Houdong Hu

4.6k total citations · 2 hit papers
3 papers, 568 citations indexed

About

Houdong Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Houdong Hu has authored 3 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Houdong Hu's work include Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Visual Attention and Saliency Detection (1 paper). Houdong Hu is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Visual Attention and Saliency Detection (1 paper). Houdong Hu collaborates with scholars based in United Kingdom and United States. Houdong Hu's co-authors include Hamid Palangi, Lei Zhang, Luowei Zhou, Jianfeng Gao, Jason J. Corso, Michael Zeng, Yumao Lu, Bin Xiao, Xiyang Dai and Lu Yuan and has published in prestigious journals such as 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Houdong Hu

3 papers receiving 551 citations

Hit Papers

Unified Vision-Language Pre-Training for Image Captioning... 2020 2026 2022 2024 2020 2024 100 200 300 400

Peers

Houdong Hu
Vedanuj Goswami United States
Ruoxi Sun China
Vincent Perot United States
N. Siddharth United Kingdom
Raphael Gontijo Lopes United States
Curtis Wigington United States
Houdong Hu
Citations per year, relative to Houdong Hu Houdong Hu (= 1×) peers Mateusz Malinowski

Countries citing papers authored by Houdong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Houdong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houdong Hu

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

All Works

3 of 3 papers shown
1.
Xiao, Bin, Haiping Wu, Weijian Xu, et al.. (2024). Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks. 4818–4829. 54 indexed citations breakdown →
2.
Han, Xiaotian, Quanzeng You, Chunyu Wang, et al.. (2023). MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4849–4858. 15 indexed citations
3.
Zhou, Luowei, Hamid Palangi, Lei Zhang, et al.. (2020). Unified Vision-Language Pre-Training for Image Captioning and VQA. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 13041–13049. 499 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026