Yaqiang Wu

39 total papers · 706 total citations
18 papers, 343 citations indexed

About

Yaqiang Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Yaqiang Wu has authored 18 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Yaqiang Wu's work include Handwritten Text Recognition Techniques (8 papers), Hand Gesture Recognition Systems (3 papers) and Vehicle License Plate Recognition (3 papers). Yaqiang Wu is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Hand Gesture Recognition Systems (3 papers) and Vehicle License Plate Recognition (3 papers). Yaqiang Wu collaborates with scholars based in China, United States and Hong Kong. Yaqiang Wu's co-authors include Lianwen Jin, Qianying Wang, Mingxiang Cai, Tianwei Wang, Yuanzhi Zhu, Canjie Luo, Xiaoxue Chen, Lele Xie, Sheng Zhang and Yuliang Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yaqiang Wu

12 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Yaqiang Wu	285	113	95	23	23	18	343
Zhongqin Wu	264 0.9×	102 0.9×	74 0.8×	5 0.2×	31 1.3×	21	364
Jawad Hasan Alkhateeb	288 1.0×	139 1.2×	135 1.4×	18 0.8×	23 1.0×	27	361
Praveen Krishnan	309 1.1×	171 1.5×	76 0.8×	10 0.4×	20 0.9×	22	399
Sha Xin Wei	318 1.1×	115 1.0×	54 0.6×	6 0.3×	40 1.7×	20	391
Salvador España-Boquera	240 0.8×	136 1.2×	68 0.7×	11 0.5×	24 1.0×	14	296
Wei Zhou	238 0.8×	144 1.3×	147 1.5×	21 0.9×	13 0.6×	11	371
Joan Puigcerver	290 1.0×	172 1.5×	41 0.4×	19 0.8×	40 1.7×	19	331
Bertrand Coüasnon	289 1.0×	76 0.7×	47 0.5×	28 1.2×	34 1.5×	29	326
Shiai Zhu	223 0.8×	114 1.0×	24 0.3×	42 1.8×	36 1.6×	22	333
Jeonghun Baek	305 1.1×	111 1.0×	86 0.9×	13 0.6×	13 0.6×	11	361

Countries citing papers authored by Yaqiang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yaqiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaqiang Wu

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