Jintai Chen

1.7k total citations
38 papers, 701 citations indexed

About

Jintai Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jintai Chen has authored 38 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jintai Chen's work include Advanced Neural Network Applications (7 papers), COVID-19 diagnosis using AI (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jintai Chen is often cited by papers focused on Advanced Neural Network Applications (7 papers), COVID-19 diagnosis using AI (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Jintai Chen collaborates with scholars based in China, United States and Hong Kong. Jintai Chen's co-authors include Danny Z. Chen, Jian Wu, Honghao Gao, Ruiwei Feng, Haochao Ying, Qingyu Song, Biwen Lei, Wenzhe Wang, Jian Wu and Tingting Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Access.

In The Last Decade

Jintai Chen

35 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jintai Chen China	14	310	267	165	80	64	38	701
Qiu Guan China	14	388 1.3×	322 1.2×	228 1.4×	92 1.1×	30 0.5×	75	860
Dengao Li China	15	127 0.4×	404 1.5×	272 1.6×	66 0.8×	79 1.2×	91	807
Stefanie Demirci Germany	12	268 0.9×	347 1.3×	268 1.6×	129 1.6×	50 0.8×	22	718
Zhennan Yan United States	13	205 0.7×	228 0.9×	281 1.7×	131 1.6×	41 0.6×	37	616
Mohammed Yusuf Ansari Qatar	13	178 0.6×	164 0.6×	251 1.5×	162 2.0×	62 1.0×	21	696
Abdelmalik Taleb‐Ahmed France	14	212 0.7×	165 0.6×	166 1.0×	110 1.4×	24 0.4×	50	627
Ioannis Valavanis Greece	14	153 0.5×	174 0.7×	168 1.0×	52 0.7×	44 0.7×	34	700
Muyi Sun China	13	229 0.7×	107 0.4×	188 1.1×	47 0.6×	32 0.5×	38	556
Van-Truong Pham Vietnam	14	233 0.8×	106 0.4×	87 0.5×	63 0.8×	39 0.6×	61	684

Countries citing papers authored by Jintai Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jintai Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jintai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jintai Chen. A scholar is included among the top collaborators of Jintai Chen 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 Jintai Chen. Jintai Chen 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:

20 of 20 papers shown

Cao, Xu, Tingting Chen, Minghua Wu, et al.. (2025). From screens to scenes: A survey of embodied AI in healthcare. Information Fusion. 119. 103033–103033. 7 indexed citations

Chen, Jintai, Hongxia Xu, Cao Xiao, et al.. (2025). TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial Prediction. Scientific Data. 12(1). 1564–1564. 1 indexed citations

Liu, Jian, et al.. (2025). Scalable Autoregressive Monocular Depth Estimation. 6262–6272. 1 indexed citations

Zhang, Kai, et al.. (2024). Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6748–6763. 1 indexed citations

Chen, Jintai, et al.. (2024). ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. 1–10. 6 indexed citations

Lu, Yingzhou, et al.. (2024). Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction. SHILAP Revista de lepidopterología. 4. 126–126. 9 indexed citations

Chen, Jintai, et al.. (2024). Multi-rater Prompting for Ambiguous Medical Image Segmentation. 2519–2525.

Chen, Jintai, Ying Zhang, Qing Chang, et al.. (2024). Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts. Nature Communications. 15(1). 976–976. 34 indexed citations

Zhu, Yiheng, Yixuan Wu, Jialu Wu, et al.. (2024). Multi-Modal CLIP-Informed Protein Editing. SHILAP Revista de lepidopterología. 4. 211–211. 2 indexed citations

10.

Fu, Tianfan, et al.. (2024). TWIN-GPT : Digital Twins for Clinical Trials via Large Language Model. ACM Transactions on Multimedia Computing Communications and Applications. 24 indexed citations

11.

Chen, Jintai, et al.. (2024). OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data. Information Fusion. 117. 102890–102890. 4 indexed citations

12.

Chen, Jintai, Cheng Yi, Danny Z. Chen, et al.. (2023). Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision. IEEE Journal of Biomedical and Health Informatics. 28(8). 4522–4533. 4 indexed citations

13.

Chen, Danny, et al.. (2023). Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification. 7705–7720. 1 indexed citations

14.

Chen, Jintai, et al.. (2023). T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10720–10728. 18 indexed citations

15.

Wang, Jinhong, et al.. (2023). Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction. 5842–5852. 1 indexed citations

16.

Chen, Jintai, et al.. (2022). Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(4). 2434–2444. 9 indexed citations

17.

Chen, Jintai, et al.. (2021). A Receptor Skeleton for Capsule Neural Networks. International Conference on Machine Learning. 1781–1790. 1 indexed citations

18.

Feng, Ruiwei, Tingting Chen, Jintai Chen, et al.. (2021). ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases. Multimedia Tools and Applications. 81(29). 41511–41525. 10 indexed citations

19.

Chen, Jintai, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, & Jian Wu. (2021). Electrocardio Panorama: Synthesizing New ECG views with Self-supervision. 3597–3605. 13 indexed citations

20.

Chen, Jintai, Biwen Lei, Qingyu Song, et al.. (2020). A Hierarchical Graph Network for 3D Object Detection on Point Clouds. 389–398. 121 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.

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