Ming Chu

9 total papers · 978 total citations
9 papers, 792 citations indexed

About

Ming Chu is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Ming Chu has authored 9 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 4 papers in Mechanical Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Ming Chu's work include Additive Manufacturing Materials and Processes (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Graphene research and applications (2 papers). Ming Chu is often cited by papers focused on Additive Manufacturing Materials and Processes (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Graphene research and applications (2 papers). Ming Chu collaborates with scholars based in China, United Kingdom and Sweden. Ming Chu's co-authors include Artemis Stamboulis, Pagona Papakonstantinou, Helder Marchetto, A. Potenza, S. S. Dhesi, Alexei Zakharov, Naigui Shang, I‐Nan Lin, Umesh Palnitkar and Peng Wang and has published in prestigious journals such as ACS Nano, Advanced Functional Materials and Materials science forum.

In The Last Decade

Ming Chu

9 papers receiving 776 citations

Hit Papers

Catalyst‐Free Efficient G... 2008 2026 2014 2020 2008 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ming Chu 474 424 197 169 163 9 792
Inhwan Do 439 0.9× 321 0.8× 151 0.8× 186 1.1× 213 1.3× 11 776
X.J. Chen 382 0.8× 525 1.2× 107 0.5× 86 0.5× 71 0.4× 10 762
Charles Agnès 556 1.2× 210 0.5× 283 1.4× 101 0.6× 146 0.9× 15 750
Qingbo Chi 584 1.2× 278 0.7× 117 0.6× 59 0.3× 114 0.7× 9 726
Xinne Zhao 306 0.6× 246 0.6× 59 0.3× 284 1.7× 160 1.0× 11 695
Everson T.S.G. da Silva 412 0.9× 232 0.5× 154 0.8× 356 2.1× 87 0.5× 15 832
Jung-Suk Yoo 389 0.8× 142 0.3× 259 1.3× 155 0.9× 190 1.2× 10 756
Tarik Matrab 340 0.7× 191 0.5× 112 0.6× 159 0.9× 170 1.0× 14 622
Nasuha Rohaizad 345 0.7× 487 1.1× 66 0.3× 330 2.0× 83 0.5× 10 870
Charles J. Brumlik 351 0.7× 457 1.1× 61 0.3× 294 1.7× 185 1.1× 20 809

Countries citing papers authored by Ming Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chu

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