Min Xian

49 papers and 1.1k indexed citations i.

About

Min Xian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Min Xian has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Min Xian’s work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Image Segmentation Techniques (10 papers). Min Xian is often cited by papers focused on AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Image Segmentation Techniques (10 papers). Min Xian collaborates with scholars based in United States and China. Min Xian's co-authors include Aleksandar Vakanski, Yingtao Zhang, Heng-Da Cheng, Jianrui Ding, Boyu Zhang, Fei Xu, H.D. Cheng, Haotian Wang, Xianglong Tang and Chunping Ning and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Min Xian i

Fields of papers citing papers by Min Xian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Xian

Since Specialization
Citations

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