Haiyuan Wu

116 total papers · 1.0k total citations
57 papers, 491 citations indexed

About

Haiyuan Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Haiyuan Wu has authored 57 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 9 papers in Aerospace Engineering. Recurrent topics in Haiyuan Wu's work include Video Surveillance and Tracking Methods (16 papers), Advanced Vision and Imaging (16 papers) and Face and Expression Recognition (13 papers). Haiyuan Wu is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Advanced Vision and Imaging (16 papers) and Face and Expression Recognition (13 papers). Haiyuan Wu collaborates with scholars based in Japan, China and United States. Haiyuan Wu's co-authors include M. Yachida, Qian Chen, Chen Qian, Tadayoshi Shioyama, Qian Chen, Toshikazu Wada, Chunsheng Hua, Takahiro Wada, Yasuo Yoshida and Takashi Shimada and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Measurement Science and Technology and Infrared Physics & Technology.

In The Last Decade

Haiyuan Wu

45 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Haiyuan Wu	390	56	44	39	29	57	491
Yepeng Guan	305 0.8×	57 1.0×	40 0.9×	48 1.2×	19 0.7×	70	440
Constantin Vertan	279 0.7×	44 0.8×	45 1.0×	92 2.4×	8 0.3×	80	422
Kil-Houm Park	262 0.7×	49 0.9×	66 1.5×	85 2.2×	24 0.8×	74	504
Xiangsheng Huang	343 0.9×	33 0.6×	55 1.3×	43 1.1×	10 0.3×	53	517
Hua Zhang	251 0.6×	27 0.5×	33 0.8×	25 0.6×	28 1.0×	52	438
Pengfei Xu	311 0.8×	65 1.2×	17 0.4×	97 2.5×	24 0.8×	39	507
Takuya Funatomi	296 0.8×	27 0.5×	17 0.4×	57 1.5×	27 0.9×	87	520
Guillermo Peris‐Fajarnés	219 0.6×	64 1.1×	35 0.8×	92 2.4×	23 0.8×	49	539
Zengzhao Chen	213 0.5×	38 0.7×	30 0.7×	71 1.8×	73 2.5×	39	499
Jae‐Joon Han	335 0.9×	61 1.1×	99 2.3×	40 1.0×	6 0.2×	37	424

Countries citing papers authored by Haiyuan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Haiyuan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyuan Wu. A scholar is included among the top collaborators of Haiyuan 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 Haiyuan Wu. Haiyuan 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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