Weixin Luo

5.0k total citations · 3 hit papers
30 papers, 3.1k citations indexed

About

Weixin Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Weixin Luo has authored 30 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Weixin Luo's work include Anomaly Detection Techniques and Applications (11 papers), Human Pose and Action Recognition (8 papers) and Video Surveillance and Tracking Methods (6 papers). Weixin Luo is often cited by papers focused on Anomaly Detection Techniques and Applications (11 papers), Human Pose and Action Recognition (8 papers) and Video Surveillance and Tracking Methods (6 papers). Weixin Luo collaborates with scholars based in China, Singapore and United Kingdom. Weixin Luo's co-authors include Shenghua Gao, Wen Liu, Dongze Lian, Xu Tang, Zongwei Wang, Jia Zheng, Jing Li, Lixin Duan, Meng Yang and Xi Peng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Journal of Alloys and Compounds.

In The Last Decade

Weixin Luo

29 papers receiving 3.0k citations

Hit Papers

Future Frame Prediction for Anomaly Detection - A New Bas... 2017 2026 2020 2023 2018 2017 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixin Luo China 20 2.4k 1.7k 1.4k 651 296 30 3.1k
Dongze Lian China 11 1.3k 0.5× 870 0.5× 687 0.5× 312 0.5× 143 0.5× 22 1.6k
Budhaditya Saha Australia 10 1.2k 0.5× 503 0.3× 622 0.4× 254 0.4× 159 0.5× 19 1.5k
Moussa Reda Mansour Brazil 9 1.1k 0.5× 447 0.3× 599 0.4× 240 0.4× 151 0.5× 19 1.4k
Christian Micheloni Italy 28 649 0.3× 1.8k 1.1× 364 0.3× 522 0.8× 35 0.1× 130 2.6k
Paul Bergmann Germany 9 1.6k 0.7× 634 0.4× 454 0.3× 91 0.1× 169 0.6× 9 2.2k
Bumsub Ham South Korea 24 754 0.3× 1.9k 1.1× 343 0.2× 319 0.5× 90 0.3× 62 2.5k
Shanshan Zhang China 22 947 0.4× 2.3k 1.4× 159 0.1× 208 0.3× 81 0.3× 91 2.9k
Danijel Skočaj Slovenia 20 1.1k 0.4× 843 0.5× 260 0.2× 99 0.2× 70 0.2× 67 2.0k
Dong Gong China 17 1.0k 0.4× 1.1k 0.6× 488 0.3× 230 0.4× 132 0.4× 43 2.0k
David Sattlegger Germany 7 1.6k 0.7× 584 0.3× 448 0.3× 76 0.1× 169 0.6× 7 2.1k

Countries citing papers authored by Weixin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Weixin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixin Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Weixin Luo. A scholar is included among the top collaborators of Weixin Luo 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 Weixin Luo. Weixin Luo 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.
Wang, Engang, et al.. (2025). Multi-stage rolling regulates deformation twins and Sc-rich precipitation behavior to enhance comprehensive properties of advanced Cu-Cr-Zr-Sc alloys. Materials Characterization. 225. 115184–115184. 3 indexed citations
2.
Wang, Engang, et al.. (2025). In-situ formation of Cu4(Sc, Zr) with deformation-induced precipitation enhances the comprehensive properties of Cu-Cr-Zr-Sc alloys. Journal of Alloys and Compounds. 1029. 180774–180774. 3 indexed citations
3.
Wang, Engang, et al.. (2025). Investigation of plastic deformation mechanism of Cu-Cr-Zr-Sc alloys via in-situ EBSD. Journal of Alloys and Compounds. 1039. 183013–183013.
4.
Wang, Engang, Weixin Luo, Xue Zhao, et al.. (2025). Texture evolution and shear bands formation induced by Sc doping in Cu–Cr–Zr alloys. Journal of Materials Research and Technology. 35. 4327–4338. 3 indexed citations
5.
Luo, Weixin, et al.. (2022). SVIP: Sequence VerIfication for Procedures in Videos. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19858–19870. 9 indexed citations
6.
Zhao, Zibo, Wen Liu, Yanyu Xu, et al.. (2021). Prior Based Human Completion. The HKU Scholars Hub (University of Hong Kong). 7947–7957. 5 indexed citations
7.
Luo, Weixin, Wen Liu, Dongze Lian, & Shenghua Gao. (2021). Future Frame Prediction Network for Video Anomaly Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7505–7520. 76 indexed citations
8.
Zheng, Jia, et al.. (2021). Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild. The HKU Scholars Hub (University of Hong Kong). 15440–15449. 14 indexed citations
9.
Gao, Shenghua, et al.. (2020). Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting. Neurocomputing. 392. 98–107. 31 indexed citations
10.
Zheng, Jia, Weixin Luo, & Zhixin Piao. (2019). Cascaded ConvLSTMs Using Semantically-Coherent Data Synthesis for Video Object Segmentation. IEEE Access. 7. 132120–132129. 5 indexed citations
11.
Luo, Weixin, Wen Liu, Dongze Lian, et al.. (2019). Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 1070–1084. 166 indexed citations
12.
Lian, Dongze, Jing Li, Jia Zheng, Weixin Luo, & Shenghua Gao. (2019). Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization. The HKU Scholars Hub (University of Hong Kong). 1821–1830. 137 indexed citations
13.
Liu, Wen, Weixin Luo, Zhengxin Li, Peilin Zhao, & Shenghua Gao. (2019). Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. 3023–3030. 81 indexed citations
14.
Zhou, Kang, Zaiwang Gu, Wen Liu, et al.. (2018). Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. PubMed. 2018. 2724–2727. 59 indexed citations
15.
Liu, Wen, Weixin Luo, Dongze Lian, & Shenghua Gao. (2018). Future Frame Prediction for Anomaly Detection - A New Baseline. The HKU Scholars Hub (University of Hong Kong). 6536–6545. 895 indexed citations breakdown →
16.
Lian, Dongze, Lina Hu, Weixin Luo, et al.. (2018). Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 3010–3023. 59 indexed citations
17.
Luo, Weixin, Wen Liu, & Shenghua Gao. (2017). A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. The HKU Scholars Hub (University of Hong Kong). 341–349. 583 indexed citations breakdown →
18.
Yang, Meng, Heyou Chang, Weixin Luo, & Jian Yang. (2017). Fisher discrimination dictionary pair learning for image classification. Neurocomputing. 269. 13–20. 24 indexed citations
19.
Yang, Meng, Weiyang Liu, Weixin Luo, & Linlin Shen. (2016). Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 24 indexed citations
20.
Luo, Weixin, et al.. (2014). GPU Accelerated 3D Image Deformation Using Thin-Plate Splines. 1142–1149. 2 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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