Qingxiu Dong

10 papers and 117 indexed citations i.

About

Qingxiu Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qingxiu Dong has authored 10 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Qingxiu Dong’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (5 papers). Qingxiu Dong is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (5 papers). Qingxiu Dong collaborates with scholars based in China, United States and Hong Kong. Qingxiu Dong's co-authors include Jingjing Xu, Zhifang Sui, Lei Li, Lei Li, Baobao Chang, Damai Dai, Ce Zheng, Zhiyong Wu, Lingpeng Kong and Shujian Huang and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

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

Fields of papers citing papers by Qingxiu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingxiu Dong

Since Specialization
Citations

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