Fang Dong

About

Fang Dong is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fang Dong has authored 110 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 48 papers in Information Systems and 29 papers in Artificial Intelligence. Recurrent topics in Fang Dong’s work include Cloud Computing and Resource Management (35 papers), Distributed and Parallel Computing Systems (15 papers) and Caching and Content Delivery (15 papers). Fang Dong is often cited by papers focused on Cloud Computing and Resource Management (35 papers), Distributed and Parallel Computing Systems (15 papers) and Caching and Content Delivery (15 papers). Fang Dong collaborates with scholars based in China, Australia and United Kingdom. Fang Dong's co-authors include Junzhou Luo, Jun Shen, Lijuan Wang, Aibo Song, Jinghui Zhang, Jiahui Jin, Dian Shen, Junxue Zhang, Alister G. Burr and Jiuxin Cao and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Co-authorship network of co-authors of Fang Dong i

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Fields of papers citing papers by Fang Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Dong

Since Specialization

Citations

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