Songze Li

47 papers receiving 1.3k citations

Peers

Songze Li
Comparison fields: 5 of 45
  • Artificial Intelligence 849
  • Computer Networks and Communications 806
  • Electrical and Electronic Engineering 329
  • Information Systems 109
  • Computer Vision and Pattern Recognition 99
Replace András György with:
András György Canada
Johannes Blömer Germany
Arya Mazumdar United States
Tobias J. Oechtering Sweden
Ashutosh Rege United States
Gary J. Minden United States
Deng Tang China
Chip Elliott United States
Sebastian U. Stich Switzerland
Songze Li relative to András György Canada András György's profile →
Citations per field
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András György · 1×
Citations per year

Countries citing papers authored by Songze Li

Since Specialization
Citations

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

Fields of papers citing papers by Songze Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songze Li

This figure shows the co-authorship network connecting the top 25 collaborators of Songze Li. A scholar is included among the top collaborators of Songze Li 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 Songze Li. Songze Li 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
#WorkIndexed citations
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13 25
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15 34
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LAGRANGE CODED COMPUTING: OPTIMAL DESIGN FOR RESILIENCY, SECURITY, AND PRIVACY
86
17
Pipe-SGD: a decentralized pipelined SGD framework for distributed deep net training
27
18
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
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Coded TeraSort
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About Songze Li

Songze Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (22 papers), Privacy-Preserving Technologies in Data (19 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Computer Networks and Communications (806 citations), Artificial Intelligence (849 citations) and Electrical and Electronic Engineering (329 citations). Songze Li has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mohammad Ali Maddah-Ali, A. Salman Avestimehr, Qian Yu, Salman Avestimehr, Mahdi Soltanolkotabi, Netanel Raviv, Giuseppe Caire, Alexander G. Schwing, Nam Sung Kim and Youjie Li. Their work appears in journals such as Scientific Reports, IEEE Transactions on Information Theory and IEEE Journal on Selected Areas in Communications.

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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