Haotong Qin

About

Haotong Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Haotong Qin has authored 27 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Haotong Qin’s work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (4 papers). Haotong Qin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers) and Multimodal Machine Learning Applications (4 papers). Haotong Qin collaborates with scholars based in China, United States and Switzerland. Haotong Qin's co-authors include Xianglong Liu, Ruihao Gong, Jingkuan Song, Nicu Sebe, Xiao Bai, Fengwei Yu, Mingzhu Shen, Xiangguo Zhang, Jiakai Wang and Yifu Ding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Energy Economics.

In The Last Decade

Co-authorship network of co-authors of Haotong Qin i

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Fields of papers citing papers by Haotong Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haotong Qin

Since Specialization

Citations

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