Sheng Di

3.9k total citations
126 papers, 2.1k citations indexed

About

Sheng Di is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Sheng Di has authored 126 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Networks and Communications, 62 papers in Artificial Intelligence and 52 papers in Hardware and Architecture. Recurrent topics in Sheng Di's work include Parallel Computing and Optimization Techniques (51 papers), Advanced Data Storage Technologies (46 papers) and Algorithms and Data Compression (39 papers). Sheng Di is often cited by papers focused on Parallel Computing and Optimization Techniques (51 papers), Advanced Data Storage Technologies (46 papers) and Algorithms and Data Compression (39 papers). Sheng Di collaborates with scholars based in United States, China and Hong Kong. Sheng Di's co-authors include Franck Cappello, Zizhong Chen, Dingwen Tao, Xin Liang, Derrick Kondo, Walfredo Cirne, Kai Zhao, Cho‐Li Wang, Sihuan Li and Song Wu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computers and Future Generation Computer Systems.

In The Last Decade

Sheng Di

118 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sheng Di 1.3k 776 647 559 469 126 2.1k
Narayanan Sundaram 761 0.6× 658 0.8× 690 1.1× 508 0.9× 951 2.0× 31 1.8k
Timothy G. Mattson 1.1k 0.9× 305 0.4× 966 1.5× 352 0.6× 179 0.4× 65 1.7k
Dingwen Tao 865 0.7× 737 0.9× 688 1.1× 98 0.2× 443 0.9× 90 1.6k
Cevdet Aykanat 1.1k 0.9× 375 0.5× 656 1.0× 469 0.8× 309 0.7× 109 1.8k
Martin Burtscher 2.0k 1.6× 718 0.9× 2.1k 3.3× 487 0.9× 673 1.4× 122 3.1k
José E. Moreira 1.8k 1.4× 417 0.5× 1.3k 2.0× 698 1.2× 199 0.4× 129 2.4k
Bongki Moon 2.4k 1.9× 1.0k 1.3× 533 0.8× 815 1.5× 358 0.8× 85 3.3k
Rudolf Eigenmann 2.0k 1.6× 470 0.6× 2.3k 3.5× 688 1.2× 132 0.3× 127 2.8k
Jidong Zhai 959 0.8× 543 0.7× 611 0.9× 518 0.9× 443 0.9× 120 1.6k
Kimberly Keeton 2.6k 2.1× 437 0.6× 1.5k 2.3× 1000 1.8× 202 0.4× 72 3.3k

Countries citing papers authored by Sheng Di

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Di

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Di. A scholar is included among the top collaborators of Sheng Di 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 Sheng Di. Sheng Di 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.
2.
Balaprakash, Prasanna, Franck Cappello, Ewa Deelman, et al.. (2025). SWARM: Reimagining scientific workflow management systems in a distributed world. The International Journal of High Performance Computing Applications. 39(5). 692–712. 2 indexed citations
3.
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
4.
Di, Sheng, et al.. (2025). lsCOMP: Efficient Light Source Compression. 2006–2023. 1 indexed citations
5.
Di, Sheng, et al.. (2025). GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast. 2056–2075. 1 indexed citations
6.
Bautista-Gomez, Leonardo, Anne Benoît, Sheng Di, et al.. (2024). A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?. Future Generation Computer Systems. 161. 315–328. 3 indexed citations
7.
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
8.
Di, Sheng, Jon C. Calhoun, Kibaek Kim, et al.. (2024). FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. Apollo (University of Cambridge). 1187–1188.
9.
Di, Sheng, Jon C. Calhoun, Kibaek Kim, et al.. (2024). FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. 577–588. 4 indexed citations
10.
Di, Sheng, et al.. (2024). Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. 582–594. 3 indexed citations
11.
Di, Sheng, Kai Zhao, Xin Liang, et al.. (2024). High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proceedings of the ACM on Management of Data. 2(1). 1–27. 14 indexed citations
12.
Li, Nan, et al.. (2023). Correlation of White Blood Cell, Neutrophils, and Hemoglobin with Metabolic Syndrome and Its Components. Diabetes Metabolic Syndrome and Obesity. Volume 16. 1347–1355. 6 indexed citations
13.
Underwood, Robert, et al.. (2023). Black-box statistical prediction of lossy compression ratios for scientific data. The International Journal of High Performance Computing Applications. 37(3-4). 412–433. 6 indexed citations
14.
15.
Underwood, Robert, Jon C. Calhoun, Sheng Di, Amy Apon, & Franck Cappello. (2022). OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3505–3519. 10 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.
Wu, Song, Xinyu Zhao, Sheng Di, et al.. (2020). Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control. IEEE Transactions on Computers. 70(7). 992–1005. 1 indexed citations
18.
Wang, Xinhou, Kezhi Wang, Song Wu, et al.. (2018). Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network. IEEE Transactions on Parallel and Distributed Systems. 29(11). 2429–2445. 85 indexed citations
19.
Shi, Xuanhua, et al.. (2017). Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model. IEEE Transactions on Knowledge and Data Engineering. 30(1). 29–42. 36 indexed citations
20.
Di, Sheng, Derrick Kondo, & Walfredo Cirne. (2012). Host load prediction in a Google compute cloud with a Bayesian model. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 88 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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