Min Bai

449 total citations
11 papers, 373 citations indexed

About

Min Bai is a scholar working on Geophysics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Bai has authored 11 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geophysics, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Bai's work include Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (8 papers) and Seismology and Earthquake Studies (3 papers). Min Bai is often cited by papers focused on Seismic Imaging and Inversion Techniques (8 papers), Seismic Waves and Analysis (8 papers) and Seismology and Earthquake Studies (3 papers). Min Bai collaborates with scholars based in China, United States and Australia. Min Bai's co-authors include Yangkang Chen, Mi Zhang, Yunfeng Chen, Wei Chen, Zhe Guan, Shaohuan Zu, Guoyin Zhang, Yang Liu, Hua Zhang and Guochang Liu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and Geophysics.

In The Last Decade

Min Bai

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Bai China	7	318	133	114	79	47	11	373
Min Bai China	14	464 1.5×	107 0.8×	178 1.6×	155 2.0×	55 1.2×	37	521
Xintao Chai China	10	342 1.1×	110 0.8×	179 1.6×	53 0.7×	72 1.5×	25	453
Ali Siahkoohi United States	10	218 0.7×	66 0.5×	132 1.2×	41 0.5×	57 1.2×	25	303
Yapo Abolé Serge Innocent Oboué China	11	320 1.0×	111 0.8×	132 1.2×	119 1.5×	20 0.4×	21	369
Juan I. Sabbione Argentina	8	278 0.9×	173 1.3×	72 0.6×	37 0.5×	26 0.6×	20	311
Tieyi Wang China	9	398 1.3×	131 1.0×	198 1.7×	59 0.7×	120 2.6×	15	457
Wail A. Mousa Saudi Arabia	10	200 0.6×	97 0.7×	72 0.6×	68 0.9×	29 0.6×	41	282
Lingchen Zhu United States	6	167 0.5×	46 0.3×	117 1.0×	86 1.1×	57 1.2×	13	315
Rasoul Anvari Iran	8	281 0.9×	40 0.3×	83 0.7×	160 2.0×	28 0.6×	11	330
Vincenzo Lipari Italy	9	246 0.8×	83 0.6×	168 1.5×	71 0.9×	116 2.5×	28	360

Countries citing papers authored by Min Bai

Since Specialization

Citations

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

Fields of papers citing papers by Min Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Bai

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

All Works

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11 of 11 papers shown

1.

Bai, Min, et al.. (2024). Monte Carlo non-negative dictionary learning method for distributed acoustic sensing data denoising. 61–64.

2.

Bai, Ming, et al.. (2024). Earthquake signal detection using a multiscale feature fusion network with hybrid attention mechanism. Geophysical Journal International. 240(2). 988–1008.

3.

Bai, Min, et al.. (2019). Gaussian beam reconstruction of seismic data. Geophysics. 84(5). S373–S387. 13 indexed citations

4.

Chen, Yangkang, Min Bai, & Yunfeng Chen. (2019). Obtaining free USArray data by multi-dimensional seismic reconstruction. Nature Communications. 10(1). 4434–4434. 89 indexed citations

5.

Chen, Yangkang, Mi Zhang, Min Bai, & Wei Chen. (2019). Improving the Signal‐to‐Noise Ratio of Seismological Datasets by Unsupervised Machine Learning. Seismological Research Letters. 84 indexed citations

6.

Chen, Yangkang, Guoyin Zhang, Min Bai, et al.. (2019). Automatic Waveform Classification and Arrival Picking Based on Convolutional Neural Network. Earth and Space Science. 6(7). 1244–1261. 103 indexed citations

7.

Chen, Yangkang, Min Bai, Zhe Guan, et al.. (2019). Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method. Geophysical Journal International. 218(2). 1226–1226. 2 indexed citations

8.

Zhang, Mi, Yang Liu, Min Bai, & Yangkang Chen. (2019). Seismic Noise Attenuation Using Unsupervised Sparse Feature Learning. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 9709–9723. 61 indexed citations

9.

Bai, Min, et al.. (2019). Least-Squares Gaussian Beam Transform for Seismic Noise Attenuation. IEEE Transactions on Geoscience and Remote Sensing. 57(11). 8685–8694. 11 indexed citations

10.

Chen, Xiaohong, et al.. (2015). Attenuation compensation in multicomponent Gaussian beam prestack depth migration. Applied Geophysics. 12(2). 157–168. 6 indexed citations

11.

Bai, Min. (2014). A review of three-dimensional (3D) geometric morphometrics and its application in entomology. Acta Entomologica Sinica. 4 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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