Minghui Wu

171 papers receiving 1.7k citations

Peers

Minghui Wu
Comparison fields: 5 of 148
  • Hepatology 141
  • Geriatrics and Gerontology 57
  • Media Technology 146
  • Signal Processing 155
  • Information Systems 315
Replace Yuan Jiang with:
Yuan Jiang China
Yilu Zhang United States
Pengfei Zhang China
Ankush Mittal India
Hongji Yang United Kingdom
Elena Casiraghi Italy
Nigel Duffy United States
Dimitrios Makrakis Canada
Wei Yan Liang China
Minghui Wu relative to Yuan Jiang China Yuan Jiang's profile →
Citations per field
00.5×5×11.8×
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 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018154
2 2022102
3 202097
4 201575
5 200567
6 201753
7 201944
8 202041
9 201135
10 202332
11 201431
12 201831
13 202029
14 201827
15 202327
16 202425
17 202224
18 202122
19
Expression and function of SIRT6 in muscle invasive urothelial carcinoma of the bladder.
201422
20 201822

About Minghui Wu

Minghui Wu is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 189 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Service-Oriented Architecture and Web Services (14 papers), Advanced Data Storage Technologies (12 papers), Interconnection Networks and Systems (11 papers), Advanced Image Fusion Techniques (10 papers), Advanced Software Engineering Methodologies (10 papers), Data Management and Algorithms (9 papers) and Speech Recognition and Synthesis (8 papers). The work is most often cited by research in Hepatology (141 citations), Geriatrics and Gerontology (57 citations), Media Technology (146 citations), Signal Processing (155 citations) and Information Systems (315 citations). Minghui Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yong Ma, Jun Huang, Fan Fan, Ying Jing, Jingsong Zhang, Edward Seto, Canghong Jin, Jinjin Hai, Shaocheng Zhu and Peigang Ning. Their work appears in journals such as Metallurgical and Materials Transactions B, IEEE Access, Pattern Recognition Letters, Materials and ACM Transactions on Software Engineering and Methodology.

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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