Chenqian Yan

4 papers and 314 indexed citations i.

About

Chenqian Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Chenqian Yan has authored 4 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Chenqian Yan’s work include Neural Networks and Applications (2 papers), Advanced Neural Network Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Chenqian Yan is often cited by papers focused on Neural Networks and Applications (2 papers), Advanced Neural Network Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Chenqian Yan collaborates with scholars based in United States, China and United Kingdom. Chenqian Yan's co-authors include Rongrong Ji, Baochang Zhang, Shaohui Lin, Feiyue Huang, Liujuan Cao, Qixiang Ye, David Doermann, Xiawu Zheng, Huixia Li and Xinyang Jiang and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Journal of Image and Graphics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Chenqian Yan i

Fields of papers citing papers by Chenqian Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chenqian Yan

Since Specialization
Citations

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