Xiaodong Yu

917 total citations
43 papers, 385 citations indexed

About

Xiaodong Yu is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Xiaodong Yu has authored 43 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 16 papers in Hardware and Architecture and 13 papers in Computer Networks and Communications. Recurrent topics in Xiaodong Yu's work include Algorithms and Data Compression (10 papers), Advanced Data Storage Technologies (9 papers) and Parallel Computing and Optimization Techniques (9 papers). Xiaodong Yu is often cited by papers focused on Algorithms and Data Compression (10 papers), Advanced Data Storage Technologies (9 papers) and Parallel Computing and Optimization Techniques (9 papers). Xiaodong Yu collaborates with scholars based in United States, China and Hong Kong. Xiaodong Yu's co-authors include Michela Becchi, Wu-chun Feng, Franck Cappello, Dan Roth, Sheng Di, Bill Lin, Xiang Wang, Dingwen Tao, Kai Zhao and Tekin Biçer and has published in prestigious journals such as Scientific Reports, IEEE Journal on Selected Areas in Communications and Energy.

In The Last Decade

Xiaodong Yu

41 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodong Yu United States 11 191 186 140 47 38 43 385
Yunlian Jiang United States 11 76 0.4× 553 3.0× 540 3.9× 76 1.6× 10 0.3× 21 663
Gary Wong United States 9 74 0.4× 45 0.2× 306 2.2× 20 0.4× 34 0.9× 18 414
Cheng Fu United States 9 339 1.8× 65 0.3× 40 0.3× 122 2.6× 9 0.2× 21 487
Jingfei Kong United States 9 149 0.8× 338 1.8× 324 2.3× 55 1.2× 7 0.2× 12 502
Quan Gan China 9 214 1.1× 23 0.1× 40 0.3× 104 2.2× 10 0.3× 25 404
Amit Sabne United States 12 89 0.5× 184 1.0× 81 0.6× 62 1.3× 76 2.0× 20 524
Peng Du China 11 39 0.2× 234 1.3× 322 2.3× 50 1.1× 7 0.2× 34 496
U. Kebschull Germany 10 37 0.2× 177 1.0× 69 0.5× 6 0.1× 24 0.6× 45 344
Weixing Ji China 11 74 0.4× 223 1.2× 271 1.9× 43 0.9× 9 0.2× 62 397
Daniele Paolo Scarpazza United States 12 179 0.9× 222 1.2× 181 1.3× 51 1.1× 8 0.2× 23 368

Countries citing papers authored by Xiaodong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Yu. A scholar is included among the top collaborators of Xiaodong Yu 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 Xiaodong Yu. Xiaodong Yu 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
3.
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
4.
Di, Sheng, Xiaodong Yu, Yujia Zhai, et al.. (2024). An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. 752–764. 10 indexed citations
5.
Shah, Milan, Xiaodong Yu, Sheng Di, Michela Becchi, & Franck Cappello. (2024). A Portable, Fast, DCT-based Compressor for AI Accelerators. 109–121. 2 indexed citations
6.
Yu, Xiaodong, Weijian Zheng, Sheng Di, et al.. (2024). CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. 309–321. 8 indexed citations
7.
Di, Sheng, Xiaodong Yu, Yujia Zhai, et al.. (2024). gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. 437–448. 8 indexed citations
8.
Di, Sheng, Xiaodong Yu, Yujia Zhai, et al.. (2024). POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. 454–456. 4 indexed citations
9.
Xia, Dong, et al.. (2023). Research on the Magnetostrictive Characteristics of Transformers under DC Bias. Energies. 16(11). 4457–4457. 2 indexed citations
10.
Yu, Xiaodong, et al.. (2023). Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. 1759–1766. 3 indexed citations
11.
Zheng, Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, & Dan Roth. (2022). Capturing the Content of a Document through Complex Event Identification. 331–340. 1 indexed citations
12.
Yu, Xiaodong, Sheng Di, Kai Zhao, et al.. (2022). Ultrafast Error-bounded Lossy Compression for Scientific Datasets. 159–171. 23 indexed citations
13.
Yu, Xiaodong, Tekin Biçer, Rajkumar Kettimuthu, & Ian Foster. (2021). Topology-aware optimizations for multi-GPU ptychographic image reconstruction. 354–366. 9 indexed citations
14.
Fu, Xingyu, et al.. (2020). Design Challenges in Low-resource Cross-lingual Entity Linking. 6418–6432. 5 indexed citations
15.
Yu, Xiaodong, Ya Xiao, Kirk W. Cameron, & Danfeng Yao. (2019). Comparative Measurement of Cache Configurations’ Impacts on Cache Timing Side-Channel Attacks. USENIX Security Symposium. 1 indexed citations
16.
Yu, Xiaodong, et al.. (2019). Application of GB/T19001 Quality Management System in Management of Teaching Laboratory in Universities. University Chemistry. 34(1). 7–13. 1 indexed citations
17.
Yu, Xiaodong, Stephen Mayhew, Mark Sammons, & Dan Roth. (2018). On the Strength of Character Language Models for Multilingual Named Entity Recognition. 8 indexed citations
18.
Yu, Xiaodong, Bill Lin, & Michela Becchi. (2014). Revisiting State Blow-Up: Automatically Building Augmented-FA While Preserving Functional Equivalence. IEEE Journal on Selected Areas in Communications. 32(10). 1822–1833. 25 indexed citations
19.
Yu, Xiaodong & Michela Becchi. (2013). GPU acceleration of regular expression matching for large datasets. 1–10. 52 indexed citations
20.
Yu, Xiaodong, Daniel DeMenthon, & David Doermann. (2008). Support Vector Data Description for image categorization from Internet images. Proceedings - International Conference on Pattern Recognition. 2. 1–4. 8 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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