Nan Jiang

155 papers and 2.2k indexed citations i.

About

Nan Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nan Jiang has authored 155 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 29 papers in Computer Networks and Communications. Recurrent topics in Nan Jiang’s work include Reinforcement Learning in Robotics (16 papers), Advanced Vision and Imaging (10 papers) and Machine Learning and Algorithms (9 papers). Nan Jiang is often cited by papers focused on Reinforcement Learning in Robotics (16 papers), Advanced Vision and Imaging (10 papers) and Machine Learning and Algorithms (9 papers). Nan Jiang collaborates with scholars based in China, United States and Australia. Nan Jiang's co-authors include Zhelong Wang, Sen Qiu, Hongkai Zhao, Hongyu Zhao, Yi An, Ruichen Liu, Long Liu, Xin Miao, Giancarlo Fortino and Wenyu Liu and has published in prestigious journals such as Diabetes, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Nan Jiang i

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Fields of papers citing papers by Nan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nan Jiang

Since Specialization

Citations

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