Limeng Cui

3.2k total citations · 2 hit papers
33 papers, 2.0k citations indexed

About

Limeng Cui is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Limeng Cui has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 12 papers in Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Limeng Cui's work include Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers) and Spam and Phishing Detection (6 papers). Limeng Cui is often cited by papers focused on Misinformation and Its Impacts (7 papers), Topic Modeling (7 papers) and Spam and Phishing Detection (6 papers). Limeng Cui collaborates with scholars based in United States, China and United Kingdom. Limeng Cui's co-authors include Yong Shi, Zhen‐Song Chen, Zhiquan Qi, Meng Fan, Dongwon Lee, Suhang Wang, Kai Shu, Huan Liu, Yanjie Fu and Fenglong Ma and has published in prestigious journals such as Journal of Dairy Science, IEEE Transactions on Intelligent Transportation Systems and Knowledge-Based Systems.

In The Last Decade

Limeng Cui

30 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic Road Crack Detection Using Random Structured Forests

2016 1.1k citations Yong Shi, Limeng Cui et al. IEEE Transactions on Intelligent Transportation Systems profile →
dEFEND

2019 360 citations Kai Shu, Limeng Cui et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Limeng Cui United States	14	973	634	594	460	287	33	2.0k
Yang Yu China	15	606 0.6×	226 0.4×	44 0.1×	105 0.2×	275 1.0×	98	1.3k
Guo Yu China	23	149 0.2×	758 1.2×	32 0.1×	130 0.3×	97 0.3×	98	1.5k
Tianxing Wu China	26	706 0.7×	230 0.4×	18 0.0×	69 0.1×	1.3k 4.6×	77	1.8k
Kai Gao China	17	108 0.1×	147 0.2×	44 0.1×	47 0.1×	122 0.4×	98	1.1k
Yingchao Zhang China	16	203 0.2×	124 0.2×	59 0.1×	22 0.0×	88 0.3×	72	825
Miloš Stojmenović Serbia	17	57 0.1×	342 0.5×	45 0.1×	358 0.8×	17 0.1×	60	1.1k
Feng Zhu United States	15	45 0.0×	120 0.2×	127 0.2×	232 0.5×	81 0.3×	56	948
Song Yang China	10	25 0.0×	297 0.5×	359 0.6×	214 0.5×	59 0.2×	36	967
Fei Xue China	24	254 0.3×	170 0.3×	42 0.1×	36 0.1×	157 0.5×	111	2.0k

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 of co-authors of Limeng Cui

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tang, Xianfeng, Limeng Cui, Hansu Gu, et al.. (2025). Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data. 2627–2641.

2.

He, Bing, et al.. (2024). Hierarchical Query Classification in E-commerce Search. 338–345. 1 indexed citations

3.

Dai, Enyan, Limeng Cui, Zhengyang Wang, et al.. (2023). A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. 368–379. 5 indexed citations

4.

Wang, Zhengyang, Qingyu Yin, Danqing Zhang, et al.. (2023). Exploiting Intent Evolution in E-commercial Query Recommendation. 5162–5173. 2 indexed citations

5.

Cui, Limeng, et al.. (2022). Detecting False Claims in Low-Resource Regions: A Case Study of Caribbean Islands. 95–102. 2 indexed citations

6.

Cui, Limeng, Xianfeng Tang, Sumeet Katariya, et al.. (2022). ALLIE: Active Learning on Large-scale Imbalanced Graphs. Proceedings of the ACM Web Conference 2022. 690–698. 12 indexed citations

7.

Dou, Yingtong, et al.. (2021). Cross-lingual COVID-19 Fake News Detection. 859–862. 30 indexed citations

8.

Cui, Limeng, et al.. (2020). CONAN: Complementary Pattern Augmentation for Rare Disease Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 614–621. 21 indexed citations

9.

Shu, Kai, Limeng Cui, Suhang Wang, Dongwon Lee, & Huan Liu. (2019). dEFEND. 395–405. 360 indexed citations breakdown →

10.

Cui, Limeng, Jiawei Zhang, Lifang He, & Philip S. Yu. (2019). Multi-view collective tensor decomposition for cross-modal hashing. International Journal of Multimedia Information Retrieval. 8(1). 47–59. 2 indexed citations

11.

Zhang, Jiawei, et al.. (2018). Fake News Detection with Deep Diffusive Network Model.. arXiv (Cornell University). 47 indexed citations

12.

Cui, Limeng, Zhen‐Song Chen, Jiawei Zhang, et al.. (2018). Multi-view Collective Tensor Decomposition for Cross-modal Hashing. 73–81. 4 indexed citations

13.

Zhang, Jiawei, Limeng Cui, & Yanjie Fu. (2017). LATTE: Application Oriented Network Embedding.. 3 indexed citations

14.

Zhang, Jiawei, Congying Xia, Chenwei Zhang, et al.. (2017). BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. 605–614. 45 indexed citations

15.

Cui, Limeng, Jiawei Zhang, Zhen‐Song Chen, Yong Shi, & Philip S. Yu. (2017). Inverse extreme learning machine for learning with label proportions. 10. 576–585. 5 indexed citations

16.

Chen, Zhen‐Song, Zhiquan Qi, Bo Wang, et al.. (2016). Learning with label proportions based on nonparallel support vector machines. Knowledge-Based Systems. 119. 126–141. 15 indexed citations

17.

Shi, Yong, Limeng Cui, Zhiquan Qi, Meng Fan, & Zhen‐Song Chen. (2016). Automatic Road Crack Detection Using Random Structured Forests. IEEE Transactions on Intelligent Transportation Systems. 17(12). 3434–3445. 1050 indexed citations breakdown →

18.

Cui, Limeng, et al.. (2014). A Hierarchy Method Based on LDA and SVM for News Classification. 13. 60–64. 11 indexed citations

19.

Cui, Limeng & Yong Shi. (2014). A Method based on One-class SVM for News Recommendation. Procedia Computer Science. 31. 281–290. 13 indexed citations

20.

Cui, Limeng, et al.. (2008). Prediction of the Nutrient Content in Dairy Manure Using Artificial Neural Network Modeling. Journal of Dairy Science. 91(12). 4822–4829. 22 indexed citations

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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