Menghui Niu

653 total citations
17 papers, 537 citations indexed

About

Menghui Niu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Civil and Structural Engineering. According to data from OpenAlex, Menghui Niu has authored 17 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Civil and Structural Engineering. Recurrent topics in Menghui Niu's work include Industrial Vision Systems and Defect Detection (9 papers), Infrastructure Maintenance and Monitoring (8 papers) and Optical measurement and interference techniques (5 papers). Menghui Niu is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Infrastructure Maintenance and Monitoring (8 papers) and Optical measurement and interference techniques (5 papers). Menghui Niu collaborates with scholars based in China and United Kingdom. Menghui Niu's co-authors include Yunhui Yan, Kechen Song, Liming Huang, Defu Zhang, Yanyan Wang, Qinggang Meng, Shuai Ma, Yu He, Jing Xu and Hongkun Tian and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Menghui Niu

16 papers receiving 522 citations

Peers

Menghui Niu
Comparison fields: 5 of 49
  • Industrial and Manufacturing Engineering 281
  • Computer Vision and Pattern Recognition 247
  • Civil and Structural Engineering 196
  • Mechanical Engineering 160
  • Computational Mechanics 117
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Citations per field, relative to Menghui Niu
Menghui Niu · 1×
Citations per year, relative to Menghui Niu
Menghui Niu · 1×

Countries citing papers authored by Menghui Niu

Since Specialization
Citations

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

Fields of papers citing papers by Menghui Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menghui Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Menghui Niu. A scholar is included among the top collaborators of Menghui Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Menghui Niu. Menghui Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 18
3 41
4 19
5 56
6 16
7 21
8 65
9 46
10 81
11 126
12 6
13 8
14 12
15 2
16 13
17
Detecting Photographic Cropping Based on Vanishing Points
7

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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