Hanbo Wu

455 total citations
17 papers, 306 citations indexed

About

Hanbo Wu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Human-Computer Interaction. According to data from OpenAlex, Hanbo Wu has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 5 papers in Human-Computer Interaction. Recurrent topics in Hanbo Wu's work include Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (9 papers) and Hand Gesture Recognition Systems (5 papers). Hanbo Wu is often cited by papers focused on Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (9 papers) and Hand Gesture Recognition Systems (5 papers). Hanbo Wu collaborates with scholars based in China, United States and Australia. Hanbo Wu's co-authors include Yibin Li, Xin Ma, Zhimeng Zhang, Minjin Peng, Jingjing Li, Bin Yu, Hong Yan, Han Xiao, Shiyue Li and Jason Gu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Hanbo Wu

16 papers receiving 299 citations

Peers

Hanbo Wu
Hanbo Wu
Citations per year, relative to Hanbo Wu Hanbo Wu (= 1×) peers José Ramón Padilla-López

Countries citing papers authored by Hanbo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hanbo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanbo Wu

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

All Works

17 of 17 papers shown
1.
Wu, Hanbo, et al.. (2025). Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition. Expert Systems with Applications. 270. 126415–126415.
2.
Wu, Hanbo, Xin Ma, & Yibin Li. (2024). Transformer-based multiview spatiotemporal feature interactive fusion for human action recognition in depth videos. Signal Processing Image Communication. 131. 117244–117244. 2 indexed citations
3.
Wu, Hanbo, et al.. (2024). Inter-object discriminative graph modeling for indoor scene recognition. Knowledge-Based Systems. 302. 112371–112371. 5 indexed citations
4.
Li, Haiyun, et al.. (2024). Cross-Spatiotemporal Graph Convolution Networks for Skeleton-Based Parkinsonian Gait MDS-UPDRS Score Estimation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 412–421. 8 indexed citations
5.
Zhang, Yipeng, et al.. (2024). Multi-scale sampling attention graph convolutional networks for skeleton-based action recognition. Neurocomputing. 597. 128086–128086. 8 indexed citations
6.
Wu, Hanbo, Xin Ma, & Yibin Li. (2023). Multi-level channel attention excitation network for human action recognition in videos. Signal Processing Image Communication. 114. 116940–116940. 7 indexed citations
7.
Wu, Hanbo, Xin Ma, & Yibin Li. (2021). Spatiotemporal Multimodal Learning With 3D CNNs for Video Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1250–1261. 99 indexed citations
8.
Liu, Zirui, Tong Yang, Li Chen, et al.. (2021). LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets. 991–1010. 27 indexed citations
10.
Lin, Li, Hanbo Wu, Zhicong Chen, et al.. (2020). Clear cell renal cell carcinoma detection by multimodal photoacoustic tomography. Photoacoustics. 21. 100221–100221. 2 indexed citations
11.
Ma, Xin, et al.. (2020). An End to End Framework With Adaptive Spatio-Temporal Attention Module for Human Action Recognition. IEEE Access. 8. 47220–47231. 9 indexed citations
12.
Wu, Hanbo, Xin Ma, & Yibin Li. (2019). Convolutional Networks With Channel and STIPs Attention Model for Action Recognition in Videos. IEEE Transactions on Multimedia. 22(9). 2293–2306. 24 indexed citations
13.
Wu, Hanbo, Xin Ma, & Yibin Li. (2019). Hierarchical dynamic depth projected difference images–based action recognition in videos with convolutional neural networks. International Journal of Advanced Robotic Systems. 16(1). 11 indexed citations
14.
Zhang, Zhimeng, Xin Ma, Hanbo Wu, & Yibin Li. (2018). Fall Detection in Videos With Trajectory-Weighted Deep-Convolutional Rank-Pooling Descriptor. IEEE Access. 7. 4135–4144. 20 indexed citations
15.
Wu, Hanbo, Xin Ma, Zhimeng Zhang, Haibo Wang, & Yibin Li. (2017). Collecting public RGB-D datasets for human daily activity recognition. International Journal of Advanced Robotic Systems. 14(4). 4038957211–4038957211. 9 indexed citations
16.
Xiao, Han, Minjin Peng, Hong Yan, et al.. (2016). An instrument based on protection motivation theory to predict Chinese adolescents’ intention to engage in protective behaviors against schistosomiasis. Global Health Research and Policy. 1(1). 15–15. 29 indexed citations
17.
Ma, Xin, et al.. (2014). Combining features for Chinese sign language recognition with Kinect. 1393–1398. 20 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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