Qinghua Hu

2.4k total citations · 2 hit papers
41 papers, 1.8k citations indexed

About

Qinghua Hu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qinghua Hu has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Qinghua Hu's work include Energy Load and Power Forecasting (9 papers), Video Surveillance and Tracking Methods (5 papers) and Electric Power System Optimization (5 papers). Qinghua Hu is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Video Surveillance and Tracking Methods (5 papers) and Electric Power System Optimization (5 papers). Qinghua Hu collaborates with scholars based in China, Singapore and United Kingdom. Qinghua Hu's co-authors include Xiaochun Cao, Changqing Zhang, Huazhu Fu, Pengfei Zhu, Yun Wang, Dong Xu, Yuan Xie, Dacheng Tao, Dipti Srinivasan and Linhao Li and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.

In The Last Decade

Qinghua Hu

33 papers receiving 1.8k citations

Hit Papers

Generalized Latent Multi-View Subspace Clustering 2017 2026 2020 2023 2018 2017 100 200 300 400 500
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. Generalized Latent Multi-View Subspace Clustering
    2018 558 citations Changqing Zhang, Huazhu Fu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. Latent Multi-view Subspace Clustering
    2017 425 citations Changqing Zhang, Qinghua Hu et al. profile →

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 16 940 677 439 244 164 41 1.8k
B.S. Sohi India 18 395 0.4× 350 0.5× 626 1.4× 242 1.0× 225 1.4× 105 1.7k
Meiling Xu China 21 274 0.3× 701 1.0× 509 1.2× 83 0.3× 39 0.2× 45 1.5k
Liu Liu China 18 402 0.4× 298 0.4× 543 1.2× 76 0.3× 110 0.7× 60 1.3k
Ashish Shrivastava India 18 187 0.2× 278 0.4× 626 1.4× 49 0.2× 38 0.2× 118 1.1k
Kai Yang China 30 180 0.2× 259 0.4× 2.1k 4.8× 82 0.3× 739 4.5× 189 3.0k
Han Wang China 23 166 0.2× 391 0.6× 681 1.6× 30 0.1× 271 1.7× 124 1.5k
Lei Han China 15 378 0.4× 228 0.3× 259 0.6× 60 0.2× 19 0.1× 72 896

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, Yun, et al.. (2025). An End-to-End Ensemble Learning Approach for Enhancing Wind Power Forecasting. IEEE Transactions on Sustainable Energy. 17(1). 435–448. 2 indexed citations
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Jiang, Linwen, et al.. (2024). Optimizing apnea–hypopnea event detection in pediatric OSAHS diagnosis: An enhanced genetic algorithm approach. Biomedical Signal Processing and Control. 103. 107428–107428.
5.
Hu, Qinghua, et al.. (2024). A hybrid denoising approach for PPG signals utilizing variational mode decomposition and improved wavelet thresholding. Technology and Health Care. 32(4). 2793–2814. 3 indexed citations
6.
Sun, Yang, et al.. (2024). Task-Customized Mixture of Adapters for General Image Fusion. 7099–7108. 29 indexed citations
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Gao, Yang, et al.. (2023). Controllable Epitaxial-like Growth of Bi2S3/MoS2 Hybrid Aerogel Nanostructures for Sensitive NO2 Detection at Room Temperature. ACS Applied Nano Materials. 6(10). 8260–8269. 7 indexed citations
9.
Yang, Zhaoshu, et al.. (2023). A Model-based Design of the Water Membrane Evaporator for the Advanced Spacesuit. Microgravity Science and Technology. 35(1). 1 indexed citations
10.
Wang, Yun, et al.. (2023). A novel data-driven deep learning approach for wind turbine power curve modeling. Energy. 270. 126908–126908. 26 indexed citations
11.
He, Wei, Zheng Zheng, Haotian Bai, et al.. (2021). A biocompatible dual-AIEgen system without spectral overlap for quantitation of microbial viability and monitoring of biofilm formation. Materials Horizons. 8(6). 1816–1824. 13 indexed citations
12.
Zhang, Yuexing, Xiaoliang Zeng, Zhenqiang Ye, et al.. (2021). Thermally conductive and stretchable thermal interface materials prepared via vertical orientation of flake graphite. Composites Communications. 27. 100795–100795. 29 indexed citations
13.
Zhao, Hong, Qinghua Hu, Pengfei Zhu, Yu Wang, & Ping Wang. (2019). A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Transactions on Knowledge and Data Engineering. 33(7). 2833–2846. 56 indexed citations
14.
Wu, Aming, Yahong Han, Yi Yang, Qinghua Hu, & Fei Wu. (2019). Convolutional Reconstruction-to-Sequence for Video Captioning. IEEE Transactions on Circuits and Systems for Video Technology. 30(11). 4299–4308. 29 indexed citations
15.
Zhang, Changqing, Huazhu Fu, Qinghua Hu, et al.. (2018). Generalized Latent Multi-View Subspace Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(1). 86–99. 558 indexed citations breakdown →
16.
Wang, Yun, Qinghua Hu, Dipti Srinivasan, & Zheng Wang. (2018). Wind Power Curve Modeling and Wind Power Forecasting With Inconsistent Data. IEEE Transactions on Sustainable Energy. 10(1). 16–25. 119 indexed citations
17.
Li, Linhao, Qinghua Hu, Yahong Han, & Xin Li. (2017). Distribution Sensitive Product Quantization. IEEE Transactions on Circuits and Systems for Video Technology. 28(12). 3504–3515. 9 indexed citations
18.
Zhou, Yucan, Yongzhen Huang, Qinghua Hu, & Liang Wang. (2017). Kernel-Based Semantic Hashing for Gait Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2742–2752. 10 indexed citations
19.
Hu, Qinghua. (2009). Maximum Torque Control Strategy in Field-Weakening Region of Induction Motors for Electric Vehicles. 1 indexed citations
20.
Fengjun, Nie, et al.. (2005). The responses of sandstone to hot fluid flow and their identified markers—A case study from the western part of the Pearl River Mouth Basin. Dixue qianyuan. 3 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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