Congxuan Zhang

933 total citations · 1 hit paper
59 papers, 637 citations indexed

About

Congxuan Zhang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Congxuan Zhang has authored 59 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 9 papers in Media Technology. Recurrent topics in Congxuan Zhang's work include Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (18 papers) and Image Enhancement Techniques (9 papers). Congxuan Zhang is often cited by papers focused on Advanced Vision and Imaging (27 papers), Advanced Image Processing Techniques (18 papers) and Image Enhancement Techniques (9 papers). Congxuan Zhang collaborates with scholars based in China, United States and United Kingdom. Congxuan Zhang's co-authors include Zhen Chen, Weiming Hu, Shaofeng Jiang, Feng Lu, Ming Li, Huanhuan Shi, Ke Lü, Zhen Chen, Yu Cao and Qi Shi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Congxuan Zhang

53 papers receiving 619 citations

Hit Papers

Joining Spatial Deformable Convolution and a Dense Featur... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Joining Spatial Deformable Convolution and a Dense Feature Pyramid for Surface Defect Detection
    2024 50 citations Congxuan Zhang, Zhen Chen et al. profile →

Peers

Congxuan Zhang
Dong Liang China
Fuqin Deng China
N. Venkateswaran India
Feihu Zhang China
Rui Sun China
Seyed Ahmad Motamedi Iran
Zhaoxiang Liu China
Rakesh Joshi India
Jiao Dai China
Xiaokai Liu China
Dong Liang China
Congxuan Zhang
Citations per year, relative to Congxuan Zhang Congxuan Zhang (= 1×) peers Dong Liang

Countries citing papers authored by Congxuan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Congxuan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Congxuan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Congxuan Zhang. A scholar is included among the top collaborators of Congxuan Zhang 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 Congxuan Zhang. Congxuan Zhang 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
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Gao, Jin, Zeming Li, Liang Li, et al.. (2025). An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training. International Journal of Computer Vision. 133(7). 3918–3950. 2 indexed citations
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Zhang, Congxuan, et al.. (2025). Self-Supervised Monocular Depth Estimation With Dual-Path Encoders and Offset Field Interpolation. IEEE Transactions on Image Processing. 34. 939–954. 1 indexed citations
5.
Zhang, Congxuan, et al.. (2024). Real-Time Monocular Depth Estimation on Embedded Systems. 3464–3470. 3 indexed citations
6.
Sun, Mingyu, et al.. (2024). Cosine Similarity Template Matching Networks for Optical and SAR Image Registration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 813–827. 1 indexed citations
7.
Shi, Huanhuan, et al.. (2023). Polyaniline/Prussian blue nanolayer enhanced electrochemical sensing of H2O2 in EBC using an integrated condensation facemask. Sensors and Actuators B Chemical. 393. 134189–134189. 20 indexed citations
8.
Li, Bo, et al.. (2023). Controllable facial attribute editing via Gaussian mixture model disentanglement. Digital Signal Processing. 134. 103916–103916. 3 indexed citations
9.
Chen, Zhen, et al.. (2023). LCIF-Net: Local criss-cross attention based optical flow method using multi-scale image features and feature pyramid. Signal Processing Image Communication. 112. 116921–116921. 4 indexed citations
10.
He, Chao, et al.. (2023). Local stereo matching with side window. Optik. 288. 171145–171145.
11.
He, Chao, et al.. (2022). A self-organizing map approach for constrained multi-objective optimization problems. Complex & Intelligent Systems. 8(6). 5355–5375. 22 indexed citations
12.
Zhang, Zhipeng, Bing Li, Pei Wang, et al.. (2021). Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm. IEEE Transactions on Image Processing. 30. 8439–8453. 16 indexed citations
13.
Li, Ming, et al.. (2020). Multiparameter Space Decision Voting and Fusion Features for Facial Expression Recognition. Computational Intelligence and Neuroscience. 2020. 1–17. 8 indexed citations
14.
Shi, Shidong, et al.. (2020). Large Displacement Optical Flow Estimation Based on Robust Interpolation of Sparse Correspondences. IEEE Access. 8. 227360–227372. 3 indexed citations
15.
Zhang, Congxuan, et al.. (2019). Edge-Preserving Stereo Matching Using Minimum Spanning Tree. IEEE Access. 7. 177909–177921. 8 indexed citations
16.
Li, Ming, et al.. (2018). Texture image classification based on BoF model with multi-feature fusion. Beijing Hangkong Hangtian Daxue xuebao. 44(9). 1869. 2 indexed citations
17.
Wang, Xiaohui, Minghan Zhu, Feifei Li, Congxuan Zhang, & Xiaobiao Zhu. (2018). Long-term effects of multi-walled carbon nanotubes on the performance and microbial community structures of an anaerobic granular sludge system. Applied Microbiology and Biotechnology. 102(21). 9351–9361. 13 indexed citations
18.
Zhang, Congxuan, et al.. (2018). Guided Filtering: Toward Edge-Preserving for Optical Flow. IEEE Access. 6. 26958–26970. 13 indexed citations
19.
Chen, Zhe, Congxuan Zhang, & Pan Wang. (2014). High-quality fusion for visible and infrared images based on the double NSCT. 223–227. 5 indexed citations
20.
Zhang, Congxuan. (2012). Direct method for motion estimation and structure reconstruction based on optical flow. Optical Engineering. 51(6). 67004–67004. 5 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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