Haoyue Bai

580 total citations
22 papers, 286 citations indexed

About

Haoyue Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Haoyue Bai has authored 22 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Haoyue Bai's work include Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Haoyue Bai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (4 papers). Haoyue Bai collaborates with scholars based in China, Hong Kong and Sweden. Haoyue Bai's co-authors include Jiageng Mao, Hang Xu, Minzhe Niu, Chunjing Xu, Xiaodan Liang, S.-H. Gary Chan, Fengwei Zhou, Nanyang Ye, Zhenguo Li and Lanqing Hong and has published in prestigious journals such as Applied Physics Letters, IEEE Access and Pattern Recognition.

In The Last Decade

Haoyue Bai

18 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoyue Bai China 8 191 127 61 23 22 22 286
Bo Fu China 9 163 0.9× 109 0.9× 107 1.8× 21 0.9× 5 0.2× 22 301
Gianluca Agresti Italy 10 187 1.0× 88 0.7× 25 0.4× 26 1.1× 6 0.3× 14 245
Sunghoon Im South Korea 13 441 2.3× 58 0.5× 135 2.2× 28 1.2× 12 0.5× 35 517
Tao Lu China 10 223 1.2× 50 0.4× 49 0.8× 34 1.5× 49 2.2× 27 335
Kan Chen United States 10 300 1.6× 182 1.4× 28 0.5× 15 0.7× 13 0.6× 21 404
Han-Pang Chiu United States 12 246 1.3× 115 0.9× 188 3.1× 8 0.3× 5 0.2× 40 389
Zhengfa Liang China 11 571 3.0× 52 0.4× 103 1.7× 29 1.3× 18 0.8× 26 653
Qi Cai China 8 314 1.6× 191 1.5× 31 0.5× 7 0.3× 7 0.3× 16 380
Anastasia Ioannidou Greece 3 171 0.9× 53 0.4× 26 0.4× 39 1.7× 69 3.1× 5 304

Countries citing papers authored by Haoyue Bai

Since Specialization
Citations

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

Fields of papers citing papers by Haoyue Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyue Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyue Bai. A scholar is included among the top collaborators of Haoyue Bai 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 Haoyue Bai. Haoyue Bai 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.
Cheng, Le, Haoyue Bai, Mingfang Zhang, et al.. (2025). Inhibitory effect and molecular mechanism on polyphenol oxidase by ultraviolet-C and L-cysteine treatment. Current Research in Food Science. 10. 101062–101062. 1 indexed citations
2.
Wang, Dongjie, et al.. (2025). Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures. IEEE Transactions on Big Data. 1–12.
3.
Jiang, Yuqian, Xinge Zhang, Haoyue Bai, et al.. (2025). Strain-engineering spin-valley locking effect in altermagnetic monolayer with multipiezo properties. Applied Physics Letters. 126(5). 8 indexed citations
4.
Bai, Haoyue, et al.. (2024). Artificial Potential Field based Improved JPS in Weighted Maps. 10–16. 1 indexed citations
5.
6.
7.
Ye, Nanyang, Kaican Li, Haoyue Bai, et al.. (2022). OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7937–7948. 36 indexed citations
8.
Bai, Haoyue, et al.. (2022). Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning. IEEE Multimedia. 29(3). 69–79. 3 indexed citations
9.
Bai, Haoyue, Jiageng Mao, & S.-H. Gary Chan. (2022). A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. Neurocomputing. 508. 1–18. 19 indexed citations
10.
Mao, Jiageng, Minzhe Niu, Haoyue Bai, et al.. (2021). Voxel Transformer for 3D Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3144–3153. 1 indexed citations
11.
Bai, Haoyue, et al.. (2021). Designing a Partially Understandable Neural Network through Semantic Embedding. 32. 1–8. 2 indexed citations
12.
Mao, Jiageng, Minzhe Niu, Haoyue Bai, et al.. (2021). Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2703–2712. 125 indexed citations
13.
Bai, Haoyue, Haofeng Zhang, & Qiong Wang. (2021). Dual discriminative auto-encoder network for zero shot image recognition. Journal of Intelligent & Fuzzy Systems. 40(3). 5159–5170. 3 indexed citations
14.
Bai, Haoyue, Rui Sun, Lanqing Hong, et al.. (2021). DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6705–6713. 35 indexed citations
15.
Bai, Haoyue, Fengwei Zhou, Lanqing Hong, et al.. (2021). NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8300–8309. 18 indexed citations
16.
Bai, Haoyue, et al.. (2021). MVQAS. 4675–4679. 2 indexed citations
17.
Zhang, Haofeng, Haoyue Bai, Yang Long, Li Liu, & Ling Shao. (2020). A plug-in attribute correction module for generalized zero-shot learning. Pattern Recognition. 112. 107767–107767. 11 indexed citations
18.
Bai, Haoyue, František Franěk, & William F. Smyth. (2016). The New Periodicity Lemma revisited. Discrete Applied Mathematics. 212. 30–36.
19.
Bai, Haoyue, Antoine Deza, & František Franěk. (2015). On a lemma of Crochemore and Rytter. Journal of Discrete Algorithms. 34. 18–22.
20.
Bai, Haoyue, František Franěk, & William F. Smyth. (2014). Two squares canonical factorization. 52–58. 2 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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