Xichuan Zhou

1.7k total citations
111 papers, 1.2k citations indexed

About

Xichuan Zhou is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xichuan Zhou has authored 111 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 32 papers in Computer Vision and Pattern Recognition and 27 papers in Artificial Intelligence. Recurrent topics in Xichuan Zhou's work include Advanced Neural Network Applications (20 papers), Remote-Sensing Image Classification (17 papers) and Advanced Memory and Neural Computing (16 papers). Xichuan Zhou is often cited by papers focused on Advanced Neural Network Applications (20 papers), Remote-Sensing Image Classification (17 papers) and Advanced Memory and Neural Computing (16 papers). Xichuan Zhou collaborates with scholars based in China, United States and Hong Kong. Xichuan Zhou's co-authors include Fang Tang, Haijun Liu, Yujie Feng, Shengdong Hu, Shujun Liu, Zhi Lin, Xiaoheng Tan, Yan Liu, Lei Zhang and Ji Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Xichuan Zhou

101 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xichuan Zhou China 19 400 264 244 244 208 111 1.2k
Sun Li China 16 231 0.6× 422 1.6× 214 0.9× 156 0.6× 174 0.8× 95 1.2k
Xiaoheng Tan China 19 226 0.6× 219 0.8× 200 0.8× 185 0.8× 172 0.8× 105 1.1k
Ting Yang China 14 148 0.4× 162 0.6× 291 1.2× 67 0.3× 142 0.7× 64 1.0k
Jayanta Mukherjee India 22 140 0.3× 1.1k 4.2× 178 0.7× 230 0.9× 322 1.5× 144 1.7k
Fengbo Ren United States 18 405 1.0× 443 1.7× 252 1.0× 103 0.4× 294 1.4× 48 1.3k
Syed Rameez Naqvi Pakistan 16 89 0.2× 297 1.1× 243 1.0× 107 0.4× 80 0.4× 57 979
Yitzhak Yitzhaky Israel 20 269 0.7× 828 3.1× 35 0.1× 506 2.1× 127 0.6× 107 1.4k
Linbo Qing China 21 87 0.2× 989 3.7× 330 1.4× 348 1.4× 71 0.3× 139 1.7k
Andriyan Bayu Suksmono Indonesia 14 196 0.5× 308 1.2× 124 0.5× 122 0.5× 268 1.3× 162 1.1k

Countries citing papers authored by Xichuan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xichuan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xichuan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xichuan Zhou. A scholar is included among the top collaborators of Xichuan Zhou 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 Xichuan Zhou. Xichuan Zhou 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.
Jian, Lihua, et al.. (2025). High-Fidelity Pansharpening via Trigeminal Pyramid Decoding of CNN-Transformer Encoded Features. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 2 indexed citations
2.
Wang, Yuxiao, et al.. (2025). Binary Neural Networks With Feature Information Retention for Efficient Image Classification. IEEE Signal Processing Letters. 32. 1321–1325.
3.
Wang, Sheng, Hui Li, Jing Nie, et al.. (2025). DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation. BMC Medical Imaging. 25(1). 395–395.
4.
Zhou, Xichuan, Qianqian Song, Jing Nie, et al.. (2025). Hybrid cross-modality fusion network for medical image segmentation with contrastive learning. Engineering Applications of Artificial Intelligence. 144. 110073–110073.
5.
Jian, Lihua, et al.. (2025). Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10458–10470.
6.
Tian, Min, Haibing Wang, Junxian He, et al.. (2024). MorphBungee: A 65-nm 7.2-mm 2 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning. IEEE Transactions on Biomedical Circuits and Systems. 19(1). 209–225. 4 indexed citations
7.
Liu, Haijun, et al.. (2024). MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 5 indexed citations
8.
Wang, Haibing, Zhihua Zhou, Junxian He, et al.. (2023). Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. 13. 1–2. 1 indexed citations
9.
Zhou, Xichuan, et al.. (2023). Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE. Sensors. 23(19). 8101–8101. 10 indexed citations
10.
Zhou, Xichuan, et al.. (2023). InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera. Neural Networks. 166. 501–511. 4 indexed citations
11.
Liu, Haijun, et al.. (2023). Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 29 indexed citations
12.
Wang, Haibing, Junxian He, Xichuan Zhou, et al.. (2022). TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Transactions on Biomedical Circuits and Systems. 16(4). 636–650. 27 indexed citations
13.
Shi, Cong, Ying Wang, Min Tian, et al.. (2021). A Low-Cost FPGA Implementation of Spiking Extreme Learning Machine With On-Chip Reward-Modulated STDP Learning. IEEE Transactions on Circuits & Systems II Express Briefs. 69(3). 1657–1661. 18 indexed citations
14.
Shu, Zhou, et al.. (2020). A 10-GHz Low-Power Serial Digital Majority Voter Based on Moving Accumulative Sign Filter in a PS-/PI-Based CDR. IEEE Transactions on Microwave Theory and Techniques. 68(12). 5432–5442. 3 indexed citations
15.
Lin, Yingcheng, et al.. (2020). An Energy-Efficient Bagged Binary Neural Network Accelerator. 174–179. 2 indexed citations
16.
He, Wei, Jie Zhang, Yingcheng Lin, et al.. (2020). A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features. IEEE Transactions on Circuits & Systems II Express Briefs. 68(3). 1013–1017. 4 indexed citations
17.
Zhang, Xinzheng, Ce Zhang, Peter M. Atkinson, et al.. (2020). Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection. Remote Sensing. 12(3). 548–548. 30 indexed citations
18.
Zhang, Xinzheng, et al.. (2019). PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features. Remote Sensing. 11(15). 1831–1831. 16 indexed citations
19.
Liu, Shujun, et al.. (2019). Sparse representation of classified patches for CS-MRI reconstruction. Neurocomputing. 339. 255–269. 10 indexed citations
20.
Feng, Yujie, Xichuan Zhou, Yanli Guo, et al.. (2018). A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(6). 1794–1801. 55 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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