Qinghua Hu

35.6k total citations · 8 hit papers
431 papers, 23.1k citations indexed

About

Qinghua Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Qinghua Hu has authored 431 papers receiving a total of 23.1k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Artificial Intelligence, 175 papers in Computer Vision and Pattern Recognition and 102 papers in Computational Theory and Mathematics. Recurrent topics in Qinghua Hu's work include Rough Sets and Fuzzy Logic (99 papers), Domain Adaptation and Few-Shot Learning (58 papers) and Face and Expression Recognition (57 papers). Qinghua Hu is often cited by papers focused on Rough Sets and Fuzzy Logic (99 papers), Domain Adaptation and Few-Shot Learning (58 papers) and Face and Expression Recognition (57 papers). Qinghua Hu collaborates with scholars based in China, United States and Hong Kong. Qinghua Hu's co-authors include Pengfei Zhu, Wangmeng Zuo, Daren Yu, Qilong Wang, Peihua Li, Zongxia Xie, Degang Chen, Jinfu Liu, Changzhong Wang and Dongwei Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Astrophysical Journal.

In The Last Decade

Qinghua Hu

406 papers receiving 22.5k citations

Hit Papers

ECA-Net: Efficient Channe... 2008 2026 2014 2020 2020 2021 2008 2019 2021 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghua Hu China 68 9.3k 8.7k 6.2k 4.0k 2.1k 431 23.1k
Xindong Wu China 67 9.5k 1.0× 14.2k 1.6× 2.3k 0.4× 6.3k 1.6× 1.5k 0.7× 655 28.3k
Sankar K. Pal India 58 5.9k 0.6× 6.9k 0.8× 3.3k 0.5× 2.0k 0.5× 2.2k 1.0× 332 16.5k
Sam Kwong Hong Kong 73 11.0k 1.2× 8.5k 1.0× 4.3k 0.7× 772 0.2× 2.4k 1.1× 671 24.5k
Laith Abualigah Jordan 70 3.8k 0.4× 12.9k 1.5× 4.5k 0.7× 2.5k 0.6× 591 0.3× 612 26.4k
Mohamed Abd Elaziz Egypt 77 3.4k 0.4× 11.6k 1.3× 3.4k 0.5× 1.5k 0.4× 733 0.4× 438 24.3k
Aboul Ella Hassanien Egypt 69 3.8k 0.4× 8.0k 0.9× 2.2k 0.4× 1.7k 0.4× 716 0.3× 669 19.5k
Maoguo Gong China 69 5.0k 0.5× 6.8k 0.8× 2.9k 0.5× 1.2k 0.3× 6.0k 2.9× 605 19.0k
Alexander J. Smola United States 42 8.8k 0.9× 11.8k 1.4× 1.2k 0.2× 2.5k 0.6× 1.6k 0.7× 100 25.2k
Derviş Karaboğa Türkiye 50 3.5k 0.4× 13.6k 1.6× 5.2k 0.8× 1.3k 0.3× 570 0.3× 134 26.8k
Xin‐She Yang United Kingdom 67 3.7k 0.4× 16.7k 1.9× 7.6k 1.2× 1.4k 0.4× 747 0.4× 325 34.1k

Countries citing papers authored by Qinghua Hu

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Hu. A scholar is included among the top collaborators of Qinghua Hu 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 Qinghua Hu. Qinghua Hu 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, Xinbo, et al.. (2025). Uncertainty-Aware Superpoint Graph Transformer for Weakly Supervised 3-D Semantic Segmentation. IEEE Transactions on Fuzzy Systems. 33(6). 1899–1912. 1 indexed citations
2.
Hu, Qinghua, et al.. (2025). Heterogeneous Dynamic-Aware GNN for RUL Prediction of Aeroengine. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
3.
Shi, Yucheng, et al.. (2024). VADS: Visuo-Adaptive DualStrike attack on visual question answer. Computer Vision and Image Understanding. 249. 104137–104137.
4.
Liu, Yang, et al.. (2024). Soft independence guided filter pruning. Pattern Recognition. 153. 110488–110488. 3 indexed citations
5.
Wang, Yu, et al.. (2024). Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 11927–11935. 2 indexed citations
6.
Cao, Bing, et al.. (2024). LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene Completion. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12330–12344. 3 indexed citations
7.
Wang, Haijun, Qinghua Hu, Yang Liu, et al.. (2024). Study on the Rheological and Thixotropic Properties of Fiber-Reinforced Cemented Paste Backfill Containing Blast Furnace Slag. Minerals. 14(10). 964–964. 3 indexed citations
8.
Xia, Shuyin, et al.. (2024). Granular-Ball Fuzzy Set and Its Implement in SVM. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6293–6304. 8 indexed citations
9.
Wang, Yu, et al.. (2024). Exploring Diverse Representations for Open Set Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5731–5739. 3 indexed citations
10.
Liu, Yang, et al.. (2023). Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7197–7211. 9 indexed citations
11.
Wang, Qilong, Jiangtao Xie, Pengfei Zhu, et al.. (2023). Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15802–15819. 2 indexed citations
12.
Cao, Bing, et al.. (2023). Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Transactions on Multimedia. 26. 995–1010. 12 indexed citations
13.
Fan, Tingting, Yuanyuan Lu, Lu Yang, et al.. (2022). Meta-analysis of Cd input-output fluxes in agricultural soil. Chemosphere. 303(Pt 2). 134974–134974. 35 indexed citations
14.
Wang, Mingxiu, et al.. (2022). Correction of multi-scale sunglint reflections from the water surface in airborne high-spatial resolution optical images. Optics Express. 30(25). 45910–45910. 2 indexed citations
15.
Zhu, Pengfei, et al.. (2020). Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. 196–200. 6 indexed citations
16.
Wu, Xumeng, Qiuxiang Huang, Yu Mao, et al.. (2019). Sensors for determination of uranium: A review. TrAC Trends in Analytical Chemistry. 118. 89–111. 103 indexed citations
17.
Hu, Qinghua. (2010). Technique for constructing multiple classification systems based on rough set reduction. Computer Engineering and Applications Journal. 1 indexed citations
18.
Wei, Jinmao, Xiaojie Yuan, Qinghua Hu, & Shuqin Wang. (2009). A novel measure for evaluating classifiers. Expert Systems with Applications. 37(5). 3799–3809. 46 indexed citations
19.
Hu, Qinghua, Zongxia Xie, & Daren Yu. (2007). Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognition. 40(12). 3509–3521. 324 indexed citations
20.
Hu, Qinghua. (2007). Fault Diagnosis Method Based on Sign Directed Graph Models. Journal of Power Engineering. 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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