Shuo Zhuang

561 total citations
25 papers, 398 citations indexed

About

Shuo Zhuang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Plant Science. According to data from OpenAlex, Shuo Zhuang has authored 25 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 7 papers in Plant Science. Recurrent topics in Shuo Zhuang's work include Smart Agriculture and AI (7 papers), Infrared Target Detection Methodologies (7 papers) and Remote Sensing in Agriculture (6 papers). Shuo Zhuang is often cited by papers focused on Smart Agriculture and AI (7 papers), Infrared Target Detection Methodologies (7 papers) and Remote Sensing in Agriculture (6 papers). Shuo Zhuang collaborates with scholars based in China, Australia and United Kingdom. Shuo Zhuang's co-authors include Ping Wang, Boran Jiang, Maosong Li, Zhihong Gong, Meibin Qi, Yimin Liu, Gang Wang, Xiaohong Li, Cong Wang and Di Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Letters and Optics Express.

In The Last Decade

Shuo Zhuang

24 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Zhuang China 11 143 120 97 86 68 25 398
Jinhui Lan China 12 128 0.9× 81 0.7× 93 1.0× 35 0.4× 124 1.8× 33 426
Ujjwal Verma India 13 93 0.7× 165 1.4× 43 0.4× 49 0.6× 63 0.9× 39 462
Guangjun Zhang China 10 69 0.5× 126 1.1× 42 0.4× 87 1.0× 23 0.3× 31 403
Ruifang Zhai China 12 124 0.9× 102 0.8× 88 0.9× 50 0.6× 34 0.5× 51 475
Jianlong Wang China 10 131 0.9× 67 0.6× 39 0.4× 97 1.1× 119 1.8× 34 376
Aleem Khaliq Italy 7 221 1.5× 78 0.7× 214 2.2× 42 0.5× 39 0.6× 13 476
Arun N. Sivakumar United States 7 160 1.1× 87 0.7× 93 1.0× 59 0.7× 14 0.2× 12 333
Riccardo La Grassa Italy 9 91 0.6× 103 0.9× 66 0.7× 25 0.3× 41 0.6× 23 323
Shreyas S. Shivakumar United States 6 263 1.8× 87 0.7× 85 0.9× 68 0.8× 14 0.2× 9 408
Sheng Wen China 12 315 2.2× 30 0.3× 151 1.6× 41 0.5× 21 0.3× 31 518

Countries citing papers authored by Shuo Zhuang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Zhuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Zhuang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Zhuang. A scholar is included among the top collaborators of Shuo Zhuang 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 Shuo Zhuang. Shuo Zhuang 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.
Zhuang, Shuo, et al.. (2025). FAA-Net: A Frequency-Aware Attention Network for Single-Frame Infrared Small Target Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–16. 2 indexed citations
2.
Zhuang, Shuo, et al.. (2025). A Temporal-Semantic Interaction Network for multi-frame infrared small target detection. Knowledge-Based Systems. 324. 113840–113840. 2 indexed citations
3.
Wang, Jing, Xiaohong Li, Xuesong Dai, Shuo Zhuang, & Meibin Qi. (2025). Contrastive learning-based joint pre-training for unsupervised domain adaptive person re-identification. Multimedia Systems. 31(3). 1 indexed citations
4.
Liu, Yimin, et al.. (2024). Improving Consistency of Proxy-Level Contrastive Learning for Unsupervised Person Re-Identification. IEEE Transactions on Information Forensics and Security. 19. 6910–6922. 4 indexed citations
5.
Ai, Jiaqiu, Yanan Zhu, Shuo Zhuang, et al.. (2024). AIS-PVT: Long-Time AIS Data Assisted Pyramid Vision Transformer for Sea-Land Segmentation in Dual-Polarization SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 6 indexed citations
6.
Zhuang, Shuo, et al.. (2024). Large-Scale Spatial–Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation. Remote Sensing. 16(2). 216–216. 2 indexed citations
7.
Qi, Meibin, et al.. (2024). Fusing infrared polarization images for road detection via denoising diffusion probabilistic models. Optics Letters. 49(18). 5312–5312. 2 indexed citations
8.
Qi, Meibin, et al.. (2023). Exploring reliable infrared object tracking with spatio-temporal fusion transformer. Knowledge-Based Systems. 284. 111234–111234. 7 indexed citations
9.
Qi, Meibin, et al.. (2023). Noise-aware infrared polarization image fusion based on salient prior with attention-guided filtering network. Optics Express. 31(16). 25781–25781. 6 indexed citations
10.
Qi, Meibin, et al.. (2022). TIPFNet: a transformer-based infrared polarization image fusion network. Optics Letters. 47(16). 4255–4255. 15 indexed citations
11.
Qi, Meibin, et al.. (2022). FTC-Net: Fusion of Transformer and CNN Features for Infrared Small Target Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 8613–8623. 66 indexed citations
12.
Zhuang, Shuo, et al.. (2021). Improving Remote Sensing Image Captioning by Combining Grid Features and Transformer. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 24 indexed citations
13.
Wang, Di, et al.. (2020). A conformal prediction inspired approach for distribution regression with random Fourier features. Applied Soft Computing. 97. 106807–106807. 2 indexed citations
14.
Zhuang, Shuo, Ping Wang, & Boran Jiang. (2020). Vegetation extraction in the field using multi-level features. Biosystems Engineering. 197. 352–366. 3 indexed citations
15.
Zhuang, Shuo, Ping Wang, Boran Jiang, & Maosong Li. (2020). Learned features of leaf phenotype to monitor maize water status in the fields. Computers and Electronics in Agriculture. 172. 105347–105347. 50 indexed citations
16.
Wang, Di, et al.. (2020). Asymptotic analysis of locally weighted jackknife prediction. Neurocomputing. 417. 10–22. 4 indexed citations
17.
Jiang, Boran, et al.. (2019). Leaf Counting with Multi-Scale Convolutional Neural Network Features and Fisher Vector Coding. Symmetry. 11(4). 516–516. 11 indexed citations
18.
Zhuang, Shuo, Ping Wang, Boran Jiang, Gang Wang, & Cong Wang. (2019). A Single Shot Framework with Multi-Scale Feature Fusion for Geospatial Object Detection. Remote Sensing. 11(5). 594–594. 33 indexed citations
19.
Zhuang, Shuo, Ping Wang, & Boran Jiang. (2018). Segmentation of Green Vegetation in the Field Using Deep Neural Networks. 13 indexed citations
20.
Zhuang, Shuo, Ping Wang, Boran Jiang, Maosong Li, & Zhihong Gong. (2017). Early detection of water stress in maize based on digital images. Computers and Electronics in Agriculture. 140. 461–468. 53 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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