Dingwen Tao

2.8k total citations
90 papers, 1.6k citations indexed

About

Dingwen Tao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Dingwen Tao has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 52 papers in Artificial Intelligence and 45 papers in Hardware and Architecture. Recurrent topics in Dingwen Tao's work include Parallel Computing and Optimization Techniques (44 papers), Advanced Data Storage Technologies (42 papers) and Algorithms and Data Compression (35 papers). Dingwen Tao is often cited by papers focused on Parallel Computing and Optimization Techniques (44 papers), Advanced Data Storage Technologies (42 papers) and Algorithms and Data Compression (35 papers). Dingwen Tao collaborates with scholars based in United States, China and Australia. Dingwen Tao's co-authors include Franck Cappello, Zizhong Chen, Sheng Di, Xin Liang, Sihuan Li, Jiannan Tian, Kai Zhao, Hanqi Guo, Sheng Di and Sian Jin and has published in prestigious journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Dingwen Tao

84 papers receiving 1.6k citations

Peers

Dingwen Tao
Xin Liang United States
Sheng Di United States
Shoaib Kamil United States
Uday Bondhugula India
Narayanan Sundaram United States
Sara S. Baghsorkhi United States
Louis-Noël Pouchet United States
Duane Merrill United States
Daniel Reiter Horn United States
Kevin Barker United States
Xin Liang United States
Dingwen Tao
Citations per year, relative to Dingwen Tao Dingwen Tao (= 1×) peers Xin Liang

Countries citing papers authored by Dingwen Tao

Since Specialization
Citations

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

Fields of papers citing papers by Dingwen Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingwen Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Dingwen Tao. A scholar is included among the top collaborators of Dingwen Tao 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 Dingwen Tao. Dingwen Tao 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.
Li, Qiao, et al.. (2026). High Performance Singular Value Decomposition on GPU Architectures. ACM Transactions on Architecture and Code Optimization. 23(1). 1–24. 1 indexed citations
2.
Zhang, Lihong, Sheng Di, Robert Underwood, et al.. (2025). LCP: Enhancing Scientific Data Management with L ossy C ompression for P articles. Proceedings of the ACM on Management of Data. 3(1). 1–27. 1 indexed citations
3.
4.
Tian, Jiannan, et al.. (2025). High-performance Visual Semantics Compression for AI-Driven Science. 557–559. 1 indexed citations
5.
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Tian, Jiannan, Sheng Di, Sian Jin, et al.. (2025). COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. 212–224. 1 indexed citations
7.
Tian, Jiannan, Sheng Di, Robert Underwood, et al.. (2024). CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. 1–15. 8 indexed citations
8.
Tian, Jiannan, Kai Zhao, Zarija Lukić, et al.. (2024). A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. eScholarship (California Digital Library). 1–18. 4 indexed citations
9.
Hao, Yuchen, Chunshu Wu, Pouya Haghi, et al.. (2023). Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. 336–347. 16 indexed citations
10.
11.
Jin, Sian, et al.. (2023). TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Transactions on Parallel and Distributed Systems. 35(3). 421–438. 6 indexed citations
12.
Guan, Qiang, et al.. (2023). Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. 11–13. 1 indexed citations
13.
Zhang, Chengming, Yu Gong, Miao Yin, et al.. (2023). HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10464–10472. 8 indexed citations
14.
Liang, Xin, Kai Zhao, Sheng Di, et al.. (2022). SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Transactions on Big Data. 9(2). 485–498. 86 indexed citations
15.
Mao, Ying, et al.. (2021). Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. IEEE Systems Journal. 16(3). 3770–3781. 21 indexed citations
16.
Zou, Xiangyu, Tao Lü, Wen Xia, et al.. (2020). Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. IEEE Transactions on Parallel and Distributed Systems. 31(7). 1665–1680. 12 indexed citations
17.
Chen, Jieyang, et al.. (2020). ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. arXiv (Cornell University). 3 indexed citations
18.
Mao, Ying, et al.. (2019). Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. 278–287. 25 indexed citations
19.
Di, Sheng, Yuri Alexeev, Dingwen Tao, et al.. (2018). PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. 1–11. 22 indexed citations
20.
Wu, Panruo, Nathan DeBardeleben, Qiang Guan, et al.. (2017). Silent Data Corruption Resilient Two-sided Matrix Factorizations. ACM SIGPLAN Notices. 52(8). 415–427. 2 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