Xintao Hu

5.2k total citations · 1 hit paper
144 papers, 3.4k citations indexed

About

Xintao Hu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xintao Hu has authored 144 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Cognitive Neuroscience, 55 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xintao Hu's work include Functional Brain Connectivity Studies (81 papers), Neural dynamics and brain function (57 papers) and Advanced Neuroimaging Techniques and Applications (45 papers). Xintao Hu is often cited by papers focused on Functional Brain Connectivity Studies (81 papers), Neural dynamics and brain function (57 papers) and Advanced Neuroimaging Techniques and Applications (45 papers). Xintao Hu collaborates with scholars based in China, United States and Australia. Xintao Hu's co-authors include Lei Guo, Junwei Han, Tianming Liu, Xi Jiang, Tuo Zhang, Dajiang Zhu, Jinglei Lv, Christine C. Guo, Jinchang Ren and Dingwen Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Xintao Hu

136 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

2014 372 citations Junwei Han, Xintao Hu et al. profile →

Peers

Xintao Hu

CN

RNMI

CVPR

MT

AI

Xiaobo Chen China

Michalis Zervakis Greece

Pierre Hellier France

Pan Lin China

Nathan Intrator Israel

Christian Barillot France

Meritxell Bach Cuadra Switzerland

Kai Ma China

George K. Matsopoulos Greece

Xiaobo Chen China

Xintao Hu

1.0k ×0.6

CN

434 ×0.4

RNMI

827 ×1.0

CVPR

138 ×0.5

MT

720 ×3.0

AI

Citations per year, relative to Xintao Hu Xintao Hu (= 1×) peers Xiaobo Chen

Countries citing papers authored by Xintao Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xintao Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xintao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xintao Hu. A scholar is included among the top collaborators of Xintao Hu 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 Xintao Hu. Xintao Hu 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

1.

Liu, Licheng, et al.. (2024). Understanding China's agricultural non‑carbon-dioxide greenhouse gas emissions: Subnational insights and global trade dynamics. Environmental Impact Assessment Review. 106. 107487–107487. 14 indexed citations

2.

Li, Peiyang, et al.. (2024). A novel residual-based Bayesian expectation–maximization adaptive Kalman filter with inaccurate and time-varying noise covariances. Measurement. 235. 114937–114937. 2 indexed citations

3.

Liu, Yiheng, Mengshen He, Zhengliang Liu, et al.. (2024). Mapping dynamic spatial patterns of brain function with spatial-wise attention. Journal of Neural Engineering. 21(2). 26005–26005. 2 indexed citations

4.

Chen, Yuzhong, Yu Du, Lin Zhao, et al.. (2024). A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3231–3243.

5.

Wang, Shaoxi, et al.. (2023). Hyperspectral anomaly detection using ensemble and robust collaborative representation. Information Sciences. 624. 748–760. 55 indexed citations

6.

Chen, Yuzhong, et al.. (2023). Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus. Computers in Biology and Medicine. 168. 107747–107747.

7.

Zhao, Lin, Haixing Dai, Zihao Wu, et al.. (2023). Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 584–594. 2 indexed citations

8.

Zhao, Lin, Zihao Wu, Haixing Dai, et al.. (2023). A generic framework for embedding human brain function with temporally correlated autoencoder. Medical Image Analysis. 89. 102892–102892. 5 indexed citations

9.

Yu, Sigang, Lin Zhao, Dajiang Zhu, et al.. (2023). MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Transactions on Biomedical Engineering. 71(5). 1442–1453. 15 indexed citations

10.

Zhao, Lin, Yuzhong Chen, Lei Guo, et al.. (2023). Rectify ViT Shortcut Learning by Visual Saliency. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18013–18025. 9 indexed citations

11.

Liu, Xu, Mengyue Zhou, Lin Zhao, et al.. (2023). Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8888–8896. 3 indexed citations

12.

Hu, Xintao, Huan Liu, Shijie Zhao, et al.. (2020). Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience. IEEE Transactions on Cognitive and Developmental Systems. 14(1). 156–163. 2 indexed citations

13.

Zhao, Shijie, Xintao Hu, Qinglin Dong, et al.. (2020). Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connectivity. 10(2). 72–82. 13 indexed citations

14.

Nguyen, Vinh T., Saurabh Sonkusare, Jane Stadler, et al.. (2016). Distinct Cerebellar Contributions to Cognitive-Perceptual Dynamics During Natural Viewing. Cerebral Cortex. 27(12). 5652–5662. 38 indexed citations

15.

Lv, Jinglei, Xi Jiang, Xiang Li, et al.. (2015). Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data. Psychiatry Research Neuroimaging. 233(2). 254–268. 29 indexed citations

16.

Han, Junwei, Kaiming Li, Ling Shao, et al.. (2014). Video abstraction based on fMRI-driven visual attention model. Information Sciences. 281. 781–796. 16 indexed citations

17.

Han, Junwei, et al.. (2014). Spatial and temporal visual attention prediction in videos using eye movement data. Neurocomputing. 145. 140–153. 20 indexed citations

18.

Hu, Xintao, et al.. (2013). A linear model for characterization of synchronization frequencies of neural networks. Cognitive Neurodynamics. 8(1). 55–69. 3 indexed citations

19.

Hu, Xintao. (2006). A PCA Based Band Selection Algorithm of Hyperspectral Image. Microelectronics & Computer. 3 indexed citations

20.

Hu, Xintao. (2006). Research on segmented PCA based on band selection algorithm of hyperspectral image. Engineering of Surveying and Mapping. 3 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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