Zhuo Su

934 total citations · 1 hit paper
24 papers, 492 citations indexed

About

Zhuo Su is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Zhuo Su has authored 24 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Zhuo Su's work include Face recognition and analysis (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Zhuo Su is often cited by papers focused on Face recognition and analysis (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Zhuo Su collaborates with scholars based in China, Finland and United States. Zhuo Su's co-authors include Guoying Zhao, Zitong Yu, Xiaobai Li, Chenxu Zhao, Yunxiao Qin, Feng Zhou, Zezheng Wang, Li Liu, Matti Pietikäinen and Jiehua Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Zhuo Su

20 papers receiving 482 citations

Hit Papers

Searching Central Differe... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuo Su China 8 351 231 66 65 61 24 492
Rui Shao China 12 678 1.9× 481 2.1× 94 1.4× 27 0.4× 183 3.0× 37 879
Wei Bu China 15 399 1.1× 179 0.8× 29 0.4× 56 0.9× 75 1.2× 33 605
Mohammed A. M. Abdullah Iraq 14 193 0.5× 191 0.8× 13 0.2× 28 0.4× 102 1.7× 32 432
Ville Ojansivu Finland 11 462 1.3× 130 0.6× 17 0.3× 127 2.0× 67 1.1× 15 556
Yanyan Liang Macao 14 537 1.5× 444 1.9× 53 0.8× 11 0.2× 97 1.6× 57 760
Fang‐Hsuan Cheng Taiwan 12 435 1.2× 64 0.3× 72 1.1× 77 1.2× 69 1.1× 30 516
Chenxu Zhao China 9 889 2.5× 825 3.6× 73 1.1× 43 0.7× 132 2.2× 18 1.1k
Pengcheng Shi China 13 292 0.8× 58 0.3× 146 2.2× 24 0.4× 22 0.4× 54 516
T.E. Boult United States 10 518 1.5× 43 0.2× 82 1.2× 81 1.2× 98 1.6× 19 598
Yunxiao Qin China 12 908 2.6× 872 3.8× 97 1.5× 59 0.9× 118 1.9× 19 1.2k

Countries citing papers authored by Zhuo Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhuo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuo Su. A scholar is included among the top collaborators of Zhuo Su 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 Zhuo Su. Zhuo Su 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, Jiehua, Li Liu, Zhuo Su, et al.. (2025). Advancing Segment Anything Model for Efficient Salient Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
2.
Song, Xiaoxia, Tanyong Wei, Junkai Zhang, et al.. (2025). Minimizing nanorobot swarm loss for near-infrared-responsive chemo-photothermal therapy. Communications Materials. 6(1).
3.
Wen, Chao, Weiyi Zhang, Zhuo Su, et al.. (2025). HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors. 946–957. 3 indexed citations
4.
Su, Zhuo, Liu Li, Matthias Müller, et al.. (2025). Rapid Salient Object Detection With Difference Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 9061–9077. 1 indexed citations
5.
Xiao, Chao, Wei An, Zhuo Su, et al.. (2024). Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11532–11539. 17 indexed citations
6.
Su, Zhuo, Jiehua Zhang, Tianpeng Liu, et al.. (2024). Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3436–3449. 3 indexed citations
7.
Wen, Chao, et al.. (2024). OHTA: One-shot Hand Avatar via Data-driven Implicit Priors. arXiv (Cornell University). 799–810. 5 indexed citations
8.
Fang, Lijun, Min Jun Kim, Zhuo Su, & U Kei Cheang. (2024). Autonomous Navigation of Soft Rolling Microrobots Under a Helmholtz Coil System Across Fields of View Using Image Stitching. IEEE Robotics and Automation Letters. 10(1). 820–827. 1 indexed citations
9.
Li, Zeming, Yebin Liu, Yadong Mu, et al.. (2024). HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors. 74383–74410.
10.
Su, Zhuo, Jiehua Zhang, Longguang Wang, et al.. (2023). Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14956–14974. 21 indexed citations
11.
Su, Zhuo, Max Welling, Matti Pietikäinen, & Li Liu. (2022). SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. 547–556. 8 indexed citations
12.
Zhang, Jiehua, et al.. (2022). Dynamic Binary Neural Network by Learning Channel-Wise Thresholds. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1885–1889. 15 indexed citations
13.
Su, Zhuo, et al.. (2021). Beyond Vanilla Convolution: Random Pixel Difference Convolution for Face Perception. IEEE Access. 9. 139248–139259. 6 indexed citations
14.
Zhang, Jiehua, et al.. (2021). Binary Neural Network for Automated Visual Surface Defect Detection. Sensors. 21(20). 6868–6868. 5 indexed citations
15.
Zhang, Jiehua, Zhuo Su, & Li Liu. (2021). Median Pixel Difference Convolutional Network for Robust Face Recognition. 2 indexed citations
16.
Su, Zhuo, Qiang Qiu, Lingjun Zhao, et al.. (2021). Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognition Letters. 152. 398–405. 12 indexed citations
17.
Yu, Zitong, Chenxu Zhao, Zezheng Wang, et al.. (2020). Searching Central Difference Convolutional Networks for Face Anti-Spoofing. 5294–5304. 360 indexed citations breakdown →
18.
Su, Zhuo, Matti Pietikäinen, & Li Liu. (2019). BIRD: Learning Binary and Illumination Robust Descriptor for Face Recognition.. British Machine Vision Conference. 102. 9 indexed citations
19.
Liao, Yinghong, et al.. (2019). Learning Transmission Filtering Network for Image-Based Pm2.5 Estimation. 266–271. 2 indexed citations
20.
Tao, Ye, et al.. (2014). A Study on Brake Noise Using the Complex Modal Analysis Method. Applied Mechanics and Materials. 494-495. 42–46. 1 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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