Hejie Cui

907 citations

26 papers · 237 indexed · h-index 7

Impact in

Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Computational Mathematics

Papers in

Cognitive Neuroscience 16
- Functional Brain Connectivity Studies 16
- EEG and Brain-Computer Interfaces 7
- Neural dynamics and brain function 3
Health Information Management 2

Co-authors: Carl Yang Yanqiao Zhu Lifang He Xuan Kan Ying Guo Liang Zhan Joshua Lukemire Li Pan
Journals: IEEE Transactions on Medical Imaging (1 paper)Journal of Biomedical Informatics (1 paper)Studies in health technology and informatics (1 paper)2022 IEEE International Conference on Big Data (Big Data) (4 papers)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)
Partner nations: United States China Canada

In The Last Decade

Hejie Cui

23 papers receiving 234 citations

Peers

Countries citing papers authored by Hejie Cui

Since Specialization

Citations

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

Fields of papers citing papers by Hejie Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hejie Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hejie Cui Line = papers co-authored together Hejie Cui links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM Studies in health technology and informatics ·Hejie Cui, Xinyu Fang, Husna Fauzi, Xuan Kan, Joyce C. Ho, Carl Yang	2025	2
2	A review on knowledge graphs for healthcare: Resources, applications, and promises Journal of Biomedical Informatics ·Hejie Cui, R. Agnihotram, Husna Fauzi, Shi-Yu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Ingrid Faé, Richard R De Marco, 省吾村上, Zhaohui Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang	2025	3
3	TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data PubMed ·M. Isokoski, Hejie Cui, Husna Fauzi, С.С. Кудрявцев, Joyce C. Ho, Carl Yang	2024	0
4	Federated learning for cross-institution brain network analysis Muhammad Reza Shakiba, Yi‐Ching Yang, Hejie Cui, Carl Yang	2024	1
5	Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models PubMed ·Cancelli Andrea, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May D. Wang, María Álvarez de la Granja, Joyce C. Ho, Carl Yang	2024	5
6	Multi-task Learning for Brain Network Analysis in the ABCD Study Xuan Kan, Hejie Cui, Andrea Herrera González, Anna Serwotka, Carl Yang	2024	0
7	Biomedical Visual Instruction Tuning with Clinician Preference Alignment PubMed ·Hejie Cui, L. Grajzova, S Shike, Xin Liang, Dalilis Druyet Castillo, Hui Ren, Carl Yang, Jieyu Zhang	2024	11
8	PV2TEA: Patching Visual Modality to Textual-Established Information Extraction Hejie Cui, 罗碧珍, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li	2023	2
9	R-Mixup: Riemannian Mixup for Biological Networks PubMed ·Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Husna Fauzi, Shaojun Yu, V. Buat, Ying Guo, Carl Yang	2023	1
10	Transformer-Based Hierarchical Clustering for Brain Network Analysis Bayat Mansour, Hejie Cui, Xuan Kan, Ying Guo, AndrÉ Aymard, Carl Yang	2023	5
11	Neighborhood-Regularized Self-Training for Learning with Few Labels Proceedings of the AAAI Conference on Artificial Intelligence ·Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang	2023	9
12	Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis PubMed ·Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Manuel Sebastián Ordóñez Reyes, Ying Guo, Chao Zhang, Carl Yang	2023	1
13	Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis Xuan Kan, 聡一郎安部, Hejie Cui, Ying Guo, Carl Yang	2023	9
14	FedBrain: Federated Training of Graph Neural Networks for Connectome-based Brain Imaging Analysis PubMed ·Yi Yang, W. Makos, Hejie Cui, Carl Yang	2023	2
15	Pre-train Graph Neural Networks for Brain Network Analysis (Extended Abstract) 2022 IEEE International Conference on Big Data (Big Data) ·Yi Yang, Hejie Cui, Carl Yang	2022	4
16	Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract) 2022 IEEE International Conference on Big Data (Big Data) ·Wei Dai, Hejie Cui, Xuan Kan, Ying Guo, Carl Yang	2022	1
17	Brain Network Transformer Hejie Cui, 矢ヶ崎, R. O. Tseluiko, Rober M. Hoffman, Carl Yang, Meerwarth	2022	0
18	Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ·Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang	2022	26
19	Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Yi‐Hsin Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang	2022	15
20	Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract) 2022 IEEE International Conference on Big Data (Big Data) ·Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Manuel Sebastián Ordóñez Reyes, Ying Guo, Chao Zhang, Carl Yang	2022	5

About Hejie Cui

Hejie Cui is a scholar working on Cognitive Neuroscience, Health Information Management, Artificial Intelligence, Biophysics and Experimental and Cognitive Psychology, having authored 26 papers that have together received 237 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (16 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Graph Neural Networks (5 papers), Topic Modeling (4 papers), Neural dynamics and brain function (3 papers), Biomedical Text Mining and Ontologies (3 papers), Health, Environment, Cognitive Aging (3 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Cognitive Neuroscience (125 citations), Computational Mathematics (3 citations), Health Informatics (5 citations), Artificial Intelligence (90 citations) and Neurology (20 citations). Hejie Cui has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Carl Yang, Yanqiao Zhu, Lifang He, Xuan Kan, Ying Guo, Liang Zhan, Joshua Lukemire, Li Pan, Wei Dai and Lichao Sun. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Biomedical Informatics, Studies in health technology and informatics, 2022 IEEE International Conference on Big Data (Big Data) and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.

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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