

Gao, Qiang, et al.. (2025). Empowering agricultural ecological quality development through the digital economy with evidence from net carbon efficiency. Scientific Reports. 15(1). 10756–10756. 4 indexed citations

Tang, Hewei, Qingkai Kong, & Joseph P. Morris. (2024). Multi-fidelity Fourier neural operator for fast modeling of large-scale geological carbon storage. Journal of Hydrology. 629. 130641–130641. 14 indexed citations

Wei, Wei, et al.. (2024). A novel monitoring method based on the fusion of sound and image signals for laser welding penetration status. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 239(11). 1607–1619. 1 indexed citations

Maguire, Ross, Brandon Schmandt, Ruijia Wang, Qingkai Kong, & Pedro Sanchez. (2024). Generalization of Deep-Learning Models for Classification of Local Distance Earthquakes and Explosions across Various Geologic Settings. Seismological Research Letters. 95(4). 2229–2238. 9 indexed citations

Kong, Qingkai, W. R. Walter, Ruijia Wang, & Brandon Schmandt. (2024). Evaluating Physics-Informed Neural Network Performance for Seismic Discrimination between Earthquakes and Explosions. Seismological Research Letters. 96(1). 147–156. 4 indexed citations

Fernández-Godino, M. Giselle, D. D. Lucas, & Qingkai Kong. (2023). Predicting wind-driven spatial deposition through simulated color images using deep autoencoders. Scientific Reports. 13(1). 1394–1394. 5 indexed citations

Kong, Qingkai, et al.. (2023). Crowdsourcing Felt Reports Using the MyShake Smartphone App. Seismological Research Letters. 94(5). 2326–2336. 5 indexed citations

Kong, Qingkai, Ruijia Wang, W. R. Walter, et al.. (2022). Combining Deep Learning with Physics Based Features in Explosion-Earthquake Discrimination. arXiv (Cornell University). 52 indexed citations

10.

Kong, Qingkai, et al.. (2022). Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit. Scientific Reports. 12(1). 1634–1634. 36 indexed citations

11.

Kong, Qingkai, et al.. (2022). Detecting damaged buildings using real-time crowdsourced images and transfer learning. Scientific Reports. 12(1). 8968–8968. 7 indexed citations

12.

Kong, Qingkai, et al.. (2020). Applications of Smartphone Seismic Data for Rapid Structural Health Assessment. 1 indexed citations

13.

Allen, R. M., et al.. (2020). MyShake: Lessons from the first year of public earthquake early warning delivery in California. AGU Fall Meeting Abstracts. 2020. 4 indexed citations

14.

Inbal, Asaf, Qingkai Kong, William H. Savran, & R. M. Allen. (2019). On the Feasibility of Using the Dense MyShake Smartphone Array for Earthquake Location. Seismological Research Letters. 90(3). 1209–1218. 14 indexed citations

15.

Kong, Qingkai, et al.. (2018). MyShake: Using Human-Centered Design Methods to Promote Engagement in a Smartphone-Based Global Seismic Network. Frontiers in Earth Science. 6. 21 indexed citations

16.

Kong, Qingkai & R. M. Allen. (2012). Using Smartphones to Detect Earthquakes. AGU Fall Meeting Abstracts. 2012. 3 indexed citations

17.

Kong, Qingkai & Ming Zhao. (2012). Evaluation of earthquake signal characteristics for early warning. Earthquake Engineering and Engineering Vibration. 11(3). 435–443. 10 indexed citations

18.

Kong, Qingkai & Min Wang. (2010). Positive solutions of boundary value problems with p-Laplacian. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Meyer, Jannik C., et al.. (2002). A case study of high resolution crosswell seismic imaging in complex reservoir. 2377–2380. 2 indexed citations

20.

Kong, Qingkai. (1999). Interval Criteria for Oscillation of Second-Order Linear Ordinary Differential Equations. Journal of Mathematical Analysis and Applications. 229(1). 258–270. 115 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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