Mengting Hu

600 total citations
43 papers, 323 citations indexed

About

Mengting Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mengting Hu has authored 43 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mengting Hu's work include Topic Modeling (15 papers), Sentiment Analysis and Opinion Mining (12 papers) and Advanced X-ray and CT Imaging (7 papers). Mengting Hu is often cited by papers focused on Topic Modeling (15 papers), Sentiment Analysis and Opinion Mining (12 papers) and Advanced X-ray and CT Imaging (7 papers). Mengting Hu collaborates with scholars based in China, Spain and United States. Mengting Hu's co-authors include Shiwan Zhao, Zhong Su, Hang Gao, Tiegang Gao, Li Zhang, Honglei Guo, Keke Cai, Hang Gao, Yike Wu and Chao Xue and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Medicine.

In The Last Decade

Mengting Hu

29 papers receiving 314 citations

Peers

Mengting Hu
Comparison fields: 5 of 69
  • Artificial Intelligence 212
  • Computer Vision and Pattern Recognition 62
  • Information Systems 34
  • Ocean Engineering 20
  • Computational Theory and Mathematics 17
Replace G. Deepti Raj with:
G. Deepti Raj India
Srinath Doss Botswana
Seungwan Seo South Korea
Оrken Mamyrbayev Kazakhstan
Abdalraouf Hassan United States
Abdul Wahab Muzaffar Pakistan
Zhixing Tan China
Antonio Carta Italy
G. Deepti Raj India View profile →
Citations per field, relative to Mengting Hu
Mengting Hu · 1×
Citations per year, relative to Mengting Hu
Mengting Hu · 1×

Countries citing papers authored by Mengting Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mengting Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengting Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengting Hu. A scholar is included among the top collaborators of Mengting Hu 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 Mengting Hu. Mengting Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 1
5 0
6 3
7 1
8 0
9 1
10 0
11 0
12 3
13 10
14 7
15 14
16 8
17 28
18 60
19 15
20
Double Verifiable Lossless Secret Sharing Based on Hyper-chaos Generated Random Grid.
1

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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