Dapeng Hu

1.3k total citations
6 papers, 382 citations indexed

About

Dapeng Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dapeng Hu has authored 6 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dapeng Hu's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Dapeng Hu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Dapeng Hu collaborates with scholars based in China, Singapore and United Kingdom. Dapeng Hu's co-authors include Jian Liang, Jiashi Feng, Ran He, Yunbo Wang, Hanshu Yan, Yunpeng Chen, Qibin Hou and Shuicheng Yan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Dapeng Hu

6 papers receiving 378 citations

Peers

Dapeng Hu
Qianfen Jiao China
Fabio Maria Carlucci Italy
Limin Su China
Pau Panareda Busto Germany
Zhihe Lu China
Sungeun Hong South Korea
I‐Hong Jhuo Taiwan
Hyun-Soo Kim South Korea
Tong Che Algeria
Aliaksandr Siarohin United States
Qianfen Jiao China
Dapeng Hu
Citations per year, relative to Dapeng Hu Dapeng Hu (= 1×) peers Qianfen Jiao

Countries citing papers authored by Dapeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Hu

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

All Works

6 of 6 papers shown
1.
Liang, Jian, Dapeng Hu, Jiashi Feng, & Ran He. (2022). DINE: Domain Adaptation from Single and Multiple Black-box Predictors. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7993–8003. 53 indexed citations
2.
Hu, Dapeng, Jian Liang, Qibin Hou, Hanshu Yan, & Yunpeng Chen. (2021). Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Transactions on Image Processing. 30. 9359–9371. 33 indexed citations
3.
Liang, Jian, Dapeng Hu, & Jiashi Feng. (2021). Domain Adaptation with Auxiliary Target Domain-Oriented Classifier. 16627–16637. 126 indexed citations
4.
Liang, Jian, Dapeng Hu, Yunbo Wang, Ran He, & Jiashi Feng. (2021). Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 1–1. 165 indexed citations
5.
Liang, Jian, Dapeng Hu, & Jiashi Feng. (2020). Combating Domain Shift with Self-Taught Labeling.. arXiv (Cornell University). 1 indexed citations
6.
Hu, Dapeng, Jian Liang, Qibin Hou, et al.. (2020). PANDA: Prototypical Unsupervised Domain Adaptation.. 4 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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2026