Boyue Wang

1.1k total citations · 1 hit paper
52 papers, 635 citations indexed

About

Boyue Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Boyue Wang has authored 52 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Boyue Wang's work include Face and Expression Recognition (17 papers), Advanced Graph Neural Networks (13 papers) and Video Surveillance and Tracking Methods (11 papers). Boyue Wang is often cited by papers focused on Face and Expression Recognition (17 papers), Advanced Graph Neural Networks (13 papers) and Video Surveillance and Tracking Methods (11 papers). Boyue Wang collaborates with scholars based in China, Australia and United States. Boyue Wang's co-authors include Baocai Yin, Yongli Hu, Junbin Gao, Yanfeng Sun, Yong Zhang, Junzhong Ji, Xiaodan Zhang, Xinhang Song, Jiapu Wang and Kan Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Boyue Wang

41 papers receiving 627 citations

Hit Papers

Hierarchical Spatio–Temporal Graph Convolutional Networks... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boyue Wang China 14 305 268 169 108 77 52 635
Su Yang China 15 229 0.8× 212 0.8× 141 0.8× 179 1.7× 69 0.9× 67 676
Xinglin Piao China 10 79 0.3× 119 0.4× 218 1.3× 149 1.4× 52 0.7× 36 410
Ajeesh P. Kurian Canada 8 102 0.3× 87 0.3× 154 0.9× 103 1.0× 87 1.1× 13 485
Zhibin Li China 14 127 0.4× 150 0.6× 187 1.1× 200 1.9× 41 0.5× 62 549
Sin G. Teo Singapore 10 80 0.3× 245 0.9× 224 1.3× 165 1.5× 116 1.5× 27 638
Tianqi Zhang China 9 78 0.3× 150 0.6× 56 0.3× 42 0.4× 36 0.5× 25 367
Zhanquan Sun China 10 119 0.4× 220 0.8× 47 0.3× 36 0.3× 60 0.8× 35 466
Xin Qin China 13 133 0.4× 186 0.7× 35 0.2× 105 1.0× 136 1.8× 30 575
Suresh Kallam India 13 124 0.4× 114 0.4× 62 0.4× 34 0.3× 36 0.5× 68 609
Xiangrui Cai China 12 152 0.5× 431 1.6× 62 0.4× 42 0.4× 29 0.4× 36 729

Countries citing papers authored by Boyue Wang

Since Specialization
Citations

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

Fields of papers citing papers by Boyue Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boyue Wang

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

All Works

20 of 20 papers shown
1.
Wang, Boyue, et al.. (2025). Counterfactual Dual-Bias VQA: A Multimodality Debias Learning for Robust Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16366–16378.
2.
Wang, Boyue, et al.. (2025). Multi-Modal Entity in One Word: Aligning Multi-Level Semantics for Multi-Modal Knowledge Graph Completion. IEEE Transactions on Big Data. 11(6). 3539–3552.
3.
Wang, Jiapu, Boyue Wang, Shirui Pan, et al.. (2024). IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. 1954–1962. 9 indexed citations
4.
Wang, Boyue, et al.. (2024). Mixed-Modality Clustering via Generative Graph Structure Matching. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8773–8786.
5.
Wang, Boyue, Yanfeng Sun, Junbin Gao, et al.. (2024). Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering. IEEE Transactions on Big Data. 11(3). 1346–1356.
6.
Wang, Boyue, et al.. (2024). Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 12643–12654. 1 indexed citations
7.
Wang, Jiapu, et al.. (2023). Multi-Level Interaction Based Knowledge Graph Completion. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 386–396. 11 indexed citations
8.
Zhang, Yong, et al.. (2023). Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems. 24(4). 3855–3867. 87 indexed citations breakdown →
9.
Wang, Jiapu, Boyue Wang, Junbin Gao, et al.. (2023). TDN: Triplet Distributor Network for Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering. 35(12). 13002–13014. 9 indexed citations
10.
Wang, Jiapu, Boyue Wang, Junbin Gao, et al.. (2023). QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14018–14030. 8 indexed citations
11.
Liu, Tengfei, Yongli Hu, Boyue Wang, et al.. (2022). Hierarchical Graph Convolutional Networks for Structured Long Document Classification. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 8071–8085. 12 indexed citations
12.
Zhang, Yong, et al.. (2022). STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. IEEE Transactions on Big Data. 9(1). 200–211. 43 indexed citations
13.
Hu, Yongli, Cuicui Luo, Junbin Gao, et al.. (2022). Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. Journal of Visual Communication and Image Representation. 84. 103457–103457.
14.
Wang, Jiapu, Boyue Wang, Junbin Gao, Yongli Hu, & Baocai Yin. (2022). Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Transactions on Knowledge Discovery from Data. 17(1). 1–19. 13 indexed citations
15.
Sun, Yanfeng, Yongli Hu, Fuqing Duan, et al.. (2022). Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23680–23693. 64 indexed citations
16.
Hu, Yongli, et al.. (2021). AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4214–4226. 28 indexed citations
17.
Wang, Boyue, et al.. (2020). Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Transactions on Multimedia. 23. 216–227. 30 indexed citations
18.
Ji, Junzhong, et al.. (2020). Spatio-Temporal Memory Attention for Image Captioning. IEEE Transactions on Image Processing. 29. 7615–7628. 62 indexed citations
19.
Zhang, Yong, et al.. (2019). Grassmann Manifold Based State Analysis Method of Traffic Surveillance Video. Applied Sciences. 9(7). 1319–1319. 3 indexed citations
20.
Wang, Boyue, Yongli Hu, Junbin Gao, Yanfeng Sun, & Baocai Yin. (2017). Localized LRR on Grassmann Manifold: An Extrinsic View. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2524–2536. 10 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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