Tiange Xiang

7 papers and 196 indexed citations i.

About

Tiange Xiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tiange Xiang has authored 7 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tiange Xiang’s work include COVID-19 diagnosis using AI (2 papers), 3D Shape Modeling and Analysis (2 papers) and AI in cancer detection (2 papers). Tiange Xiang is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), 3D Shape Modeling and Analysis (2 papers) and AI in cancer detection (2 papers). Tiange Xiang collaborates with scholars based in United States, Australia and Hong Kong. Tiange Xiang's co-authors include Weidong Cai, Chaoyi Zhang, Yang Song, Jianhui Yu, Juan Zhou, Dongnan Liu, Zongwei Zhou, Heng Huang, Yongyi Lu and Alan Yuille and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Tiange Xiang i

Fields of papers citing papers by Tiange Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiange Xiang

Since Specialization
Citations

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