Ming Wu

991 citations
26 papers · 659 · h-index 13

Impact in

Papers in

Ming Wu

23 papers receiving 620 citations

Peers

Ming Wu
Comparison fields: 5 of 39
  • Hardware and Architecture 186
  • Software 88
  • Computer Networks and Communications 445
  • Information Systems 275
  • Computer Vision and Pattern Recognition 198
Replace Rupesh Nasre with:
Rupesh Nasre India
Sanidhya Kashyap United States
Sameer G. Kulkarni United States
Vignesh T. Ravi United States
Deian Stefan United States
Jóakim von Kistowski Germany
François Taı̈ani France
Kirk Webb United States
Derek L. Schuff United States
Michael I. Gordon United States
Ming Wu relative to Rupesh Nasre India Rupesh Nasre's profile →
Citations per field
00.5×1.5×2.0×
Rupesh Nasre · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012180
2
MODIST: transparent model checking of unmodified distributed systems
2009128
3 201164
4 200451
5 200944
6 201540
7 200727
8 200822
9 202516
10 201816
11 200914
12 200514
13 202512
14 20109
15 20255
16 20243
17 20253
18 20253
19 20252
20 20252

About Ming Wu

Ming Wu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Biomedical Engineering and Water Science and Technology, having authored 26 papers that have together received 659 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Cloud Computing and Resource Management (5 papers), Distributed and Parallel Computing Systems (5 papers), Software System Performance and Reliability (4 papers), Membrane Separation Technologies (4 papers), Membrane-based Ion Separation Techniques (3 papers), Fuel Cells and Related Materials (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (186 citations), Software (88 citations), Computer Networks and Communications (445 citations), Information Systems (275 citations) and Computer Vision and Pattern Recognition (198 citations). Ming Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xian‐He Sun, Lidong Zhou, Lintao Zhang, Junfeng Yang, Enhong Chen, Fan Yang, Youshan Miao, Ji Hyung Hong, Aapo Kyrola and Raymond Cheng. Their work appears in journals such as Nature Sustainability, ACM Transactions on Storage, Desalination, Journal of Membrane Science and RSC Advances.

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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