Guangtai Ding

14 papers and 283 indexed citations i.

About

Guangtai Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guangtai Ding has authored 14 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guangtai Ding’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), Additive Manufacturing Materials and Processes (3 papers) and High-Temperature Coating Behaviors (3 papers). Guangtai Ding is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Additive Manufacturing Materials and Processes (3 papers) and High-Temperature Coating Behaviors (3 papers). Guangtai Ding collaborates with scholars based in China, United States and Japan. Guangtai Ding's co-authors include Huiran Zhang, Dongbo Dai, Xiao Wei, Jincang Zhang, Xu Yan, Tao Xu, Xiaoqiang Li, Yike Guo, Weiqin Tong and Peilin Chen and has published in prestigious journals such as Frontiers in Immunology, Journal of Alloys and Compounds and Medicine.

In The Last Decade

Co-authorship network of co-authors of Guangtai Ding i

Fields of papers citing papers by Guangtai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangtai Ding

Since Specialization
Citations

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