Mingsheng Long

75 papers and 6.8k indexed citations i.

About

Mingsheng Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mingsheng Long has authored 75 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 50 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mingsheng Long’s work include Domain Adaptation and Few-Shot Learning (41 papers), Multimodal Machine Learning Applications (30 papers) and Human Pose and Action Recognition (15 papers). Mingsheng Long is often cited by papers focused on Domain Adaptation and Few-Shot Learning (41 papers), Multimodal Machine Learning Applications (30 papers) and Human Pose and Action Recognition (15 papers). Mingsheng Long collaborates with scholars based in China, United States and Hong Kong. Mingsheng Long's co-authors include Jianmin Wang, Philip S. Yu, Zhangjie Cao, Michael I. Jordan, Yue Cao, Guiguang Ding, Yunbo Wang, Jiaguang Sun, Han Zhu and Zhongyi Pei and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Mingsheng Long i

Fields of papers citing papers by Mingsheng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingsheng Long

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025