Hao Jin

5 papers and 231 indexed citations i.

About

Hao Jin is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hao Jin has authored 5 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Hao Jin’s work include Cryptography and Data Security (3 papers), Blockchain Technology Applications and Security (3 papers) and Cloud Data Security Solutions (2 papers). Hao Jin is often cited by papers focused on Cryptography and Data Security (3 papers), Blockchain Technology Applications and Security (3 papers) and Cloud Data Security Solutions (2 papers). Hao Jin collaborates with scholars based in United States and China. Hao Jin's co-authors include Jomol Mathew, Yan Luo, Peilong Li, Hong Jiang, Ke Zhou, Chunhua Li, Yunsheng Ma, Chunyang Hu, Yu Cao and Jichun Ye and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and IEEE Systems Journal.

In The Last Decade

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

Fields of papers citing papers by Hao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hao Jin

Since Specialization
Citations

This map shows the geographic impact of Hao 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 Hao Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao 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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2025