Mu Hu

547 total citations
9 papers, 324 citations indexed

About

Mu Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mu Hu has authored 9 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Mu Hu's work include Advanced Vision and Imaging (3 papers), Advanced MIMO Systems Optimization (2 papers) and Image Enhancement Techniques (2 papers). Mu Hu is often cited by papers focused on Advanced Vision and Imaging (3 papers), Advanced MIMO Systems Optimization (2 papers) and Image Enhancement Techniques (2 papers). Mu Hu collaborates with scholars based in China and United Kingdom. Mu Hu's co-authors include Xiaojin Gong, Shuling Wang, Li Fan, Jiabao Gao, Zhaoyang Zhang, Caijun Zhong, Geoffrey Ye Li, Xian‐Sheng Hua, Baisheng Lai and Jianqiang Huang and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters and Advanced materials research.

In The Last Decade

Mu Hu

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mu Hu China 4 227 116 73 54 33 9 324
Zhengfa Liang China 11 571 2.5× 103 0.9× 173 2.4× 27 0.5× 14 0.4× 26 653
Banghuai Li China 4 247 1.1× 49 0.4× 57 0.8× 22 0.4× 38 1.2× 5 363
Jasna Maver Slovenia 5 290 1.3× 191 1.6× 34 0.5× 11 0.2× 15 0.5× 15 353
Tao Lu China 10 223 1.0× 49 0.4× 48 0.7× 10 0.2× 16 0.5× 27 335
Min-Jian Zhao China 5 162 0.7× 110 0.9× 8 0.1× 90 1.7× 21 0.6× 12 285
Sugang Ma China 9 202 0.9× 85 0.7× 47 0.6× 29 0.5× 6 0.2× 52 270
Haicheng Bai China 11 155 0.7× 103 0.9× 135 1.8× 21 0.4× 13 0.4× 26 302
Yevhen Kuznietsov Switzerland 3 432 1.9× 116 1.0× 237 3.2× 7 0.1× 17 0.5× 4 459
Alasdair Newson France 5 219 1.0× 59 0.5× 21 0.3× 19 0.4× 8 0.2× 15 311

Countries citing papers authored by Mu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Hu. A scholar is included among the top collaborators of Mu 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 Mu Hu. Mu Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hu, Mu, et al.. (2022). Online Convolutional Reparameterization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 558–567. 51 indexed citations
2.
Wang, Shuling, et al.. (2022). Self-Paced Knowledge Distillation for Real-Time Image Guided Depth Completion. IEEE Signal Processing Letters. 29. 867–871. 3 indexed citations
3.
Hu, Mu, et al.. (2021). PENet: Towards Precise and Efficient Image Guided Depth Completion. 13656–13662. 185 indexed citations
4.
Hu, Mu, et al.. (2021). Self-supervised Visual-LiDAR Odometry with Flip Consistency. 3843–3851. 22 indexed citations
5.
Gao, Jiabao, Mu Hu, Caijun Zhong, Zhaoyang Zhang, & Geoffrey Ye Li. (2021). An Attention-Aided Deep Neural Network Design for Channel Estimation in Massive MIMO Systems. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 1 indexed citations
6.
Gao, Jiabao, Mu Hu, Caijun Zhong, Geoffrey Ye Li, & Zhaoyang Zhang. (2021). An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation. IEEE Transactions on Wireless Communications. 21(3). 1823–1835. 55 indexed citations
7.
8.
Hu, Mu, et al.. (2011). Hypergraph-Based User Preference Drift Recognition in Contextual Recommendation. Advanced materials research. 186. 474–478. 1 indexed citations
9.
Hu, Mu, et al.. (2010). Application in Real-Time Planning of UAV Based on Velocity Vector Field. 5022–5026. 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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