Hai Jin

890 papers and 10.6k indexed citations i.

About

Hai Jin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Hai Jin has authored 890 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 464 papers in Computer Networks and Communications, 335 papers in Information Systems and 287 papers in Artificial Intelligence. Recurrent topics in Hai Jin’s work include Cloud Computing and Resource Management (193 papers), Caching and Content Delivery (140 papers) and Parallel Computing and Optimization Techniques (131 papers). Hai Jin is often cited by papers focused on Cloud Computing and Resource Management (193 papers), Caching and Content Delivery (140 papers) and Parallel Computing and Optimization Techniques (131 papers). Hai Jin collaborates with scholars based in China, United States and Australia. Hai Jin's co-authors include Xiaofei Liao, Fangming Liu, Deqing Zou, Qiang He, Yun Yang, Feifei Chen, Xuanhua Shi, Song Wu, Peng Xu and Fei Xu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Hai Jin i

Fields of papers citing papers by Hai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Jin

Since Specialization
Citations

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