Yaqiang Wu

717 total citations
18 papers, 351 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 351 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), Topic Modeling (3 papers) and Vehicle License Plate Recognition (3 papers). Yaqiang Wu is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), Topic Modeling (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, Xiaoxue Chen, Tianwei Wang, Yuanzhi Zhu, Canjie Luo, Lele Xie, Yuliang Liu and Sheng Zhang 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 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaqiang Wu China 8 288 116 96 23 23 18 351
Praveen Krishnan India 12 312 1.1× 171 1.5× 77 0.8× 10 0.4× 20 0.9× 22 402
Kartik Dutta India 7 213 0.7× 123 1.1× 62 0.6× 32 1.4× 22 1.0× 9 266
Siyang Qin United States 8 175 0.6× 49 0.4× 74 0.8× 13 0.6× 10 0.4× 15 242
Salvador España-Boquera Spain 6 242 0.8× 136 1.2× 68 0.7× 11 0.5× 24 1.0× 14 298
Lucas Pascotti Valem Brazil 9 213 0.7× 61 0.5× 41 0.4× 15 0.7× 20 0.9× 41 267
Joan Puigcerver Spain 11 289 1.0× 171 1.5× 41 0.4× 19 0.8× 37 1.6× 19 329
Minesh Mathew India 11 372 1.3× 219 1.9× 110 1.1× 19 0.8× 13 0.6× 13 440
Joan Mas Spain 6 837 2.9× 166 1.4× 347 3.6× 22 1.0× 25 1.1× 12 873
Yunlu Xu China 8 324 1.1× 187 1.6× 67 0.7× 18 0.8× 14 0.6× 13 376
Ernesto Tapia Germany 9 152 0.5× 42 0.4× 34 0.4× 22 1.0× 4 0.2× 13 212

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

18 of 18 papers shown
1.
Zhang, Lingling, Wenjun Wu, Jun Liu, et al.. (2025). LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(4). 3939–3951.
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Tian, Feng, et al.. (2024). A Unified Knowledge Transfer Network for Generalized Category Discovery. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18961–18969.
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Gong, Jiangtao, et al.. (2023). Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–29. 6 indexed citations
8.
Zhang, Lingling, Jun Liu, Wenjun Wu, et al.. (2022). TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9147–9161. 5 indexed citations
9.
Jia, Chuanmin, et al.. (2022). FPX-NIC: An FPGA-Accelerated 4K Ultra-High-Definition Neural Video Coding System. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6385–6399. 17 indexed citations
10.
Chen, Yan, Jiaxin Liu, Qinghua Zheng, et al.. (2022). A prediction model of student performance based on self-attention mechanism. Knowledge and Information Systems. 65(2). 733–758. 20 indexed citations
11.
Liu, Jun, et al.. (2022). Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. IEEE Transactions on Circuits and Systems for Video Technology. 33(7). 3214–3228. 7 indexed citations
12.
Huang, Shen, Lijuan Wang, Xiang Wang, et al.. (2022). ICPR 2022 Challenge on Multi-Modal Subtitle Recognition. 2022 26th International Conference on Pattern Recognition (ICPR). 4974–4980. 1 indexed citations
13.
Wang, Jia-Peng, Chongyu Liu, Lianwen Jin, et al.. (2021). Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 2738–2745. 36 indexed citations
14.
Xie, Lele, Lianwen Jin, Jiapeng Wang, et al.. (2021). MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction. 1039–1045. 20 indexed citations
15.
Wang, Tianwei, Yuanzhi Zhu, Lianwen Jin, et al.. (2020). Decoupled Attention Network for Text Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12216–12224. 161 indexed citations
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Liu, Yuliang, et al.. (2019). Omnidirectional Scene Text Detection with Sequential-free Box Discretization. 3052–3058. 60 indexed citations
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Lei, Yu, et al.. (2019). Intelligent Neural Network Controller Optimization and Simulation Using GA. 951. 524–527. 1 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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