Mingrui Fu

499 citations
21 papers · 361 · h-index 9

Impact in

Papers in

Mingrui Fu

20 papers receiving 357 citations

Peers

Mingrui Fu
Comparison fields: 5 of 54
  • Industrial and Manufacturing Engineering 71
  • Mechanical Engineering 185
  • Metals and Alloys 12
  • Civil and Structural Engineering 81
  • Computational Mathematics 2
Replace E. Furtado De Simas Filho with:
E. Furtado De Simas Filho Brazil
Jinhyun Park South Korea
Patrick E. Leser United States
Xiaoyuan Liu China
Pakorn Kaewtrakulpong Thailand
Cunjun Wang China
Minh Thi Tran Vietnam
Xunbo Li China
Mingrui Fu relative to E. Furtado De Simas Filho Brazil E. Furtado De Simas Filho's profile →
Citations per field
00.5×1.5×2.2×
E. Furtado De Simas Filho · 1×
Citations per year

Countries citing papers authored by Mingrui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Mingrui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 201956
3 202052
4 201743
5 202026
6 202426
7 202419
8 202419
9 202413
10 20188
11 20217
12 20206
13 20245
14 20225
15 20235
16 20164
17 20253
18 20252
19 20172
20 20241

About Mingrui Fu

Mingrui Fu is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials and Artificial Intelligence, having authored 21 papers that have together received 361 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (8 papers), Industrial Vision Systems and Defect Detection (6 papers), Welding Techniques and Residual Stresses (5 papers), Advanced Neural Network Applications (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Hydrogen embrittlement and corrosion behaviors in metals (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (71 citations), Mechanical Engineering (185 citations), Metals and Alloys (12 citations), Civil and Structural Engineering (81 citations) and Computational Mathematics (2 citations). Mingrui Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jinhai Liu, Senxiang Lu, Fengyuan Zuo, Lei Wang, Fuming Qu, Huaguang Zhang, Chen Liu, Jian Feng, Feilong Liu and Zhaolin Chen. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Informatics, Neurocomputing, Mechanical Systems and Signal Processing and IEEE Transactions on Cybernetics.

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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