Ting Cai

22 total papers · 854 total citations
13 papers, 552 citations indexed

About

Ting Cai is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ting Cai has authored 13 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ting Cai's work include Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ting Cai is often cited by papers focused on Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Ting Cai collaborates with scholars based in China, United States and Hong Kong. Ting Cai's co-authors include Jinpeng Li, Huina Liu, Quanquan Ding, Liyuan Han, Shiwei Liu, Huiguang He, Yaling Tao, Ming Jin, Cunhang Fan and Zhunan Li and has published in prestigious journals such as Neurology, IEEE Access and Pattern Recognition.

In The Last Decade

Ting Cai

13 papers receiving 546 citations

Hit Papers

Global, Regional, and Nat... 2021 2026 2022 2024 2021 2024 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting Cai 121 117 115 108 104 13 552
Yong‐Hwan Kim 127 1.0× 22 0.2× 145 1.3× 122 1.1× 49 0.5× 35 568
Pauline Mouchès 133 1.1× 16 0.1× 62 0.5× 119 1.1× 75 0.7× 32 538
Md. Rashed-Al-Mahfuz 199 1.6× 95 0.8× 21 0.2× 128 1.2× 182 1.8× 15 577
Tian Siva Tian 187 1.5× 41 0.4× 26 0.2× 137 1.3× 92 0.9× 10 518
Vaanathi Sundaresan 86 0.7× 14 0.1× 90 0.8× 213 2.0× 55 0.5× 20 497
Antti Tolonen 72 0.6× 24 0.2× 75 0.7× 67 0.6× 36 0.3× 23 546
Chien‐Yeh Hsu 89 0.7× 31 0.3× 57 0.5× 122 1.1× 51 0.5× 22 482
Zhiqiang Lao 112 0.9× 14 0.1× 39 0.3× 173 1.6× 82 0.8× 14 549
Yunxia Li 139 1.1× 33 0.3× 44 0.4× 48 0.4× 50 0.5× 46 595
Tim Bonnici 133 1.1× 27 0.2× 18 0.2× 78 0.7× 63 0.6× 6 465

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).

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.

Co-authorship network of co-authors of Ting Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Cai. A scholar is included among the top collaborators of Ting Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Cai. Ting Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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