Wei Zhuo

1.4k total citations · 2 hit papers
18 papers, 832 citations indexed

About

Wei Zhuo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Wei Zhuo has authored 18 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Analytical Chemistry. Recurrent topics in Wei Zhuo's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Wei Zhuo is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Spectroscopy and Chemometric Analyses (3 papers). Wei Zhuo collaborates with scholars based in China, Australia and Switzerland. Wei Zhuo's co-authors include Yu‐Wing Tai, Qi Fan, Chi–Keung Tang, Lihe Yang, Lei Qi, Yang Gao, Yinghuan Shi, Xuming He, Miaomiao Liu and Mathieu Salzmann and has published in prestigious journals such as IEEE Transactions on Medical Imaging, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Wei Zhuo

15 papers receiving 815 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.

Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

2020 390 citations Qi Fan, Wei Zhuo et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation

2022 286 citations Lihe Yang, Wei Zhuo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Zhuo China	7	604	339	143	74	71	18	832
Lihe Yang China	7	570 0.9×	281 0.8×	169 1.2×	68 0.9×	89 1.3×	10	931
Guangliang Cheng China	17	731 1.2×	341 1.0×	159 1.1×	88 1.2×	65 0.9×	33	988
Amit Agrawal United States	6	849 1.4×	343 1.0×	160 1.1×	63 0.9×	79 1.1×	14	1.1k
Jun Hao Liew Singapore	9	799 1.3×	431 1.3×	136 1.0×	80 1.1×	137 1.9×	12	1.1k
Bowen Cheng United States	8	639 1.1×	220 0.6×	98 0.7×	86 1.2×	53 0.7×	12	855
Yingtian Zou Singapore	3	616 1.0×	390 1.2×	103 0.7×	67 0.9×	125 1.8×	4	881
Ambrish Tyagi United States	9	954 1.6×	413 1.2×	160 1.1×	82 1.1×	75 1.1×	13	1.2k
Gedas Bertasius United States	14	823 1.4×	261 0.8×	110 0.8×	36 0.5×	46 0.6×	35	1.0k
Xianxu Hou China	16	646 1.1×	297 0.9×	108 0.8×	62 0.8×	102 1.4×	38	959
François Rameau South Korea	13	555 0.9×	245 0.7×	104 0.7×	142 1.9×	77 1.1×	29	743

Countries citing papers authored by Wei Zhuo

Since Specialization

Citations

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

Fields of papers citing papers by Wei Zhuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Zhuo

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Zhuo. A scholar is included among the top collaborators of Wei Zhuo 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 Wei Zhuo. Wei Zhuo 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:

18 of 18 papers shown

Zhuo, Wei, et al.. (2025). Optical imaging combined with artificial intelligence in plant disease detection: a comprehensive review. Spectroscopy Letters. 58(7). 679–703. 2 indexed citations

Fan, Qi, Wei Zhuo, Chi–Keung Tang, & Yu‐Wing Tai. (2024). FSODv2: A Deep Calibrated Few-Shot Object Detection Network. International Journal of Computer Vision. 132(9). 3566–3585. 5 indexed citations

Zhuo, Wei, Yuan Wang, Junliang Chen, et al.. (2024). Enhancing Unsupervised Semantic Segmentation Through Context-Aware Clustering. IEEE Transactions on Multimedia. 26. 10081–10093. 1 indexed citations

Zhuo, Wei, et al.. (2023). QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. 5572–5583. 4 indexed citations

Zhuo, Wei, et al.. (2023). Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences. IEEE Transactions on Medical Imaging. 42(12). 3972–3986. 5 indexed citations

Yang, Lihe, Wei Zhuo, Lei Qi, Yinghuan Shi, & Yang Gao. (2022). ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4258–4267. 286 indexed citations breakdown →

Fan, Qi, Wei Zhuo, Chi–Keung Tang, & Yu‐Wing Tai. (2020). Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4012–4021. 390 indexed citations breakdown →

Zhuo, Wei, et al.. (2020). Rapid prediction of potato leaf moisture content.

Cheng, Lili, Wei Zhuo, Mingchao Sun, et al.. (2020). DeepPipes: Learning 3D pipelines reconstruction from point clouds. Graphical Models. 111. 101079–101079. 22 indexed citations

10.

Zhang, Feng, et al.. (2020). Detection of potato early blight based on hyperspectral imaging.

11.

Zhuo, Wei, et al.. (2019). Preparation of Oxidized Poly (2-hydroxyethyl acrylate) with Multiple Aldehyde Groups by TEMPO-mediated Oxidation for Gelatin Crosslinking. Journal of the American Leather Chemists Association. 114(5). 163–170. 6 indexed citations

12.

Zhuo, Wei, Yongdong Wu, Yanjiang Yang, et al.. (2018). AutoPrivacy: Automatic privacy protection and tagging suggestion for mobile social photo. Computers & Security. 76. 341–353. 8 indexed citations

13.

Zhuo, Wei, Mathieu Salzmann, Xuming He, & Miaomiao Liu. (2018). 3D Box Proposals From a Single Monocular Image of an Indoor Scene. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 2 indexed citations

14.

Zhuo, Wei, Mathieu Salzmann, Xuming He, & Miaomiao Liu. (2017). Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6269–6277. 19 indexed citations

15.

Zhuo, Wei, Mathieu Salzmann, Xuming He, & Miaomiao Liu. (2015). Indoor scene structure analysis for single image depth estimation. ANU Open Research (Australian National University). 614–622. 64 indexed citations

16.

Zhuo, Wei, et al.. (2012). MalwareVis. 41–47. 15 indexed citations

17.

Zhuo, Wei, et al.. (2010). GPU Acceleration of Integer Wavelet Transform for TIFF Image. 21. 138–143. 3 indexed citations

18.

Zhuo, Wei, et al.. (2010). Image Lossless Compression and Secure Transmission System Based on Integer Wavelet Transform. 10 of 3. 327–330.

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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