Daxin Jiang

103 papers and 3.3k indexed citations i.

About

Daxin Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daxin Jiang has authored 103 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 37 papers in Computer Vision and Pattern Recognition and 29 papers in Information Systems. Recurrent topics in Daxin Jiang’s work include Topic Modeling (72 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (32 papers). Daxin Jiang is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (32 papers). Daxin Jiang collaborates with scholars based in China, United States and Canada. Daxin Jiang's co-authors include Nan Duan, Aidong Zhang, Chun Tang, Ming Gong, Linjun Shou, Duyu Tang, Jian Pei, Ming Zhou, Daya Guo and Gen Li and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

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

Fields of papers citing papers by Daxin Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daxin Jiang

Since Specialization
Citations

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