Yaocong Hu

871 total citations
30 papers, 594 citations indexed

About

Yaocong Hu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, Yaocong Hu has authored 30 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 5 papers in Mechanical Engineering and 4 papers in Automotive Engineering. Recurrent topics in Yaocong Hu's work include Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (9 papers) and Advanced Image Processing Techniques (6 papers). Yaocong Hu is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Human Pose and Action Recognition (9 papers) and Advanced Image Processing Techniques (6 papers). Yaocong Hu collaborates with scholars based in China and Singapore. Yaocong Hu's co-authors include Xiaobo Lu, Mingqi Lu, Chao Xie, Teng Li, Huan Chang, Fudong Nian, Yan Wang, Shengyu Zhao, Hao Tang and Hongjuan Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Wear.

In The Last Decade

Yaocong Hu

27 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaocong Hu China 13 323 116 116 101 91 30 594
Donghai Zhai China 11 190 0.6× 30 0.3× 87 0.8× 90 0.9× 33 0.4× 42 537
Hyung Hong South Korea 15 883 2.7× 48 0.4× 92 0.8× 23 0.2× 56 0.6× 27 1.2k
Alberto Fernández Spain 10 101 0.3× 28 0.2× 45 0.4× 45 0.4× 35 0.4× 18 328
Жипенг Ли China 11 153 0.5× 19 0.2× 118 1.0× 42 0.4× 49 0.5× 84 583
Huanjie Tao China 17 407 1.3× 185 1.6× 67 0.6× 46 0.5× 17 0.2× 45 609
Jia-Li Yin Taiwan 14 308 1.0× 46 0.4× 54 0.5× 16 0.2× 52 0.6× 34 528
Mo Yu China 10 229 0.7× 50 0.4× 160 1.4× 65 0.6× 20 0.2× 35 655
S. M. Mahbubur Rahman Bangladesh 12 366 1.1× 23 0.2× 155 1.3× 18 0.2× 69 0.8× 48 713

Countries citing papers authored by Yaocong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yaocong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaocong Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaocong Hu. A scholar is included among the top collaborators of Yaocong 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 Yaocong Hu. Yaocong 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, Tianwei, Hua Lin, Wenjin Yan, et al.. (2025). A dual-surfactant template system for fabricating N-doped porous carbon nanorods for use as supercapacitor electrodes. New Carbon Materials. 40(5). 1123–1134.
2.
Wang, Dongcheng, et al.. (2025). Pi-TabNet: An explainable physics-informed deep learning method for flatness prediction in cold-rolled copper strips. Journal of Manufacturing Processes. 150. 1260–1281.
3.
Yuan, Lei, Yizeng Wu, Jianwei Yu, et al.. (2024). CNFs Aerogel Composite with Phosphomolybdic Acid Intercalated Hydrotalcite: Preparation and Thermal Insulation Performance. Journal of Inorganic Materials. 40(4). 415–415. 1 indexed citations
4.
Wang, Wei, et al.. (2024). ILSR-Diff: joint face illumination normalization and super-resolution via diffusion models. Multimedia Systems. 30(5). 1 indexed citations
5.
Xie, Chao, Linfeng Fei, Huanjie Tao, et al.. (2024). Residual Quotient Learning for Zero-Reference Low-Light Image Enhancement. IEEE Transactions on Image Processing. 34. 365–378. 2 indexed citations
6.
Hu, Yaocong, et al.. (2024). A 6DOF pose measurement method for metal casts object based on stereo vision sensor. Sensor Review. 44(1). 22–34.
7.
Hu, Yaocong, et al.. (2023). ESDAR-net: towards high-accuracy and real-time driver action recognition for embedded systems. Multimedia Tools and Applications. 83(6). 18281–18307. 2 indexed citations
8.
Xie, Chao, et al.. (2023). IRNet: An Improved Zero-Shot Retinex Network for Low-Light Image Enhancement. Electronics. 12(14). 3162–3162. 6 indexed citations
9.
Zhao, Shengyu, et al.. (2023). Single-Image Super-Resolution Challenges: A Brief Review. Electronics. 12(13). 2975–2975. 14 indexed citations
10.
Zhao, Shengyu, et al.. (2023). Land Use and Land Cover Classification Meets Deep Learning: A Review. Sensors. 23(21). 8966–8966. 41 indexed citations
11.
Lu, Mingqi, Yaocong Hu, & Xiaobo Lu. (2022). A pose-aware dynamic weighting model using feature integration for driver action recognition. Engineering Applications of Artificial Intelligence. 113. 104918–104918. 9 indexed citations
12.
Zhu, Hongyu, Hao Tang, Yaocong Hu, Huanjie Tao, & Chao Xie. (2022). Lightweight Single Image Super-Resolution with Selective Channel Processing Network. Sensors. 22(15). 5586–5586. 7 indexed citations
13.
Hu, Yaocong, Mingqi Lu, Chao Xie, & Xiaobo Lu. (2021). FIN-GAN: Face illumination normalization via retinex-based self-supervised learning and conditional generative adversarial network. Neurocomputing. 456. 109–125. 16 indexed citations
14.
Hu, Yaocong, Mingqi Lu, & Xiaobo Lu. (2019). Feature refinement for image-based driver action recognition via multi-scale attention convolutional neural network. Signal Processing Image Communication. 81. 115697–115697. 30 indexed citations
15.
Hu, Yaocong, Mingqi Lu, & Xiaobo Lu. (2018). Driving behaviour recognition from still images by using multi-stream fusion CNN. Machine Vision and Applications. 30(5). 851–865. 58 indexed citations
16.
Xiang, Min, et al.. (2018). Numerical Investigation on Temperature and Flow Characteristics of a Tornado-Like Vortex by using Large-Eddy Simulation. Journal of Applied Fluid Mechanics. 11(3). 585–595. 4 indexed citations
17.
Hu, Yaocong & Xiaobo Lu. (2018). Real-time video fire smoke detection by utilizing spatial-temporal ConvNet features. Multimedia Tools and Applications. 77(22). 29283–29301. 64 indexed citations
18.
Hu, Yaocong, et al.. (2017). Experimental study on the temperature of the contact strip in sliding electric contact. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 231(10). 1268–1275. 17 indexed citations
19.
Hu, Yaocong, Huan Chang, Fudong Nian, Yan Wang, & Teng Li. (2016). Dense crowd counting from still images with convolutional neural networks. Journal of Visual Communication and Image Representation. 38. 530–539. 81 indexed citations
20.
Hu, Yaocong, et al.. (2015). Study on material transfer in the process of contact strips rubbing against a contact wire with electric current. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 230(2). 202–211. 12 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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