Qiang Hua

655 total citations
37 papers, 465 citations indexed

About

Qiang Hua is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qiang Hua has authored 37 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Qiang Hua's work include Face and Expression Recognition (7 papers), Neural Networks and Applications (6 papers) and Image Retrieval and Classification Techniques (4 papers). Qiang Hua is often cited by papers focused on Face and Expression Recognition (7 papers), Neural Networks and Applications (6 papers) and Image Retrieval and Classification Techniques (4 papers). Qiang Hua collaborates with scholars based in China, Malaysia and Canada. Qiang Hua's co-authors include Xizhao Wang, Chun-Ru Dong, Hong-Jie Xing, Yan Li, Witold Pedrycz, Jianmin Zhang, Zhenyu Lu, Gang Yao, Quanbo Ge and Haoyu Jiang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Qiang Hua

34 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Hua China 8 236 113 81 77 69 37 465
Lars Nolle United Kingdom 11 198 0.8× 65 0.6× 83 1.0× 76 1.0× 54 0.8× 65 522
Seok-Beom Roh South Korea 14 256 1.1× 77 0.7× 47 0.6× 79 1.0× 64 0.9× 44 534
Hong-Jie Xing China 13 391 1.7× 169 1.5× 51 0.6× 79 1.0× 94 1.4× 42 640
Lixin Ding China 14 325 1.4× 101 0.9× 42 0.5× 172 2.2× 62 0.9× 65 596
Nailah Al–Madi Jordan 11 312 1.3× 80 0.7× 69 0.9× 47 0.6× 44 0.6× 26 548
Sirapat Chiewchanwattana Thailand 13 393 1.7× 138 1.2× 109 1.3× 73 0.9× 52 0.8× 42 578
Siti Sophiayati Yuhaniz Malaysia 11 190 0.8× 82 0.7× 84 1.0× 26 0.3× 42 0.6× 46 494
Sheng-Ta Hsieh Taiwan 11 312 1.3× 96 0.8× 77 1.0× 167 2.2× 103 1.5× 48 582
K. Ganesan India 17 138 0.6× 309 2.7× 58 0.7× 47 0.6× 35 0.5× 49 700

Countries citing papers authored by Qiang Hua

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Hua. A scholar is included among the top collaborators of Qiang Hua 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 Qiang Hua. Qiang Hua 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.
Dong, Chun-Ru, et al.. (2025). Multi-modal Few-shot Image Recognition with enhanced semantic and visual integration. Image and Vision Computing. 157. 105490–105490.
2.
Dong, Chun-Ru, et al.. (2025). MEAI-Net: Multiview embedding and attention interaction for multivariate time series forecasting. Neurocomputing. 633. 129769–129769.
3.
Wang, Dong, Xu Zhang, Qiang Hua, Chun-Ru Dong, & Feng Zhang. (2025). Diffusion policy with Q-ensemble for offline reinforcement learning. International Journal of Machine Learning and Cybernetics. 16(11). 9717–9729. 1 indexed citations
4.
Dong, Chun-Ru, et al.. (2025). ZSIF: A zero-shot solar irradiance forecasting model based on satellite images and numerical series. Sustainable Energy Grids and Networks. 44. 102044–102044.
5.
Dong, Chun-Ru, et al.. (2025). An improved feature aggregation network for photovoltaic cell defect detection. Journal of Renewable and Sustainable Energy. 17(1). 1 indexed citations
6.
Hua, Qiang, et al.. (2024). A Multiscale Spatiotemporal Attention Network for Ground-Based Remote Sensing Cloud Image Sequence Prediction. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations
7.
Hua, Qiang, et al.. (2024). A Multi-scale neighbourhood feature interaction network for photovoltaic cell defect detection. Knowledge-Based Systems. 309. 112882–112882. 3 indexed citations
8.
Hua, Qiang, et al.. (2024). Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation. Tsinghua Science & Technology. 30(2). 585–599. 1 indexed citations
9.
Li, Lin, et al.. (2023). A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors. International Journal of Foundations of Computer Science. 36(5). 599–618. 1 indexed citations
10.
Hua, Qiang, et al.. (2022). A Pixel–Channel Hybrid Attention Model for Image Processing. Tsinghua Science & Technology. 27(5). 804–816. 9 indexed citations
11.
He, Yan‐Lin, Qiang Hua, Qunxiong Zhu, & Shan Lu. (2021). Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data. ISA Transactions. 126. 398–406. 45 indexed citations
12.
Li, Pan, et al.. (2020). Approximation algorithms for the selling with preference. Journal of Combinatorial Optimization. 40(2). 366–378. 1 indexed citations
13.
Hua, Qiang, et al.. (2019). Improved variational inference with dynamic routing flow. International Journal of Machine Learning and Cybernetics. 11(2). 301–312. 2 indexed citations
14.
Wang, Xizhao, Hong-Jie Xing, Yan Li, et al.. (2015). A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Transactions on Fuzzy Systems. 23(5). 1638–1654. 215 indexed citations
15.
Chen, Songcan, et al.. (2014). Fuzzy classifier based on fuzzy support vector machine. Journal of Intelligent & Fuzzy Systems. 26(1). 421–430. 8 indexed citations
16.
Hua, Qiang, et al.. (2012). Local similarity and diversity preserving discriminant projection for face and handwriting digits recognition. Neurocomputing. 86. 150–157. 15 indexed citations
17.
Hua, Qiang & Bin Wu. (2007). Peak Detection Method for Multimodal Function Optimization. 2484–2487. 2 indexed citations
18.
Li, Yong, Xizhong Wang, & Qiang Hua. (2004). Using BP-network to construct fuzzy decision tree with composite attributes. 29. 1791–1795. 1 indexed citations
19.
Hua, Qiang, et al.. (2004). Case-base maintenance based on representative selection for 1-NN algorithm. 2421–2425. 1 indexed citations
20.
Hua, Qiang, et al.. (2003). The research on learning algorithm of binary neural networks. 6. 541–546. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026