Qunxi Dong

1.1k total citations
48 papers, 670 citations indexed

About

Qunxi Dong is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qunxi Dong has authored 48 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qunxi Dong's work include EEG and Brain-Computer Interfaces (21 papers), Functional Brain Connectivity Studies (18 papers) and Dementia and Cognitive Impairment Research (10 papers). Qunxi Dong is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Functional Brain Connectivity Studies (18 papers) and Dementia and Cognitive Impairment Research (10 papers). Qunxi Dong collaborates with scholars based in China, United States and United Kingdom. Qunxi Dong's co-authors include Bin Hu, Kun Qian, Jian Shen, Qinglin Zhao, Fuze Tian, Huajian Liang, Xiaowei Zhang, Yalin Wang, Jingyu Liu and Yang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Medical Imaging.

In The Last Decade

Qunxi Dong

46 papers receiving 663 citations

Peers

Qunxi Dong
Serap Aydın Türkiye
Yodchanan Wongsawat Thailand
Junhai Xu China
Theerawit Wilaiprasitporn Thailand
Ai‐Ling Hsu Taiwan
Zhenlan Jin China
Kai Görgen Germany
Etienne Combrisson France
Serap Aydın Türkiye
Qunxi Dong
Citations per year, relative to Qunxi Dong Qunxi Dong (= 1×) peers Serap Aydın

Countries citing papers authored by Qunxi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Qunxi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunxi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Qunxi Dong. A scholar is included among the top collaborators of Qunxi Dong 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 Qunxi Dong. Qunxi Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, Jian, Yanan Zhang, Fuze Tian, et al.. (2025). WDANet: Wasserstein Distribution Inspired Dynamic Adversarial Network for EEG-Based Cross-Domain Depression Recognition. IEEE Transactions on Affective Computing. 17(1). 1091–1104.
2.
Tian, Fuze, Lixin Zhang, Mingqi Zhao, et al.. (2024). Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs. IEEE Transactions on Computational Social Systems. 11(6). 7309–7337. 13 indexed citations
3.
Dong, Qunxi, Hong-Xin Cai, Zhigang Li, Jingyu Liu, & Bin Hu. (2024). A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. IEEE Journal of Biomedical and Health Informatics. 28(8). 4854–4865. 8 indexed citations
4.
Shen, Jian, et al.. (2024). Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition. IEEE Transactions on Computational Social Systems. 11(6). 7299–7308. 5 indexed citations
5.
Dong, Qunxi, Zhigang Li, Weijia Liu, et al.. (2024). Schizophrenia Detection Based on Morphometry of Hippocampus and Amygdala. IEEE Journal of Biomedical and Health Informatics. 29(5). 3598–3608. 1 indexed citations
6.
Liu, Jingyu, Zhigang Li, Jingjing Zhou, et al.. (2024). Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation. IEEE Transactions on Computational Social Systems. 11(6). 7400–7410. 9 indexed citations
7.
Dong, Qunxi, Zhigang Li, Weijia Liu, et al.. (2023). Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Transactions on Computational Social Systems. 10(6). 3602–3608. 1 indexed citations
8.
Tian, Fuze, et al.. (2023). An FFT-Based DC Offset Compensation and I/Q Imbalance Correction Algorithm for Bioradar Sensors. IEEE Transactions on Microwave Theory and Techniques. 72(3). 1900–1910. 20 indexed citations
9.
Shen, Jian, Huajian Liang, Kexin Zhu, et al.. (2023). Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE Journal of Biomedical and Health Informatics. 27(7). 3234–3245. 50 indexed citations
10.
Zheng, Weimin, Honghong Liu, Zhigang Li, et al.. (2023). Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics. CNS Neuroscience & Therapeutics. 29(9). 2457–2468. 9 indexed citations
11.
Tian, Fuze, Lixin Zhang, Qunxi Dong, et al.. (2023). The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1305–1318. 41 indexed citations
12.
Liu, Jingyu, Weigang Cui, Yipeng Chen, et al.. (2023). Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Transactions on Medical Imaging. 43(2). 860–873. 20 indexed citations
13.
Shen, Jian, Yanan Zhang, Huajian Liang, et al.. (2022). Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 356–365. 50 indexed citations
14.
15.
Zhang, Jie, Qunxi Dong, Jie Shi, et al.. (2021). Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Analysis. 70. 102009–102009. 1 indexed citations
16.
17.
Wang, Gang, Qunxi Dong, Jianfeng Wu, et al.. (2020). Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. Medical Image Analysis. 67. 101877–101877. 8 indexed citations
18.
Dong, Qunxi, Wen Zhang, Jianfeng Wu, et al.. (2019). Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. NeuroImage Clinical. 22. 101744–101744. 36 indexed citations
19.
Dong, Qunxi, Jie Zhang, Qingyang Li, et al.. (2019). Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease. Communications in computer and information science. 1072. 21–35. 7 indexed citations
20.
Hu, Bin, et al.. (2017). Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects. Journal of Neural Engineering. 14(4). 46002–46002. 31 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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