Jiazhou Chen

1.0k total citations
46 papers, 610 citations indexed

About

Jiazhou Chen is a scholar working on Cognitive Neuroscience, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiazhou Chen has authored 46 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 13 papers in Molecular Biology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiazhou Chen's work include Gene expression and cancer classification (12 papers), Functional Brain Connectivity Studies (10 papers) and Bioinformatics and Genomic Networks (8 papers). Jiazhou Chen is often cited by papers focused on Gene expression and cancer classification (12 papers), Functional Brain Connectivity Studies (10 papers) and Bioinformatics and Genomic Networks (8 papers). Jiazhou Chen collaborates with scholars based in China, United States and United Kingdom. Jiazhou Chen's co-authors include Hongmin Cai, Guoqiang Han, Hong Peng, Jinhua Wang, Yan Song, Li Li, Jiao Li, Chu Han, Haiyan Wang and Yu Hu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Jiazhou Chen

43 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiazhou Chen China 14 197 156 142 124 87 46 610
Yulin Wang China 17 74 0.4× 77 0.5× 146 1.0× 356 2.9× 58 0.7× 70 814
Bülent Yılmaz Türkiye 15 139 0.7× 28 0.2× 74 0.5× 227 1.8× 153 1.8× 71 804
William C. Barker United States 12 141 0.7× 56 0.4× 87 0.6× 247 2.0× 69 0.8× 24 694
Haijun Lei China 16 201 1.0× 70 0.4× 434 3.1× 192 1.5× 43 0.5× 58 865
Fazly Salleh Abas Malaysia 12 88 0.4× 51 0.3× 185 1.3× 48 0.4× 22 0.3× 50 403
Fan Zhu China 9 113 0.6× 125 0.8× 107 0.8× 163 1.3× 28 0.3× 20 536
Hasan Oğul Türkiye 13 129 0.7× 174 1.1× 88 0.6× 64 0.5× 96 1.1× 52 543
Pilar Sobrevilla Spain 11 150 0.8× 18 0.1× 507 3.6× 143 1.2× 117 1.3× 42 792
Heung‐Kook Choi South Korea 16 259 1.3× 77 0.5× 334 2.4× 210 1.7× 80 0.9× 89 814
Bingtao Zhang China 11 175 0.9× 107 0.7× 221 1.6× 166 1.3× 155 1.8× 27 832

Countries citing papers authored by Jiazhou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiazhou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiazhou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiazhou Chen. A scholar is included among the top collaborators of Jiazhou 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 Jiazhou Chen. Jiazhou Chen 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.
Zhang, Bin, Junyu Li, Jiazhou Chen, et al.. (2024). Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 387–399. 4 indexed citations
2.
Zhang, Guangyu, et al.. (2024). Efficient Multi-View Clustering via Essential Tensorized Bipartite Graph Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2952–2964.
3.
Yang, Defu, Hui Shen, Minghan Chen, et al.. (2024). A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds. IEEE Transactions on Medical Imaging. 44(3). 1454–1467. 1 indexed citations
4.
5.
Cai, Hongmin, Bin Zhang, Junyu Li, Bin Hu, & Jiazhou Chen. (2024). Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval. IEEE Transactions on Multimedia. 26. 9109–9120. 4 indexed citations
6.
Cai, Hongmin, et al.. (2024). Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8577–8591.
7.
Peciña, Marta, Jiazhou Chen, Jordan F. Karp, & Alexandre Y. Dombrovski. (2023). Dynamic Feedback Between Antidepressant Placebo Expectancies and Mood. JAMA Psychiatry. 80(4). 389–389. 4 indexed citations
8.
Liu, Huan, Hongmin Cai, Defu Yang, et al.. (2023). Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease. Medical Image Analysis. 87. 102812–102812. 2 indexed citations
9.
Hu, Yu, et al.. (2022). Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding. IEEE Transactions on Cybernetics. 53(10). 6329–6339. 20 indexed citations
10.
Dan, Tingting, Xijie Chen, Miao He, et al.. (2022). DeepGA for automatically estimating fetal gestational age through ultrasound imaging. Artificial Intelligence in Medicine. 135. 102453–102453. 12 indexed citations
11.
Chen, Jiazhou, et al.. (2022). Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. Medical Image Analysis. 79. 102446–102446. 5 indexed citations
12.
Peciña, Marta, et al.. (2021). μ Opioid Antagonist Naltrexone Partially Abolishes the Antidepressant Placebo Effect and Reduces Orbitofrontal Cortex Encoding of Reinforcement. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(10). 1002–1012. 5 indexed citations
13.
Li, Min, Jiazhou Chen, Lei Cui, et al.. (2021). Attention Enhancement for Exoskeleton-Assisted Hand Rehabilitation Using Fingertip Haptic Stimulation. Frontiers in Robotics and AI. 8. 602091–602091. 17 indexed citations
14.
Yang, Defu, Jiazhou Chen, Chenggang Yan, et al.. (2021). Group-wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 1–1. 3 indexed citations
15.
Chen, Jiazhou, Guoqiang Han, Hongmin Cai, et al.. (2020). Learning Common Harmonic Waves on Stiefel Manifold – A New Mathematical Approach for Brain Network Analyses. IEEE Transactions on Medical Imaging. 40(1). 419–430. 17 indexed citations
16.
Zhang, Bin, Hongmin Cai, Jiazhou Chen, et al.. (2020). Fast and Accurate Clustering of Multiple Modality Data via Feature Matching. IEEE Transactions on Cybernetics. 52(6). 5040–5050. 4 indexed citations
17.
Chen, Jiazhou, et al.. (2019). Simultaneous Interrogation of Cancer Omics to Identify Subtypes With Significant Clinical Differences. Frontiers in Genetics. 10. 236–236. 43 indexed citations
18.
Chen, Jiazhou, et al.. (2019). Identification of Multidimensional Regulatory Modules Through Multi-Graph Matching With Network Constraints. IEEE Transactions on Biomedical Engineering. 67(4). 987–998. 18 indexed citations
19.
Li, Min, Bo He, Jiazhou Chen, et al.. (2019). An Attention-Controlled Hand Exoskeleton for the Rehabilitation of Finger Extension and Flexion Using a Rigid-Soft Combined Mechanism. Frontiers in Neurorobotics. 13. 34–34. 68 indexed citations
20.
Wang, Zhenling, Yina Liu, Xiao Xiao, et al.. (2013). TEPC performance for a reference standard. Radiation Protection Dosimetry. 158(2). 246–250. 13 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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