Qinghao Hu

597 total citations
15 papers, 314 citations indexed

About

Qinghao Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qinghao Hu has authored 15 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Qinghao Hu's work include Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Neural Network Applications (5 papers). Qinghao Hu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Neural Network Applications (5 papers). Qinghao Hu collaborates with scholars based in China and Macao. Qinghao Hu's co-authors include Jian Cheng, Peisong Wang, Jiaxiang Wu, Yuhang Wang, Cong Leng, Yifan Zhang, Chunjie Zhang, Yang Liu, Hanqing Lu and Lifang Wu and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Multimedia.

In The Last Decade

Qinghao Hu

12 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qinghao Hu China 8 243 142 53 17 15 15 314
Jiazhen Lin China 6 191 0.8× 179 1.3× 56 1.1× 26 1.5× 25 1.7× 14 317
Shunfeng Zhou China 4 270 1.1× 216 1.5× 42 0.8× 15 0.9× 8 0.5× 6 392
Shijie Li China 10 140 0.6× 101 0.7× 87 1.6× 13 0.8× 19 1.3× 24 250
Elad Hoffer Israel 5 183 0.8× 152 1.1× 43 0.8× 14 0.8× 9 0.6× 10 256
Peter Jin United States 4 221 0.9× 130 0.9× 43 0.8× 26 1.5× 26 1.7× 6 296
Tongtong Yuan China 10 201 0.8× 109 0.8× 36 0.7× 9 0.5× 50 3.3× 26 339
Tianyun Zhang United States 9 169 0.7× 147 1.0× 75 1.4× 11 0.6× 18 1.2× 20 298
Jui-Hsin Lai Taiwan 3 417 1.7× 317 2.2× 33 0.6× 9 0.5× 22 1.5× 6 484
Philipp Benz South Korea 11 252 1.0× 241 1.7× 30 0.6× 23 1.4× 25 1.7× 12 447
Ting-Wu Chin United States 8 144 0.6× 121 0.9× 45 0.8× 12 0.7× 41 2.7× 13 226

Countries citing papers authored by Qinghao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Qinghao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghao Hu

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

All Works

15 of 15 papers shown
1.
Hu, Qinghao, et al.. (2025). Dual Assignment of labels for end-to-end fully convolutional object detection. Pattern Recognition. 169. 111877–111877. 1 indexed citations
2.
Qing, Chaojin, et al.. (2025). Parallel ELM-Based Timing Synchronization in OFDM Systems. IEEE Wireless Communications Letters. 14(10). 3219–3223.
3.
4.
Qing, Chaojin, et al.. (2025). A Low-Complexity Sensing-Aided Timing Synchronization Method for UAV-Assisted OFDM Systems. IEEE Wireless Communications Letters. 14(3). 911–915. 1 indexed citations
5.
Zhao, Liang, et al.. (2024). Multimodal Fusion Generative Adversarial Network for Image Synthesis. IEEE Signal Processing Letters. 31. 1865–1869. 2 indexed citations
6.
Zhao, Liang, et al.. (2023). Multi-Sentence Complementarily Generation for Text-to-Image Synthesis. IEEE Transactions on Multimedia. 26. 8323–8332. 9 indexed citations
7.
8.
Wang, Guan’an, Qinghao Hu, Yang Yang, Jian Cheng, & Zeng‐Guang Hou. (2021). Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 4110–4124. 14 indexed citations
9.
Wang, Peisong, Qinghao Hu, Yifan Zhang, et al.. (2018). Two-Step Quantization for Low-bit Neural Networks. 4376–4384. 85 indexed citations
10.
Hu, Qinghao, Peisong Wang, & Jian Cheng. (2018). From Hashing to CNNs: Training Binary Weight Networks via Hashing. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 51 indexed citations
11.
Hu, Qinghao, Jiaxiang Wu, Lu Bai, Yifan Zhang, & Jian Cheng. (2017). Fast K-means for Large Scale Clustering. 2099–2102. 8 indexed citations
12.
Hu, Qinghao, Jiaxiang Wu, Jian Cheng, Lifang Wu, & Hanqing Lu. (2017). Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. 1584–1590. 41 indexed citations
13.
Wang, Peisong, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, & Jian Cheng. (2017). DeepSearch. ACM Transactions on Multimedia Computing Communications and Applications. 14(1). 1–22. 9 indexed citations
14.
Cheng, Jian, Jiaxiang Wu, Cong Leng, Yuhang Wang, & Qinghao Hu. (2017). Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 4730–4743. 88 indexed citations
15.
Song, Qiang, et al.. (2015). Learning Deep Features For MSR-bing Information Retrieval Challenge. 169–172. 5 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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