Meng Qu

3.0k total citations
27 papers, 1.2k citations indexed

About

Meng Qu is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Meng Qu has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Management Science and Operations Research. Recurrent topics in Meng Qu's work include Topic Modeling (15 papers), Advanced Graph Neural Networks (14 papers) and Natural Language Processing Techniques (7 papers). Meng Qu is often cited by papers focused on Topic Modeling (15 papers), Advanced Graph Neural Networks (14 papers) and Natural Language Processing Techniques (7 papers). Meng Qu collaborates with scholars based in United States, China and Canada. Meng Qu's co-authors include Xiang Ren, Jiawei Han, Hui Xiong, Woojeong Jin, Xisen Jin, Junming Liu, Heng Ji, Wenqi He, Hengshu Zhu and Guannan Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and IEEE Transactions on Mobile Computing.

In The Last Decade

Meng Qu

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Qu United States 17 855 250 203 161 143 27 1.2k
Peng Han China 17 359 0.4× 255 1.0× 390 1.9× 183 1.1× 62 0.4× 52 981
Yudian Zheng China 17 874 1.0× 130 0.5× 285 1.4× 128 0.8× 368 2.6× 29 1.4k
Freddy Lécué United Kingdom 16 630 0.7× 78 0.3× 398 2.0× 205 1.3× 73 0.5× 68 1.1k
Jiamou Liu New Zealand 13 280 0.3× 76 0.3× 203 1.0× 96 0.6× 67 0.5× 96 692
Tieyun Qian China 20 1.2k 1.4× 249 1.0× 659 3.2× 168 1.0× 84 0.6× 82 1.7k
Kaiqi Zhao New Zealand 15 441 0.5× 244 1.0× 375 1.8× 161 1.0× 43 0.3× 43 913
Ana Garcı́a-Serrano Spain 12 323 0.4× 80 0.3× 76 0.4× 93 0.6× 24 0.2× 66 592
Xinjiang Lu China 13 211 0.2× 228 0.9× 148 0.7× 65 0.4× 19 0.1× 46 619
Xun Zheng China 12 504 0.6× 60 0.2× 152 0.7× 220 1.4× 36 0.3× 22 813

Countries citing papers authored by Meng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Qu. A scholar is included among the top collaborators of Meng Qu 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 Meng Qu. Meng Qu 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
1.
Nan, Guoshun, Rachel Liang, Wu Deng, et al.. (2025). Plugging and Breathing on the Air: A Practical Defense System for Deep Learning-Based Wireless Semantic Communications. IEEE Transactions on Mobile Computing. 24(9). 8683–8699. 1 indexed citations
2.
Li, Yu, Meng Qu, Jian Tang, & Yi Chang. (2023). Signed Laplacian Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4444–4452. 6 indexed citations
3.
Luo, Xiao, Wei Ju, Meng Qu, et al.. (2022). CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 899–912. 52 indexed citations
4.
Ju, Wei, et al.. (2022). KGNN. arXiv (Cornell University). 421–429. 29 indexed citations
5.
Zhang, Zhao, Fuzhen Zhuang, Meng Qu, et al.. (2021). Knowledge graph embedding with shared latent semantic units. Neural Networks. 139. 140–148. 9 indexed citations
6.
Verma, Vikas, Meng Qu, Kenji Kawaguchi, et al.. (2021). GraphMix: Improved Training of GNNs for Semi-Supervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 10024–10032. 61 indexed citations
7.
Qu, Meng, et al.. (2020). Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs. International Conference on Machine Learning. 1. 7867–7876. 8 indexed citations
8.
Jin, Woojeong, Meng Qu, Xisen Jin, & Xiang Ren. (2020). Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. 6669–6683. 187 indexed citations
9.
Jin, Woojeong, et al.. (2019). Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph. arXiv (Cornell University). 14 indexed citations
10.
Verma, Vikas, Meng Qu, Alex Lamb, et al.. (2019). GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. 22 indexed citations
11.
Li, Qi, Meng Jiang, Xikun Zhang, et al.. (2018). TruePIE. 1675–1684. 13 indexed citations
12.
13.
Qu, Meng, Jian Tang, & Jiawei Han. (2018). Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. 468–476. 29 indexed citations
14.
Qu, Meng, Xiang Ren, Yu Zhang, & Jiawei Han. (2018). Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. 1257–1266. 31 indexed citations
15.
Zhang, Zhao, Fuzhen Zhuang, Meng Qu, Fen Lin, & Qing He. (2018). Knowledge Graph Embedding with Hierarchical Relation Structure. 45 indexed citations
16.
Ren, Xiang, Jiaming Shen, Meng Qu, et al.. (2017). Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. 55–60. 9 indexed citations
17.
Liu, Yanchi, Chuanren Liu, Bin Liu, Meng Qu, & Hui Xiong. (2016). Unified Point-of-Interest Recommendation with Temporal Interval Assessment. 1015–1024. 92 indexed citations
18.
Ren, Xiang, Wenqi He, Meng Qu, et al.. (2016). AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. 84 indexed citations
19.
Liu, Junming, Meng Qu, Weiwei Chen, et al.. (2015). Station Site Optimization in Bike Sharing Systems. View. 883–888. 82 indexed citations
20.
Qu, Meng, Hengshu Zhu, Junming Liu, Guannan Liu, & Hui Xiong. (2014). A cost-effective recommender system for taxi drivers. 45–54. 133 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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