Ting Cai

11 papers and 391 indexed citations i.

About

Ting Cai is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Ting Cai has authored 11 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Cognitive Neuroscience. Recurrent topics in Ting Cai’s work include Emotion and Mood Recognition (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Ting Cai is often cited by papers focused on Emotion and Mood Recognition (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Ting Cai collaborates with scholars based in China, Hong Kong and United States. Ting Cai's co-authors include Jinpeng Li, Huina Liu, Liyuan Han, Shiwei Liu, Quanquan Ding, Yaling Tao, Huiguang He, Gangming Zhao, Cunhang Fan and Zhunan Li and has published in prestigious journals such as Neurology, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ting Cai i

Fields of papers citing papers by Ting Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Cai

Since Specialization
Citations

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