Qiaoyu Tan

1.1k total citations
27 papers, 478 citations indexed

About

Qiaoyu Tan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiaoyu Tan has authored 27 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 10 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiaoyu Tan's work include Advanced Graph Neural Networks (18 papers), Topic Modeling (9 papers) and Recommender Systems and Techniques (8 papers). Qiaoyu Tan is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Topic Modeling (9 papers) and Recommender Systems and Techniques (8 papers). Qiaoyu Tan collaborates with scholars based in United States, China and Hong Kong. Qiaoyu Tan's co-authors include Ninghao Liu, Xia Hu, Xiao Huang, Jingren Zhou, Hongxia Yang, Jianwei Zhang, Jiangchao Yao, Xing Zhao, Li Li and Hu Xia and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Scientific Data and Data Mining and Knowledge Discovery.

In The Last Decade

Qiaoyu Tan

25 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiaoyu Tan United States 12 359 222 104 57 52 27 478
Xuezhi Cao China 10 300 0.8× 241 1.1× 84 0.8× 39 0.7× 58 1.1× 21 408
Yantao Jia China 14 508 1.4× 169 0.8× 61 0.6× 50 0.9× 69 1.3× 40 649
Yuhan Quan China 5 344 1.0× 342 1.5× 109 1.0× 53 0.9× 29 0.6× 7 498
Woojeong Jin United States 10 488 1.4× 163 0.7× 126 1.2× 42 0.7× 88 1.7× 16 565
Yinglong Xia United States 13 326 0.9× 87 0.4× 96 0.9× 75 1.3× 85 1.6× 53 437
Wendi Ji China 9 246 0.7× 254 1.1× 66 0.6× 26 0.5× 17 0.3× 18 395
Fangli Xu China 10 311 0.9× 176 0.8× 87 0.8× 30 0.5× 32 0.6× 17 401
Yuanfu Lu China 10 538 1.5× 284 1.3× 100 1.0× 62 1.1× 207 4.0× 12 637
Yuhao Yang China 10 509 1.4× 477 2.1× 120 1.2× 64 1.1× 31 0.6× 15 661
Houye Ji China 8 510 1.4× 159 0.7× 112 1.1× 38 0.7× 85 1.6× 10 593

Countries citing papers authored by Qiaoyu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Qiaoyu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaoyu Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Qiaoyu Tan. A scholar is included among the top collaborators of Qiaoyu Tan 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 Qiaoyu Tan. Qiaoyu Tan 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.
Feng, Yang, Sheng Chen, ChengHe Guan, et al.. (2025). Dataset for visitations of public green spaces in Shanghai, China. Scientific Data. 12(1). 1260–1260. 1 indexed citations
2.
Ding, Sirui, et al.. (2025). UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. 973–981. 3 indexed citations
3.
4.
Tan, Qiaoyu, et al.. (2024). Graph Contrastive Learning With Personalized Augmentation. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6305–6316. 10 indexed citations
5.
Jin, Wei, Haohan Wang, Daochen Zha, et al.. (2024). DCAI: Data-centric Artificial Intelligence. 1482–1485. 2 indexed citations
6.
Tan, Qiaoyu, et al.. (2024). DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution. ACM Transactions on Intelligent Systems and Technology. 15(5). 1–21. 1 indexed citations
7.
Tan, Qiaoyu, et al.. (2024). Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. 2056–2066. 2 indexed citations
8.
9.
Tan, Qiaoyu, et al.. (2023). Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1667–1682. 10 indexed citations
10.
Gu, Ming, et al.. (2023). Homophily-enhanced Structure Learning for Graph Clustering. 577–586. 13 indexed citations
11.
Dong, Yushun, et al.. (2023). GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. 2259–2269. 15 indexed citations
12.
Tan, Qiaoyu, et al.. (2023). S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. 787–795. 61 indexed citations
13.
Huang, Xiao, et al.. (2023). Active Ensemble Learning for Knowledge Graph Error Detection. 877–885. 11 indexed citations
14.
Huang, Xiao, et al.. (2023). Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2519–2527. 8 indexed citations
15.
Tan, Qiaoyu, et al.. (2023). Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Transactions on Knowledge and Data Engineering. 36(3). 972–986. 7 indexed citations
16.
Hubbard, David, et al.. (2022). Analysis Of Acknowledgments of Libraries in the Journal Literature Using Machine Learning. Proceedings of the Association for Information Science and Technology. 59(1). 709–711. 1 indexed citations
17.
Zha, Daochen, et al.. (2022). Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2476–2485. 9 indexed citations
18.
Tan, Qiaoyu, et al.. (2021). Subtractive Aggregation for Attributed Network Anomaly Detection. 3672–3676. 19 indexed citations
19.
Tan, Qiaoyu, Ninghao Liu, Xing Zhao, et al.. (2020). Learning to Hash with Graph Neural Networks for Recommender Systems. 1988–1998. 61 indexed citations
20.
Tan, Qiaoyu, Ninghao Liu, & Xia Hu. (2019). Deep Representation Learning for Social Network Analysis. Frontiers in Big Data. 2. 2–2. 61 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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