Kaizhu Huang

8.6k total citations · 3 hit papers
250 papers, 4.7k citations indexed

About

Kaizhu Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Kaizhu Huang has authored 250 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Artificial Intelligence, 131 papers in Computer Vision and Pattern Recognition and 21 papers in Computational Mechanics. Recurrent topics in Kaizhu Huang's work include Domain Adaptation and Few-Shot Learning (38 papers), Face and Expression Recognition (35 papers) and Machine Learning and ELM (19 papers). Kaizhu Huang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (38 papers), Face and Expression Recognition (35 papers) and Machine Learning and ELM (19 papers). Kaizhu Huang collaborates with scholars based in China, United Kingdom and Hong Kong. Kaizhu Huang's co-authors include Amir Hussain, Irwin King, Michael R. Lyu, Xu-Cheng Yin, Hongwei Hao, Haiqin Yang, Xuwang Yin, Simone Scardapane, Vinay Chamola and Indro Spinelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Kaizhu Huang

223 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

2023 672 citations Kaizhu Huang, Amir Hussain et al. profile →
Robust Text Detection in Natural Scene Images

2013 449 citations Kaizhu Huang et al. profile →
Deep learning for brain age estimation: A systematic review

2023 84 citations Kaizhu Huang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaizhu Huang China	32	2.0k	1.9k	478	425	296	250	4.7k
Jianping Gou China	26	1.9k 0.9×	2.0k 1.0×	389 0.8×	288 0.7×	365 1.2×	123	4.6k
Zhihui Li China	31	1.9k 0.9×	2.1k 1.1×	286 0.6×	263 0.6×	192 0.6×	131	4.4k
Wensheng Zhang China	38	2.0k 1.0×	2.3k 1.2×	408 0.9×	440 1.0×	346 1.2×	306	6.0k
Jie Shao China	36	2.3k 1.1×	1.6k 0.9×	371 0.8×	305 0.7×	370 1.3×	330	4.8k
Joey Tianyi Zhou Singapore	42	3.7k 1.8×	3.4k 1.8×	712 1.5×	288 0.7×	381 1.3×	172	6.5k
Yujie Li China	36	2.6k 1.3×	1.4k 0.7×	993 2.1×	513 1.2×	173 0.6×	202	5.7k
Yu Xue China	43	1.5k 0.7×	3.0k 1.6×	334 0.7×	426 1.0×	351 1.2×	177	5.6k
Zhanyu Ma China	38	2.0k 1.0×	2.4k 1.3×	348 0.7×	864 2.0×	471 1.6×	204	5.1k
Huaxiang Zhang China	40	2.5k 1.3×	2.1k 1.1×	270 0.6×	275 0.6×	186 0.6×	233	5.4k
Zhang Xiong China	34	2.1k 1.1×	983 0.5×	471 1.0×	375 0.9×	190 0.6×	228	4.8k

Countries citing papers authored by Kaizhu Huang

Since Specialization

Citations

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

Fields of papers citing papers by Kaizhu Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaizhu Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huang, Kaizhu, Qiufeng Wang, Xi Yang, et al.. (2024). Revisiting 3D point cloud analysis with Markov process. Pattern Recognition. 158. 110997–110997. 2 indexed citations

2.

Wang, Wei, et al.. (2024). Zero-shot text classification with knowledge resources under label-fully-unseen setting. Neurocomputing. 610. 128580–128580. 2 indexed citations

3.

Wang, Yuqi, et al.. (2024). DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness. 88–94.

4.

Yao, Kai, et al.. (2024). Unraveling Batch Normalization for Realistic Test-Time Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15136–15144.

5.

Li, Jun & Kaizhu Huang. (2024). Lightweight Multi-Scale Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images. Electronics. 14(1). 8–8. 1 indexed citations

6.

Yang, Xi, et al.. (2024). SaliencyCut: Augmenting plausible anomalies for anomaly detection. Pattern Recognition. 153. 110508–110508. 6 indexed citations

7.

Wang, Qiufeng, et al.. (2024). Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents. 9933–9942.

8.

Yang, Xi, et al.. (2024). EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Transactions on Cybernetics. 54(9). 5381–5393. 6 indexed citations

9.

Zhou, Zihao, et al.. (2023). Learning by Analogy: Diverse Questions Generation in Math Word Problem. 11091–11104. 10 indexed citations

10.

Yang, Xi, et al.. (2023). Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. Pattern Recognition. 144. 109883–109883. 11 indexed citations

11.

Sun, Jie, et al.. (2023). Machine Learning Methods in Skin Disease Recognition: A Systematic Review. Processes. 11(4). 1003–1003. 18 indexed citations

12.

Xu, Ke, et al.. (2023). Self-supervised generative learning for sequential data prediction. Applied Intelligence. 53(18). 20675–20689. 2 indexed citations

13.

Liu, Chang, Shan Luo, Kaizhu Huang, et al.. (2023). A collaborative and dynamic multi-source single-destination navigation algorithm for smart cities. Sustainable Energy Technologies and Assessments. 56. 103032–103032. 1 indexed citations

14.

Jin, Xiaobo, et al.. (2022). Exploiting Attention-Consistency Loss For Spatial-Temporal Stream Action Recognition. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–15. 21 indexed citations

15.

Zhang, Shufei, et al.. (2021). Towards Better Robust Generalization with Shift Consistency Regularization. International Conference on Machine Learning. 12524–12534. 6 indexed citations

16.

Chen, Qi, Wei Wang, Kaizhu Huang, Suparna De, & Frans Coenen. (2020). Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. 232–237. 5 indexed citations

17.

Liu, Dawei, et al.. (2019). Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors. Remote Sensing. 11(21). 2531–2531. 15 indexed citations

18.

Yang, Xu, et al.. (2018). Guided Policy Search for Sequential Multitask Learning. IEEE Transactions on Systems Man and Cybernetics Systems. 49(1). 216–226. 32 indexed citations

19.

Huang, Kaizhu, et al.. (2006). A Handwritten Chinese Address Recognition Method Using Recursive Holistic Word Matching and Edit Distance Based Verification Strategies. 3 indexed citations

20.

Huang, Kaizhu, Haiqin Yang, Irwin King, Michael R. Lyu, & Laiwan Chan. (2004). The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research. 5. 1253–1286. 84 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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