Haoze Wu

765 total citations
18 papers, 60 citations indexed

About

Haoze Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Haoze Wu has authored 18 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Haoze Wu's work include Adversarial Robustness in Machine Learning (4 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (4 papers). Haoze Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (4 papers). Haoze Wu collaborates with scholars based in China, United States and Israel. Haoze Wu's co-authors include Zheng-Jun Zha, Clark Barrett, Zhenzhong Chen, Xuejin Chen, Dong Liu, Jiawei Liu, Xin Wen, Meng Wang, Mahmood Sharif and Huang Pei and has published in prestigious journals such as Scientific Reports, Sensors and Advanced Engineering Informatics.

In The Last Decade

Haoze Wu

12 papers receiving 60 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoze Wu China 6 32 28 10 7 6 18 60
Michael R. Zhang Canada 3 30 0.9× 32 1.1× 3 0.3× 3 0.4× 4 0.7× 3 72
Daniel W. Stouch United States 5 21 0.7× 21 0.8× 5 0.5× 5 0.7× 12 2.0× 7 52
Seyed Iman Mirzadeh United States 6 72 2.3× 89 3.2× 11 1.1× 8 1.1× 17 2.8× 14 145
Shivlal Mewada India 4 16 0.5× 23 0.8× 5 0.5× 14 2.0× 10 1.7× 7 62
Yifan Ding China 5 52 1.6× 27 1.0× 6 0.6× 6 0.9× 7 1.2× 17 97
Kuan Liu China 5 47 1.5× 20 0.7× 2 0.2× 6 0.9× 6 1.0× 14 82
Jaehong Yoon South Korea 6 56 1.8× 81 2.9× 3 0.3× 8 1.1× 3 0.5× 9 115
Lingjie Xu China 6 28 0.9× 27 1.0× 3 0.3× 16 2.3× 15 2.5× 8 71
D. J. Cox United States 2 8 0.3× 31 1.1× 6 0.6× 15 2.1× 4 0.7× 2 74
Hehui Zheng United Kingdom 4 50 1.6× 65 2.3× 9 0.9× 10 1.4× 24 4.0× 4 105

Countries citing papers authored by Haoze Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haoze Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoze Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoze Wu. A scholar is included among the top collaborators of Haoze Wu 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 Haoze Wu. Haoze Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Pei, Huang, et al.. (2024). Towards Efficient Verification of Quantized Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21152–21160. 8 indexed citations
3.
Wu, Haoze, Wei Jiang, Junjun Zhi, et al.. (2024). Using geotagged facial expressions to visualize and characterize different demographic groups’ emotion in theme parks. Scientific Reports. 14(1). 20983–20983.
4.
Wu, Haoze, et al.. (2024). Safe and Reliable Training of Learning-Based Aerospace Controllers. 1–10. 1 indexed citations
5.
Wu, Haoze, et al.. (2024). Improved Unsupervised Stitching Algorithm for Multiple Environments SuperUDIS. Sensors. 24(16). 5352–5352.
6.
7.
Liu, Tingyu & Haoze Wu. (2023). Optimal management of company procurement process from the perspective of supply chain. Highlights in Business Economics and Management. 8. 77–82.
8.
9.
Wu, Haoze, Alexander Robey, Nikolai Matni, et al.. (2023). Toward Certified Robustness Against Real-World Distribution Shifts. 537–553. 5 indexed citations
10.
Wu, Haoze, Clark Barrett, Mahmood Sharif, Nina Narodytska, & Gagandeep Singh. (2022). Scalable verification of GNN-based job schedulers. Proceedings of the ACM on Programming Languages. 6(OOPSLA2). 1036–1065. 4 indexed citations
11.
Wu, Haoze, et al.. (2022). Damaged buildings classification using residual network. 50–50.
12.
Wu, Haoze, et al.. (2021). Learning to Generate Industrial SAT Instances. Proceedings of the International Symposium on Combinatorial Search. 10(1). 206–207. 3 indexed citations
13.
Julian, Kyle D., et al.. (2020). Towards Verification of Neural Networks for Small Unmanned Aircraft Collision Avoidance. 1–10. 4 indexed citations
14.
Wu, Haoze, Alex Ozdemir, Aleksandar Zeljić, et al.. (2020). Parallelization Techniques for Verifying Neural Networks. reposiTUm (TU Wien). 5 indexed citations
15.
Liu, Jiawei, et al.. (2020). ASTA-Net: Adaptive Spatio-Temporal Attention Network for Person Re-Identification in Videos. 1706–1715. 10 indexed citations
16.
Wu, Haoze, et al.. (2020). Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition. 753–759. 2 indexed citations
17.
Wu, Haoze, Zheng-Jun Zha, Xin Wen, et al.. (2019). Cross-Fiber Spatial-Temporal Co-enhanced Networks for Video Action Recognition. 620–628. 10 indexed citations
18.
Wu, Haoze, Jiawei Liu, Zheng-Jun Zha, Zhenzhong Chen, & Xiaoyan Sun. (2019). Mutually Reinforced Spatio-Temporal Convolutional Tube for Human Action Recognition. 968–974. 6 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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2026