Minghui Wu

2.3k citations
172 papers · 1.5k · h-index 20

Impact in

Papers in

Minghui Wu

154 papers receiving 1.5k citations

Peers

Minghui Wu
Comparison fields: 5 of 143
  • Hepatology 138
  • Geriatrics and Gerontology 52
  • Media Technology 129
  • Information Systems 266
  • Artificial Intelligence 345
Replace Yuan Jiang with:
Yuan Jiang China
Ankush Mittal India
Dimitrios Makrakis Canada
Elena Casiraghi Italy
Michel Kadoch Canada
Wenhong Tian China
Wei Liang China
Heitor S. Ramos Brazil
Mahmoud Ragab Saudi Arabia
Minghui Wu relative to Yuan Jiang China Yuan Jiang's profile →
Citations per field
00.5×10×13.3×
Yuan Jiang · 1×
Citations per year

Countries citing papers authored by Minghui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minghui 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 Minghui Wu Line = papers co-authored together Minghui Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018152
2 202094
3 202292
4 201571
5 200560
6 201747
7 201942
8 202039
9 201431
10 202327
11 201827
12 202026
13 202325
14 201823
15 202223
16 202122
17 201821
18 202421
19
Expression and function of SIRT6 in muscle invasive urothelial carcinoma of the bladder.
201420
20 202120

About Minghui Wu

Minghui Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 172 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Service-Oriented Architecture and Web Services (12 papers), Advanced Data Storage Technologies (12 papers), Interconnection Networks and Systems (11 papers), Advanced Image Fusion Techniques (10 papers), Data Management and Algorithms (9 papers), Advanced Software Engineering Methodologies (9 papers) and Software Engineering Research (8 papers). The work is most often cited by research in Hepatology (138 citations), Geriatrics and Gerontology (52 citations), Media Technology (129 citations), Information Systems (266 citations) and Artificial Intelligence (345 citations). Minghui Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yong Ma, Jun Huang, Fan Fan, Jingsong Zhang, Ying Jing, Edward Seto, Jinjin Hai, Canghong Jin, Shaocheng Zhu and Peigang Ning. Their work appears in journals such as Metallurgical and Materials Transactions B, IEEE Access, ACM Transactions on Software Engineering and Methodology, Journal of Systems Architecture and Materials.

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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