Qitian Wu

683 total citations
19 papers, 169 citations indexed

About

Qitian Wu is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Qitian Wu has authored 19 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Qitian Wu's work include Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (8 papers) and Topic Modeling (4 papers). Qitian Wu is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Recommender Systems and Techniques (8 papers) and Topic Modeling (4 papers). Qitian Wu collaborates with scholars based in China, United States and Mexico. Qitian Wu's co-authors include Junchi Yan, Xiaofeng Gao, Guihai Chen, Paul Weng, Chenxiao Yang, Chaoqi Yang, Lei Jiang, Junwei Pan, Hengrui Zhang and Xiaochun Yang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Qitian Wu

16 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qitian Wu China 8 118 56 38 25 16 19 169
Yanmin Shang China 7 181 1.5× 75 1.3× 58 1.5× 19 0.8× 9 0.6× 26 221
Mostofa Patwary United States 5 147 1.2× 26 0.5× 16 0.4× 39 1.6× 13 0.8× 10 210
Yongduo Sui China 7 187 1.6× 44 0.8× 15 0.4× 39 1.6× 13 0.8× 17 228
Matthias Broecheler United States 5 121 1.0× 29 0.5× 46 1.2× 27 1.1× 8 0.5× 7 171
Yuanping Nie China 7 109 0.9× 59 1.1× 82 2.2× 16 0.6× 5 0.3× 31 202
Vikram Nitin United States 5 63 0.5× 27 0.5× 37 1.0× 24 1.0× 9 0.6× 6 107
Sandra de Amo Brazil 7 127 1.1× 41 0.7× 28 0.7× 22 0.9× 87 5.4× 20 212
Dai Quoc Nguyen Vietnam 9 167 1.4× 93 1.7× 11 0.3× 24 1.0× 12 0.8× 17 243
Hiroyuki Shinnou Japan 7 227 1.9× 81 1.4× 16 0.4× 50 2.0× 7 0.4× 49 288

Countries citing papers authored by Qitian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qitian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qitian Wu

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

All Works

19 of 19 papers shown
1.
Wu, Qitian, et al.. (2024). Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. 3173–3184. 7 indexed citations
2.
Wu, Qitian, et al.. (2024). Graph Out-of-Distribution Generalization via Causal Intervention. 850–860. 11 indexed citations
3.
Wu, Qitian, et al.. (2024). GeoMix: Towards Geometry-Aware Data Augmentation. arXiv (Cornell University). 4500–4511. 2 indexed citations
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Wu, Qitian, et al.. (2023). GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. arXiv (Cornell University). 3525–3536. 3 indexed citations
7.
Wu, Qitian, et al.. (2022). Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 824–834. 4 indexed citations
8.
Yang, Chenxiao, et al.. (2022). Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2355–2361. 10 indexed citations
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Wu, Qitian, et al.. (2022). DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1483–1492. 2 indexed citations
11.
Wu, Qitian, et al.. (2022). ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4478–4490. 2 indexed citations
12.
Wu, Qitian, Rui Gao, & Hongyuan Zha. (2021). Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. Neural Information Processing Systems. 34.
13.
Wu, Qitian, et al.. (2021). Seq2Bubbles. 2160–2169. 6 indexed citations
14.
Wu, Qitian, et al.. (2021). Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 5144–5155. 15 indexed citations
15.
Wu, Qitian, et al.. (2019). Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. arXiv (Cornell University). 32. 3842–3851. 4 indexed citations
16.
Wu, Qitian, Lei Jiang, Xiaofeng Gao, Xiaochun Yang, & Guihai Chen. (2019). Feature Evolution Based Multi-Task Learning for Collaborative Filtering with Social Trust. 3877–3883. 11 indexed citations
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18.
Wu, Qitian, Chaoqi Yang, Xiaofeng Gao, Peng He, & Guihai Chen. (2018). EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction. 1296–1301. 6 indexed citations
19.
Wu, Qitian, Chaoqi Yang, Hengrui Zhang, et al.. (2018). Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. 517–526. 14 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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2026