Ming Cheng

60 total papers · 1.1k total citations
35 papers, 533 citations indexed

About

Ming Cheng is a scholar working on Geophysics, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Ming Cheng has authored 35 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Geophysics, 14 papers in Artificial Intelligence and 8 papers in Ocean Engineering. Recurrent topics in Ming Cheng's work include Seismic Imaging and Inversion Techniques (18 papers), Seismic Waves and Analysis (12 papers) and Seismology and Earthquake Studies (7 papers). Ming Cheng is often cited by papers focused on Seismic Imaging and Inversion Techniques (18 papers), Seismic Waves and Analysis (12 papers) and Seismology and Earthquake Studies (7 papers). Ming Cheng collaborates with scholars based in China, Vietnam and United Kingdom. Ming Cheng's co-authors include Xintong Dong, Tie Zhong, Yue Li, Shaoping Lu, Ning Wu, Hongyu Hu, Qi Wang, Zhenhai Gao, Shihui Zhen and Hai Lin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Radiation Oncology*Biology*Physics and Expert Systems with Applications.

In The Last Decade

Ming Cheng

32 papers receiving 523 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Cheng 184 160 104 93 76 35 533
R. Romijn 210 1.1× 48 0.3× 179 1.7× 155 1.7× 28 0.4× 29 531
Osman Nuri Uçan 41 0.2× 205 1.3× 121 1.2× 25 0.3× 131 1.7× 67 585
Suhail Ashfaq Butt 48 0.3× 77 0.5× 63 0.6× 46 0.5× 92 1.2× 18 459
Bin Liu 17 0.1× 36 0.2× 97 0.9× 22 0.2× 59 0.8× 47 484
Umut Özkaya 38 0.2× 205 1.3× 155 1.5× 97 1.0× 104 1.4× 28 603
Wen Zhang 71 0.4× 111 0.7× 14 0.1× 19 0.2× 10 0.1× 49 561
Klaus Tönnies 33 0.2× 57 0.4× 119 1.1× 30 0.3× 235 3.1× 61 482
Jiawen Lin 110 0.6× 53 0.3× 69 0.7× 19 0.2× 102 1.3× 50 499
Andrew Squelch 88 0.5× 42 0.3× 45 0.4× 76 0.8× 43 0.6× 35 541
Amir Hossein Foruzan 26 0.1× 177 1.1× 230 2.2× 8 0.1× 361 4.8× 49 608

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Cheng

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

All Works

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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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