Yuntao Du

525 total citations
16 papers, 283 citations indexed

About

Yuntao Du is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuntao Du has authored 16 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuntao Du's work include Recommender Systems and Techniques (5 papers), Traffic Prediction and Management Techniques (3 papers) and Advanced Graph Neural Networks (3 papers). Yuntao Du is often cited by papers focused on Recommender Systems and Techniques (5 papers), Traffic Prediction and Management Techniques (3 papers) and Advanced Graph Neural Networks (3 papers). Yuntao Du collaborates with scholars based in China, Singapore and United States. Yuntao Du's co-authors include Yunjun Gao, Ziquan Fang, Lu Chen, Baihua Zheng, Chen Lü, Pan Lu, Christian S. Jensen, Gang Chen, Zhikun Zhang and Lu Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Knowledge and Data Engineering and Neural Networks.

In The Last Decade

Yuntao Du

14 papers receiving 282 citations

Peers

Yuntao Du
Ziquan Fang China
Zhaohui Peng China
Xian Wu United States
Jiabin Tang China
Anjing Luo China
Ioannis Boutsis Greece
Huiqi Hu China
Yuanshao Zhu China
Ziquan Fang China
Yuntao Du
Citations per year, relative to Yuntao Du Yuntao Du (= 1×) peers Ziquan Fang

Countries citing papers authored by Yuntao Du

Since Specialization
Citations

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

Fields of papers citing papers by Yuntao Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuntao Du

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

All Works

16 of 16 papers shown
1.
2.
Du, Yuntao, et al.. (2024). DAFDet: A Unified Dynamic SAR Target Detection Architecture With Asymptotic Fusion Enhancement and Feature Encoding Decoupling. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–22. 2 indexed citations
3.
Du, Yuntao, et al.. (2024). Real-Time Trajectory Synthesis with Local Differential Privacy. 1685–1698. 3 indexed citations
4.
Du, Yuntao, Jianxun Lian, Xiting Wang, et al.. (2023). Towards Explainable Collaborative Filtering with Taste Clusters Learning. arXiv (Cornell University). 3712–3722. 4 indexed citations
5.
Chen, Lu, et al.. (2023). Finding Materialized Models for Model Reuse. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12663–12678.
6.
Du, Yuntao, et al.. (2023). Knowledge-refined Denoising Network for Robust Recommendation. arXiv (Cornell University). 362–371. 13 indexed citations
7.
Du, Yuntao, Ziquan Fang, Lu Chen, et al.. (2023). FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration. 3140–3153. 4 indexed citations
8.
Du, Yuntao, et al.. (2023). LDPTrace: Locally Differentially Private Trajectory Synthesis. Proceedings of the VLDB Endowment. 16(8). 1897–1909. 19 indexed citations
9.
Du, Yuntao, et al.. (2022). MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation. IEEE Transactions on Knowledge and Data Engineering. 35(10). 9850–9863. 61 indexed citations
10.
Gao, Yunjun, et al.. (2022). Self-Guided Learning to Denoise for Robust Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1412–1422. 43 indexed citations
11.
Fang, Ziquan, et al.. (2022). Spatio-Temporal Trajectory Similarity Learning in Road Networks. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 347–356. 32 indexed citations
12.
Du, Yuntao, et al.. (2022). HAKG. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1390–1400. 30 indexed citations
13.
Fang, Ziquan, et al.. (2021). E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training. 696–707. 25 indexed citations
14.
Fang, Ziquan, Pan Lu, Chen Lü, Yuntao Du, & Yunjun Gao. (2021). MDTP. Proceedings of the VLDB Endowment. 14(8). 1289–1297. 35 indexed citations
15.
Mao, Jiali, et al.. (2019). Road Intersection Detection Based on Direction Ratio Statistics Analysis. 46. 288–297. 7 indexed citations
16.
Du, Yuntao, et al.. (2018). Feature-Grouping-Based Two Steps Feature Selection Algorithm in Software Defect Prediction. 173–178. 5 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