Sheng Di

1.8k total citations · 1 hit paper
64 papers, 1.2k citations indexed

About

Sheng Di is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Sheng Di has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Hardware and Architecture and 25 papers in Artificial Intelligence. Recurrent topics in Sheng Di's work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (24 papers) and Algorithms and Data Compression (12 papers). Sheng Di is often cited by papers focused on Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (24 papers) and Algorithms and Data Compression (12 papers). Sheng Di collaborates with scholars based in United States, China and Hong Kong. Sheng Di's co-authors include Franck Cappello, Leonardo Bautista-Gomez, Zizhong Chen, Dingwen Tao, Kai Sun, Abdul Latif, Aown Abbas, Muhammad Bilal, Youbin Si and Muhammad Azeem and has published in prestigious journals such as Environmental Pollution, IEEE Transactions on Visualization and Computer Graphics and Social Indicators Research.

In The Last Decade

Sheng Di

56 papers receiving 1.1k citations

Hit Papers

Fast Error-Bounded Lossy HPC Data Compression with SZ 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Sheng Di
Comparison fields: 5 of 107
  • Computer Networks and Communications 572
  • Artificial Intelligence 375
  • Hardware and Architecture 355
  • Computer Vision and Pattern Recognition 203
  • Electrical and Electronic Engineering 167
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Qi Guo China View profile →
Citations per field, relative to Sheng Di
Sheng Di · 1×
Citations per year, relative to Sheng Di
Sheng Di · 1×

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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 2
6 0
7 0
8 0
9 8
10 4
11 2
12 8
13 8
14 30
15 13
16 86
17 159
18
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation
3
19 38
20
Ecological Risk Assessment of Sediment Heavy Metals Pollution in Anhui Reach of Huaihe River
2

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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