Limeng Cui

3.2k citations
33 papers · 2.0k indexed · 2 hit papers · h-index 14

Limeng Cui

30 papers receiving 1.9k citations

Hit Papers

dEFEND36020162026201920222505007501000

Peers

Limeng Cui
Comparison fields: 5 of 98
  • Civil and Structural Engineering 973
  • Information Systems 460
  • Artificial Intelligence 634
  • Industrial and Manufacturing Engineering 143
  • Sociology and Political Science 594
Replace Yang Yu with:
Yang Yu China
Tianxing Wu China
Miloš Stojmenović Serbia
Guo Yu China
Kai Gao China
Yingchao Zhang China
Feng Zhu United States
Gerry Dozier United States
Fei Xue China
Limeng Cui relative to Yang Yu China Yang Yu's profile →
Citations per field
00.5×10×13.5×
Yang Yu · 1×
Citations per year

Countries citing papers authored by Limeng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Limeng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20235
4 20232
5 20222
6 20226
7 202130
8 202021
9 20192
10 2019360
11
Fake News Detection with Deep Diffusive Network Model.
201847
12 20184
13 201745
14
LATTE: Application Oriented Network Embedding.
20173
15 20175
16
Automatic Road Crack Detection Using Random Structured Forestsbreakdown →
20161050
17 201615
18 201641
19 201411
20 200822

About Limeng Cui

Limeng Cui is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers), Spam and Phishing Detection (6 papers), Text and Document Classification Technologies (6 papers), Advanced Graph Neural Networks (6 papers), Web Data Mining and Analysis (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Civil and Structural Engineering (973 citations), Information Systems (460 citations), Artificial Intelligence (634 citations), Industrial and Manufacturing Engineering (143 citations) and Sociology and Political Science (594 citations). Limeng Cui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yong Shi, Zhen‐Song Chen, Zhiquan Qi, Meng Fan, Dongwon Lee, Suhang Wang, Huan Liu, Kai Shu, Yanjie Fu and Fenglong Ma. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, International Journal of Multimedia Information Retrieval, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems and Neural Computing and Applications.

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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