Ming Cheng

42 total papers · 1.1k total citations
27 papers, 912 citations indexed

About

Ming Cheng is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Mathematical Physics. According to data from OpenAlex, Ming Cheng has authored 27 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 6 papers in Mathematical Physics. Recurrent topics in Ming Cheng's work include Advanced Mathematical Physics Problems (6 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Nonlinear Photonic Systems (3 papers). Ming Cheng is often cited by papers focused on Advanced Mathematical Physics Problems (6 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Nonlinear Photonic Systems (3 papers). Ming Cheng collaborates with scholars based in China, Taiwan and United States. Ming Cheng's co-authors include Yuan Gao, Lianjing Zhao, Geyu Lu, Bo Zhang, Fangmeng Liu, Guannan Liu, Shan Li, Xu Yan, Tong Zhang and Peng Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Advanced Functional Materials.

In The Last Decade

Ming Cheng

24 papers receiving 889 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 549 372 292 217 113 27 912
Miaomiao Chen 284 0.5× 249 0.7× 53 0.2× 30 0.1× 5 0.0× 49 800
Jae‐Myoung Kim 76 0.1× 357 1.0× 414 1.4× 4 0.0× 130 1.2× 58 935
Mingyan He 518 0.9× 189 0.5× 737 2.5× 12 0.1× 6 0.1× 28 1.2k
Minzhi Wang 250 0.5× 551 1.5× 63 0.2× 32 0.1× 4 0.0× 29 1.1k
Rodrigo G. Amorim 542 1.0× 874 2.3× 285 1.0× 31 0.1× 2 0.0× 55 1.2k
Dalimil Šnita 286 0.5× 160 0.4× 502 1.7× 51 0.2× 4 0.0× 64 873
Qiliang Wu 665 1.2× 583 1.6× 58 0.2× 7 0.0× 4 0.0× 45 1.1k
Daijiro Nozaki 731 1.3× 520 1.4× 276 0.9× 39 0.2× 33 1.1k
Mingjun Li 396 0.7× 575 1.5× 132 0.5× 19 0.1× 69 1.1k
P. Ivanov 858 1.6× 237 0.6× 630 2.2× 519 2.4× 6 0.1× 34 1.1k

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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