Hanbo Chen

3.1k total citations
81 papers, 1.8k citations indexed

About

Hanbo Chen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Hanbo Chen has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 41 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biophysics. Recurrent topics in Hanbo Chen's work include Functional Brain Connectivity Studies (49 papers), Advanced Neuroimaging Techniques and Applications (36 papers) and Neural dynamics and brain function (23 papers). Hanbo Chen is often cited by papers focused on Functional Brain Connectivity Studies (49 papers), Advanced Neuroimaging Techniques and Applications (36 papers) and Neural dynamics and brain function (23 papers). Hanbo Chen collaborates with scholars based in China, United States and Australia. Hanbo Chen's co-authors include Tianming Liu, Tuo Zhang, Lei Guo, Xi Jiang, Xintao Hu, Dajiang Zhu, Junwei Han, Jinglei Lv, Jing Zhou and Yu Cao and has published in prestigious journals such as Neuron, PLoS ONE and NeuroImage.

In The Last Decade

Hanbo Chen

76 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanbo Chen China 25 1.1k 783 268 213 108 81 1.8k
An T. Vu United States 18 1.5k 1.4× 774 1.0× 72 0.3× 26 0.1× 75 0.7× 34 2.2k
Jörg Stadler Germany 25 709 0.7× 729 0.9× 43 0.2× 275 1.3× 47 0.4× 49 1.8k
Kyousuke Kamada Japan 29 977 0.9× 1.2k 1.5× 70 0.3× 46 0.2× 38 0.4× 127 2.8k
Ana‐Maria Oros‐Peusquens Germany 19 507 0.5× 840 1.1× 37 0.1× 27 0.1× 120 1.1× 47 1.5k
Nicola Vanello Italy 23 860 0.8× 322 0.4× 87 0.3× 16 0.1× 153 1.4× 111 1.8k
Jeffrey P. Sutton United States 14 443 0.4× 664 0.8× 59 0.2× 34 0.2× 41 0.4× 49 1.6k
Siegfried Wahl Germany 21 455 0.4× 794 1.0× 49 0.2× 97 0.5× 29 0.3× 164 2.5k
Jan Kubanek United States 20 915 0.8× 477 0.6× 156 0.6× 174 0.8× 25 0.2× 43 2.0k
Huifang Wang China 21 867 0.8× 234 0.3× 49 0.2× 110 0.5× 10 0.1× 78 1.6k
Jean-Marcel Travère France 15 323 0.3× 377 0.5× 57 0.2× 124 0.6× 10 0.1× 42 1.1k

Countries citing papers authored by Hanbo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hanbo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanbo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hanbo Chen. A scholar is included among the top collaborators of Hanbo 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 Hanbo Chen. Hanbo 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.
Jiang, Shengdian, Lijun Wang, Zhixi Yun, et al.. (2025). NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry. Nature Methods. 22(6). 1195–1198.
2.
Liu, Lijuan, Zhixi Yun, Hanbo Chen, et al.. (2025). Connectivity of single neurons classifies cell subtypes in mouse brains. Nature Methods. 22(4). 861–873. 1 indexed citations
3.
Iascone, Daniel Maxim, Yujie Li, Uygar Sümbül, et al.. (2020). Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking. Neuron. 106(4). 566–578.e8. 95 indexed citations
4.
Zhang, Tuo, Jun Kong, Ke Jing, et al.. (2018). Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. Computerized Medical Imaging and Graphics. 69. 9–20. 3 indexed citations
5.
Cao, Yu, et al.. (2018). Simulation and optimal design of antimony selenide thin film solar cells. Acta Physica Sinica. 67(24). 247301–247301. 4 indexed citations
6.
Zhao, Yu, Qinglin Dong, Hanbo Chen, et al.. (2017). Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Analysis. 42. 200–211. 30 indexed citations
7.
Chen, Hanbo, Xi Jiang, Xiang Li, et al.. (2017). Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics. 15(3). 285–295. 7 indexed citations
8.
Iraji, Armin, Hanbo Chen, Tuo Zhang, et al.. (2016). Connectome-scale assessment of structural and functional connectivity in mild traumatic brain injury at the acute stage. NeuroImage Clinical. 12. 100–115. 31 indexed citations
9.
Zhao, Yu, Hanbo Chen, Yujie Li, et al.. (2016). Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder. NeuroImage Clinical. 12. 23–33. 24 indexed citations
10.
Zhou, Jie, Zhi Zhou, Alessandro Bria, et al.. (2016). Bioimage Informatics for Big Data. Advances in anatomy, embryology and cell biology. 219. 263–272. 5 indexed citations
11.
Zhang, Tuo, Mir Jalil Razavi, Xiao Li, et al.. (2016). Mechanism of Consistent Gyrus Formation: an Experimental and Computational Study. Scientific Reports. 6(1). 37272–37272. 28 indexed citations
12.
Ge, Bao, Yin Tian, Xintao Hu, et al.. (2015). Construction of Multi-Scale Consistent Brain Networks: Methods and Applications. PLoS ONE. 10(4). e0118175–e0118175. 3 indexed citations
13.
Zhang, Tuo, Hanbo Chen, Lei Guo, et al.. (2014). Characterization of U-shape streamline fibers: Methods and applications. Medical Image Analysis. 18(5). 795–807. 58 indexed citations
14.
Zhang, Xin, Lei Guo, Xiang Li, et al.. (2013). Characterization of task-free and task-performance brain states via functional connectome patterns. Medical Image Analysis. 17(8). 1106–1122. 29 indexed citations
15.
Chen, Hanbo, Tuo Zhang, & Tianming Liu. (2013). Identifying Group-Wise Consistent White Matter Landmarks via Novel Fiber Shape Descriptor. Lecture notes in computer science. 16(Pt 1). 66–73. 5 indexed citations
16.
Chen, Hanbo, Kaiming Li, Dajiang Zhu, et al.. (2012). Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. Lecture notes in computer science. 15(Pt 3). 297–304. 10 indexed citations
17.
Li, Kaiming, Lei Guo, Carlos Alberto Faraco, et al.. (2012). Visual analytics of brain networks. NeuroImage. 61(1). 82–97. 30 indexed citations
18.
Chen, Hanbo, Tuo Zhang, Kaiming Li, et al.. (2011). Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs. Lecture notes in computer science. 14(Pt 2). 318–326. 2 indexed citations
19.
Zhu, Dajiang, Degang Zhang, Carlos Alberto Faraco, et al.. (2011). Discovering Dense and Consistent Landmarks in the Brain. Lecture notes in computer science. 22. 97–110. 21 indexed citations
20.
Chen, Hanbo, Lei Guo, Jingxin Nie, et al.. (2010). A Dynamic Skull Model for Simulation of Cerebral Cortex Folding. Lecture notes in computer science. 13(Pt 2). 412–419. 11 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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