Ting Cai

883 total citations · 2 hit papers
13 papers, 571 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 571 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), 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 (4 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, United States and Hong Kong. Ting Cai's co-authors include Jinpeng Li, Quanquan Ding, Huina Liu, Shiwei Liu, Liyuan Han, 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 565 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global, Regional, and National Burden of Ischemic Stroke, 1990–2019

2021 246 citations Quanquan Ding, Shiwei Liu et al. Neurology profile →
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

2024 42 citations Ming Jin, Changde Du et al. IEEE Transactions on Multimedia profile →

Peers

Ting Cai

CN

ECP

EPIDE

RNMI

AI

Matthew Lee United States

Pan Pan China

Yuki Takashima Japan

Pauline Mouchès Canada

Deepthi Rajashekar Canada

Vaanathi Sundaresan United Kingdom

Christos Kokkotis Greece

Shyam Vasudeva Rao Netherlands

Vasileios C. Pezoulas Greece

Akseli Leino Finland

Matthew Lee United States

Ting Cai

520 ×4.1

CN

85 ×0.7

ECP

75 ×0.7

EPIDE

221 ×2.0

RNMI

196 ×1.9

AI

Citations per year, relative to Ting Cai Ting Cai (= 1×) peers Matthew Lee

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Jin, Ming, Changde Du, Huiguang He, Ting Cai, & Jinpeng Li. (2024). PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. IEEE Transactions on Multimedia. 26. 9070–9082. 42 indexed citations breakdown →

2.

Cai, Ting, et al.. (2024). Discovery of Novel Hybrids of Edaravone and 6‐Phenyl‐4,5‐dihydropyridazin‐3(2H)‐one with Antiplatelet Aggregation and Neuroprotection for Ischemic Stroke Treatment. Chemistry & Biodiversity. 21(5). e202400110–e202400110. 1 indexed citations

3.

Liu, Yiyang, et al.. (2023). A unified framework of medical information annotation and extraction for Chinese clinical text. Artificial Intelligence in Medicine. 142. 102573–102573. 8 indexed citations

4.

Li, Zhunan, Ming Jin, Cunhang Fan, et al.. (2022). Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 26(12). 5964–5973. 95 indexed citations

5.

Li, Jinpeng, et al.. (2022). Predicting liver cancers using skewed epidemiological data. Artificial Intelligence in Medicine. 124. 102234–102234. 10 indexed citations

6.

Li, Jinpeng, et al.. (2021). Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19. Pattern Recognition. 114. 107848–107848. 78 indexed citations

7.

Ding, Quanquan, et al.. (2021). Global, Regional, and National Burden of Ischemic Stroke, 1990–2019. Neurology. 98(3). e279–e290. 246 indexed citations breakdown →

8.

Li, Jinpeng, Yaling Tao, & Ting Cai. (2021). Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework. IEEE/CAA Journal of Automatica Sinica. 8(5). 1067–1078. 16 indexed citations

9.

Wang, Jie, et al.. (2021). X-ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural Networks. 203–212. 5 indexed citations

10.

Tao, Yaling, et al.. (2020). Multi-Task Learning for Lung Nodule Classification on Chest CT. IEEE Access. 8. 180317–180327. 34 indexed citations

11.

Li, Jinpeng, et al.. (2020). FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition. 2618–2625. 18 indexed citations

12.

Li, Yulan, et al.. (2019). Speech Emotion Recognition Using 1D CNN with No Attention. 351–356. 17 indexed citations

13.

Cai, Ting, et al.. (2015). [Expression of Dynamin in the cochlea of mice of different ages].. PubMed. 50(7). 583–6. 1 indexed citations

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.

Explore authors with similar magnitude of impact