Ming Wu

28 papers receiving 501 citations

Peers

Ming Wu
Comparison fields: 5 of 103
  • Renewable Energy, Sustainability and the Environment 120
  • Energy Engineering and Power Technology 20
  • Management Science and Operations Research 79
  • Catalysis 41
  • Communication 38
Replace Erhan Atay with:
Erhan Atay Türkiye
Syed Athar Masood Pakistan
Rajesh Nellore United States
Chike F. Oduoza United Kingdom
Leandro Innocentini Lopes de Faria Brazil
Chenyue Zhang China
Mohammad Reda Kabli Saudi Arabia
Ming Wu relative to Erhan Atay Türkiye Erhan Atay's profile →
Citations per field
00.5×4.9×
Erhan Atay · 1×
Citations per year

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Wu Line = papers co-authored together Ming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 201359
3 202058
4 201537
5 201933
6 202131
7 202129
8 202128
9 201925
10 201224
11 201222
12 202015
13 202015
14 201512
15 202211
16 202111
17 20216
18 20145
19 20234
20 20213

About Ming Wu

Ming Wu is a scholar working on Management Science and Operations Research, Communication, Computer Vision and Pattern Recognition, Building and Construction and Artificial Intelligence, having authored 32 papers that have together received 515 indexed citations. Recurring topics across this work include Construction Project Management and Performance (6 papers), BIM and Construction Integration (5 papers), Knowledge Management and Sharing (5 papers), Endometrial and Cervical Cancer Treatments (3 papers), Occupational Health and Safety Research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), COVID-19 diagnosis using AI (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (120 citations), Energy Engineering and Power Technology (20 citations), Management Science and Operations Research (79 citations), Catalysis (41 citations) and Communication (38 citations). Ming Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guofeng Ma, Jianyao Jia, Zhijiang Wu, Beifang Yang, Yongxun Zhao, Yan Lv, Zhengping Fu, Jiao Xu, Wenjing Yang and Shan Jiang. Their work appears in journals such as Engineering Construction & Architectural Management, Journal of Construction Engineering and Management, The Journal of Physical Chemistry C, OncoTargets and Therapy and Industrial & Engineering Chemistry Research.

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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