Yuqi Huo

1.8k total citations · 1 hit paper
15 papers, 506 citations indexed

About

Yuqi Huo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yuqi Huo has authored 15 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Yuqi Huo's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Vision and Imaging (4 papers). Yuqi Huo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Vision and Imaging (4 papers). Yuqi Huo collaborates with scholars based in China, Hong Kong and United Kingdom. Yuqi Huo's co-authors include Zhiwu Lu, Ping Luo, Jianping Shi, Hongwei Yi, Mingyu Ding, Zhiwu Lu, Haoyu Lu, Nanyi Fei, Zhe Wang and Ji-Rong Wen and has published in prestigious journals such as Nature Communications, Sensors and Information and Software Technology.

In The Last Decade

Yuqi Huo

13 papers receiving 497 citations

Hit Papers

Towards artificial general intelligence via a multimodal ... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Towards artificial general intelligence via a multimodal foundation model
    2022 170 citations Nanyi Fei, Zhiwu Lu et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuqi Huo China 7 331 147 134 38 24 15 506
Denny Zhou United States 11 296 0.9× 287 2.0× 129 1.0× 46 1.2× 10 0.4× 19 627
Bo Jiang China 13 287 0.9× 148 1.0× 45 0.3× 18 0.5× 16 0.7× 68 646
Sami Gazzah Tunisia 10 193 0.6× 127 0.9× 22 0.2× 12 0.3× 27 1.1× 25 324
Chaoyou Fu China 10 350 1.1× 129 0.9× 32 0.2× 10 0.3× 14 0.6× 25 536
Xiaohua Wang China 8 117 0.4× 184 1.3× 36 0.3× 54 1.4× 21 0.9× 37 370
Varun Ravi Kumar India 11 150 0.5× 90 0.6× 56 0.4× 20 0.5× 5 0.2× 22 306
Miguel García-Silvente Spain 13 308 0.9× 171 1.2× 59 0.4× 8 0.2× 26 1.1× 26 478
Carolina Reta Mexico 10 266 0.8× 114 0.8× 41 0.3× 34 0.9× 41 1.7× 17 370

Countries citing papers authored by Yuqi Huo

Since Specialization
Citations

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

Fields of papers citing papers by Yuqi Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqi Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuqi Huo. A scholar is included among the top collaborators of Yuqi Huo 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 Yuqi Huo. Yuqi Huo 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.
Huo, Yuqi, Longteng Guo, Haoyu Lu, et al.. (2025). Efficient Motion-Aware Video MLLM. 24159–24168.
2.
3.
Lu, Haoyu, Yuqi Huo, Mingyu Ding, Nanyi Fei, & Zhiwu Lu. (2023). Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. 20(4). 569–582. 11 indexed citations
4.
5.
Fei, Nanyi, Zhiwu Lu, Yizhao Gao, et al.. (2022). Towards artificial general intelligence via a multimodal foundation model. Nature Communications. 13(1). 3094–3094. 170 indexed citations breakdown →
6.
Lu, Haoyu, Nanyi Fei, Yuqi Huo, et al.. (2022). COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15671–15680. 47 indexed citations
7.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Compressed Video Contrastive Learning. Neural Information Processing Systems. 34. 3 indexed citations
8.
Yang, Guoxing, et al.. (2021). Complex Action Segmentation in Compressed Videos. 1 indexed citations
9.
Huo, Yuqi, Mingyu Ding, Haoyu Lu, et al.. (2021). Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. 751–757. 16 indexed citations
10.
Huo, Yuqi, Hongwei Yi, Zhe Wang, et al.. (2020). Learning Depth-Guided Convolutions for Monocular 3D Object Detection. 4306–4315. 56 indexed citations
11.
Ding, Mingyu, Yuqi Huo, Hongwei Yi, et al.. (2020). Learning Depth-Guided Convolutions for Monocular 3D Object Detection. The HKU Scholars Hub (University of Hong Kong). 11669–11678. 178 indexed citations
12.
Huo, Yuqi, Yao Lu, Yulei Niu, Zhiwu Lu, & Ji-Rong Wen. (2019). Coarse-to-Fine Grained Classification. 1033–1036. 12 indexed citations
13.
Huo, Yuqi, et al.. (2019). Zero-Shot Learning with Few Seen Class Samples. 32. 1336–1341. 2 indexed citations
14.
Ding, Mingyu, Yuqi Huo, Jun Hu, & Zhiwu Lu. (2018). DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis.. British Machine Vision Conference. 115. 3 indexed citations
15.
Mi, Qing, Jacky Keung, Yuqi Huo, & Solomon Mensah. (2018). Not all bug reopens are negative: A case study on eclipse bug reports. Information and Software Technology. 99. 93–97. 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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