Da Wang

40 papers and 403 indexed citations i.

About

Da Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Da Wang has authored 40 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Da Wang’s work include Parallel Computing and Optimization Techniques (6 papers), Algorithms and Data Compression (5 papers) and Cloud Computing and Resource Management (5 papers). Da Wang is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Algorithms and Data Compression (5 papers) and Cloud Computing and Resource Management (5 papers). Da Wang collaborates with scholars based in China, United States and Sweden. Da Wang's co-authors include Gregory W. Wornell, Gauri Joshi, Amir Ingber, Martin Servin, Yuval Kochman, Claude Lacoursière, Shutang Liu, Wen Wang, Arya Mazumdar and Frank R. Kschischang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and Sensors.

In The Last Decade

Co-authorship network of co-authors of Da Wang i

Fields of papers citing papers by Da Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Da Wang

Since Specialization
Citations

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

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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