Hua Zuo

1.8k total citations · 1 hit paper
36 papers, 1.4k citations indexed

About

Hua Zuo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Hua Zuo has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 5 papers in Control and Systems Engineering. Recurrent topics in Hua Zuo's work include Domain Adaptation and Few-Shot Learning (23 papers), Machine Learning and ELM (17 papers) and Multimodal Machine Learning Applications (11 papers). Hua Zuo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (23 papers), Machine Learning and ELM (17 papers) and Multimodal Machine Learning Applications (11 papers). Hua Zuo collaborates with scholars based in Australia, China and Canada. Hua Zuo's co-authors include Jie Lü, Guangquan Zhang, Vahid Behbood, Hao Peng, Shan Xue, Witold Pedrycz, Feng Liu, Jiadi Yu, Fei Xiong and Guihai Chen and has published in prestigious journals such as Renewable Energy, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Hua Zuo

33 papers receiving 1.4k citations

Hit Papers

Transfer learning using computational intelligence: A survey 2015 2026 2018 2022 2015 200 400 600
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.

  1. Transfer learning using computational intelligence: A survey
    2015 743 citations Jie Lü, Vahid Behbood et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Zuo Australia 12 833 364 139 94 84 36 1.4k
Ji Feng China 10 806 1.0× 375 1.0× 121 0.9× 81 0.9× 131 1.6× 22 1.6k
Vahid Behbood Australia 11 671 0.8× 246 0.7× 101 0.7× 77 0.8× 123 1.5× 20 1.3k
Pengzhen Ren Australia 9 711 0.9× 536 1.5× 90 0.6× 49 0.5× 56 0.7× 12 1.3k
Xiaowei Gu United Kingdom 27 930 1.1× 290 0.8× 259 1.9× 73 0.8× 101 1.2× 94 1.8k
Yun Xiao China 14 675 0.8× 829 2.3× 98 0.7× 62 0.7× 95 1.1× 60 1.8k
Shengsheng Wang China 20 423 0.5× 320 0.9× 54 0.4× 81 0.9× 64 0.8× 149 1.3k
Bin Gu China 8 414 0.5× 330 0.9× 115 0.8× 44 0.5× 89 1.1× 10 1000
Zhiwei Ye China 20 704 0.8× 492 1.4× 98 0.7× 50 0.5× 186 2.2× 211 1.8k

Countries citing papers authored by Hua Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Hua Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Zuo. A scholar is included among the top collaborators of Hua Zuo 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 Hua Zuo. Hua Zuo 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.
Lü, Jie, et al.. (2025). Fuzzy Domain Adaptation From Heterogeneous Source Teacher Models. IEEE Transactions on Fuzzy Systems. 33(6). 1840–1852. 1 indexed citations
2.
3.
Li, Wuming & Hua Zuo. (2024). New Explicit Exact Solutions for the (1+1) Dimensional Generalized Shallow Water Wave Equation. Asian Research Journal of Mathematics. 20(11). 163–176.
4.
Lü, Jie, et al.. (2024). Federated Fuzzy Transfer Learning With Domain and Category Shifts. IEEE Transactions on Fuzzy Systems. 32(12). 6708–6719. 1 indexed citations
5.
Zuo, Hua, et al.. (2024). Fuzzy Rule-Based Test-Time Adaptation for Class Imbalance in Dynamic Scenarios. IEEE Transactions on Fuzzy Systems. 33(8). 2469–2480. 1 indexed citations
6.
Lü, Jie, et al.. (2024). Multi-source domain adaptation handling inaccurate label spaces. Neurocomputing. 594. 127824–127824. 6 indexed citations
7.
8.
Lü, Jie, et al.. (2022). Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 7 indexed citations
9.
Kong, Linghe, Jiadi Yu, Hua Zuo, et al.. (2019). Distributed Feature Selection for Big Data Using Fuzzy Rough Sets. IEEE Transactions on Fuzzy Systems. 28(5). 846–857. 33 indexed citations
10.
Zuo, Hua, Guangquan Zhang, Witold Pedrycz, & Jie Lü. (2019). Domain Selection of Transfer Learning in Fuzzy Prediction Models. 35. 1–6. 6 indexed citations
11.
Lü, Jie, Hua Zuo, & Guangquan Zhang. (2019). Fuzzy Multiple-Source Transfer Learning. IEEE Transactions on Fuzzy Systems. 28(12). 3418–3431. 94 indexed citations
12.
Zuo, Hua, Guangquan Zhang, & Jie Lü. (2018). Semi-supervised transfer learning in Takagi-Sugeno fuzzy models. 316–322. 1 indexed citations
13.
Zuo, Hua, Jie Lü, Guangquan Zhang, & Feng Liu. (2018). Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. IEEE Transactions on Fuzzy Systems. 27(2). 291–303. 46 indexed citations
14.
Zuo, Hua, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, & Jie Lü. (2017). Granular Fuzzy Regression Domain Adaptation in Takagi–Sugeno Fuzzy Models. IEEE Transactions on Fuzzy Systems. 26(2). 847–858. 71 indexed citations
15.
Zuo, Hua, Guangquan Zhang, Jie Lü, & Witold Pedrycz. (2017). Fuzzy rule-based transfer learning for label space adaptation. 1–6. 4 indexed citations
16.
Zuo, Hua, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, & Jie Lü. (2016). Fuzzy Regression Transfer Learning in Takagi–Sugeno Fuzzy Models. IEEE Transactions on Fuzzy Systems. 25(6). 1795–1807. 119 indexed citations
17.
Lü, Jie, Vahid Behbood, Hao Peng, et al.. (2015). Transfer learning using computational intelligence: A survey. Knowledge-Based Systems. 80. 14–23. 743 indexed citations breakdown →
18.
Zuo, Hua, et al.. (2014). AdaBoost-based Multi-attribute Classification Technology and Its Application. Proceedings. 2 indexed citations
19.
Zuo, Hua, et al.. (2013). Solution analysis of multi-objective programming problem. 4. 1039–1044. 2 indexed citations
20.
Zuo, Hua, et al.. (2012). Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm. 46. 1237–1241. 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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