Songtao Ding

About

Songtao Ding is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Songtao Ding has authored 15 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Songtao Ding’s work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Songtao Ding is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Songtao Ding collaborates with scholars based in China, Italy and Saudi Arabia. Songtao Ding's co-authors include Shaohua Wan, Yuling Xi, Shiru Qu, Chen Chen, Hongyu Wang, Yanning Zhang, Xiaoying Pan, Arun Kumar Sangaiah, Zhongmin Wang and Wei Dang and has published in prestigious journals such as Pattern Recognition, Remote Sensing and Neurocomputing.

In The Last Decade

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

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Fields of papers citing papers by Songtao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songtao Ding

Since Specialization

Citations

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