Miao Cheng

73 total papers · 701 total citations
31 papers, 190 citations indexed

About

Miao Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Miao Cheng has authored 31 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Miao Cheng's work include Music and Audio Processing (3 papers), Advanced Algorithms and Applications (2 papers) and Face and Expression Recognition (2 papers). Miao Cheng is often cited by papers focused on Music and Audio Processing (3 papers), Advanced Algorithms and Applications (2 papers) and Face and Expression Recognition (2 papers). Miao Cheng collaborates with scholars based in China, Canada and Macao. Miao Cheng's co-authors include Chunjie Li, Wei Liu, Xianghe Qiao, Wenbin Yang, Haibin Sun, Longjiang Li, May CM Wong, Xuedong Zhou, Yan Wang and Jing Zou and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cochrane Database of Systematic Reviews and Journal of Materials Chemistry C.

In The Last Decade

Miao Cheng

24 papers receiving 184 citations

Author Peers

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

Author Last Decade Papers Cites
Miao Cheng 34 30 30 28 25 31 190
Maorui Zhang 58 1.7× 8 0.3× 30 1.0× 21 0.8× 7 0.3× 40 285
Aditya Saxena 33 1.0× 11 0.4× 10 0.3× 41 1.5× 17 0.7× 34 235
Yuqi Zhu 57 1.7× 6 0.2× 12 0.4× 43 1.5× 19 0.8× 24 272
Yangyang Ye 52 1.5× 13 0.4× 4 0.1× 5 0.2× 65 2.6× 17 198
Hanxiao Sun 25 0.7× 3 0.1× 8 0.3× 90 3.2× 33 1.3× 16 278
Ana Davila 71 2.1× 29 1.0× 3 0.1× 17 0.6× 28 1.1× 26 229
Harald Gropp 63 1.9× 3 0.1× 12 0.4× 46 1.6× 7 0.3× 36 271
Arash Farzan 25 0.7× 52 1.7× 37 1.3× 7 0.3× 20 151
Haroon Ahmed Khan 8 0.2× 17 0.6× 31 1.1× 90 3.6× 29 270
Xinjian Xiang 75 2.2× 23 0.8× 7 0.2× 17 0.6× 19 0.8× 35 241

Countries citing papers authored by Miao Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Miao Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Cheng. A scholar is included among the top collaborators of Miao 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 Miao Cheng. Miao 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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