Ming-Cheng Wu

11 total papers · 499 total citations
10 papers, 397 citations indexed

About

Ming-Cheng Wu is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Polymers and Plastics. According to data from OpenAlex, Ming-Cheng Wu has authored 10 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Fluid Flow and Transfer Processes and 3 papers in Polymers and Plastics. Recurrent topics in Ming-Cheng Wu's work include Transition Metal Oxide Nanomaterials (3 papers), Biodiesel Production and Applications (3 papers) and Advanced Combustion Engine Technologies (3 papers). Ming-Cheng Wu is often cited by papers focused on Transition Metal Oxide Nanomaterials (3 papers), Biodiesel Production and Applications (3 papers) and Advanced Combustion Engine Technologies (3 papers). Ming-Cheng Wu collaborates with scholars based in United States and Taiwan. Ming-Cheng Wu's co-authors include Joseph P. Heremans, C. M. Thrush, Donald T. Morelli, Chi‐Shen Lee, Amy M. Peterson, Craig L. DiMaggio, Ming-Chia Lai, M. C. Lin and K. Y. Simon Ng and has published in prestigious journals such as Physical Review Letters, Inorganic Chemistry and Journal of Materials Science.

In The Last Decade

Ming-Cheng Wu

10 papers receiving 383 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 Wu 306 131 77 72 70 10 397
Christopher D. Liman 314 1.0× 257 2.0× 25 0.3× 31 0.4× 86 1.2× 13 442
Ekaterina Selezneva 348 1.1× 105 0.8× 60 0.8× 45 0.6× 30 0.4× 16 381
Markus Bartel 322 1.1× 111 0.8× 96 1.2× 32 0.4× 25 0.4× 8 421
Aris Marcolongo 256 0.8× 187 1.4× 12 0.2× 35 0.5× 16 0.2× 12 379
Jens Keutgen 383 1.3× 296 2.3× 24 0.3× 46 0.6× 44 0.6× 7 420
Scott W. Finefrock 361 1.2× 174 1.3× 124 1.6× 87 1.2× 29 0.4× 9 411
Richard Hinterding 303 1.0× 112 0.9× 58 0.8× 17 0.2× 27 0.4× 13 338
Sang Hyun Park 321 1.0× 91 0.7× 95 1.2× 91 1.3× 17 0.2× 15 352
Vladan Janković 113 0.4× 194 1.5× 106 1.4× 81 1.1× 114 1.6× 9 374
Hiram Conley 218 0.7× 189 1.4× 17 0.2× 130 1.8× 122 1.7× 7 424

Countries citing papers authored by Ming-Cheng Wu

Since Specialization
Citations

This map shows the geographic impact of Ming-Cheng Wu'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 Wu 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 Wu more than expected).

Fields of papers citing papers by Ming-Cheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Cheng Wu

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