Wai Ming Cheung

103 total papers · 2.0k total citations
62 papers, 1.4k citations indexed

About

Wai Ming Cheung is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Wai Ming Cheung has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 13 papers in Management of Technology and Innovation and 10 papers in Strategy and Management. Recurrent topics in Wai Ming Cheung's work include Manufacturing Process and Optimization (24 papers), Product Development and Customization (9 papers) and Sustainable Supply Chain Management (8 papers). Wai Ming Cheung is often cited by papers focused on Manufacturing Process and Optimization (24 papers), Product Development and Customization (9 papers) and Sustainable Supply Chain Management (8 papers). Wai Ming Cheung collaborates with scholars based in United Kingdom, Portugal and Iraq. Wai Ming Cheung's co-authors include Dirk Schaefer, Brabha Nagaratnam, Linda Newnes, Hisham Hafez, Rawaz Kurda, Paul Maropoulos, John Lanham, Robert Marsh, Reaz Hasan and James Gao and has published in prestigious journals such as Journal of Cleaner Production, Renewable Energy and Sensors.

In The Last Decade

Wai Ming Cheung

55 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Wai Ming Cheung 309 286 249 221 179 62 1.4k
Honghao Zhang 415 1.3× 257 0.9× 184 0.7× 280 1.3× 128 0.7× 66 1.8k
Antonio Forcina 315 1.0× 271 0.9× 177 0.7× 204 0.9× 55 0.3× 72 1.8k
Marco Marconi 514 1.7× 239 0.8× 128 0.5× 562 2.5× 78 0.4× 103 1.8k
Bin Song 161 0.5× 119 0.4× 68 0.3× 326 1.5× 63 0.4× 63 1.5k
Mohammed Ali Berawi 117 0.4× 512 1.8× 145 0.6× 361 1.6× 81 0.5× 162 1.8k
Yufei Liu 220 0.7× 74 0.3× 194 0.8× 108 0.5× 112 0.6× 88 1.7k
Alireza Valipour 88 0.3× 489 1.7× 135 0.5× 399 1.8× 69 0.4× 39 1.8k
Michele Rosano 103 0.3× 355 1.2× 304 1.2× 475 2.1× 59 0.3× 45 1.4k
Alireza Fallahpour 156 0.5× 150 0.5× 69 0.3× 735 3.3× 87 0.5× 41 1.5k
Robert Beauregard 160 0.5× 516 1.8× 47 0.2× 277 1.3× 68 0.4× 85 1.4k

Countries citing papers authored by Wai Ming Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Wai Ming Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wai Ming Cheung

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