Hanbo Wu

21 total papers · 450 total citations
17 papers, 302 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 302 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 Canada. Hanbo Wu's co-authors include Xin Ma, Yibin Li, Zhimeng Zhang, Jingjing Li, Han Xiao, Hong Yan, Shiyue Li, Bin Yu, Minjin Peng 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 295 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hanbo Wu	200	104	96	78	33	17	302
Anindya Das Antar	229 1.1×	112 1.1×	88 0.9×	40 0.5×	36 1.1×	16	312
Javed Imran	294 1.5×	111 1.1×	175 1.8×	87 1.1×	16 0.5×	12	366
M. Ann Reinthal	165 0.8×	65 0.6×	28 0.3×	68 0.9×	30 0.9×	10	335
Xi Chen	253 1.3×	87 0.8×	109 1.1×	31 0.4×	22 0.7×	20	327
Pallavi Kaushik	131 0.7×	60 0.6×	51 0.5×	57 0.7×	32 1.0×	13	364
Anargyros Chatzitofis	242 1.2×	64 0.6×	36 0.4×	91 1.2×	14 0.4×	17	360
Hamid Bouchachia	128 0.6×	81 0.8×	50 0.5×	24 0.3×	33 1.0×	18	246
Xueyi Wang	183 0.9×	125 1.2×	59 0.6×	20 0.3×	45 1.4×	10	295
Tahera Hossain	161 0.8×	87 0.8×	46 0.5×	30 0.4×	55 1.7×	27	262
Harshala Gammulle	249 1.2×	64 0.6×	149 1.6×	48 0.6×	12 0.4×	14	307

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

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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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