Haoqi Fan

23.1k total citations · 6 hit papers
30 papers, 11.4k citations indexed

About

Haoqi Fan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Haoqi Fan has authored 30 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Haoqi Fan's work include Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Haoqi Fan is often cited by papers focused on Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (12 papers). Haoqi Fan collaborates with scholars based in United States, Israel and China. Haoqi Fan's co-authors include Kaiming He, Ross Girshick, Saining Xie, Yuxin Wu, Christoph Feichtenhofer, Jitendra Malik, Chao-Yuan Wu, Bo Xiong, Yanghao Li and Karttikeya Mangalam and has published in prestigious journals such as Journal of Low Temperature Physics, Flow Measurement and Instrumentation and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Haoqi Fan

28 papers receiving 11.1k citations

Hit Papers

5 papers align trajectories

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.

Momentum Contrast for Unsupervised Visual Representation Learning

2020 7.0k citations Kaiming He, Haoqi Fan et al. profile →
SlowFast Networks for Video Recognition

2019 2.0k citations Christoph Feichtenhofer, Haoqi Fan et al. profile →
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution

2019 439 citations Haoqi Fan, Zhicheng Yan et al. profile →
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

2022 424 citations Yanghao Li, Chao-Yuan Wu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Masked Feature Prediction for Self-Supervised Visual Pre-Training

2022 324 citations Haoqi Fan, Chao-Yuan Wu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Scaling Language-Image Pre-Training via Masking

2023 112 citations Yanghao Li, Haoqi Fan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoqi Fan United States	19	7.3k	6.0k	926	784	724	30	11.4k
Sergio Guadarrama United States	18	9.7k 1.3×	4.6k 0.8×	1.2k 1.3×	939 1.2×	596 0.8×	51	13.7k
Liang Lin China	66	11.9k 1.6×	4.8k 0.8×	1.1k 1.2×	1.5k 2.0×	505 0.7×	432	15.9k
Kate Saenko United States	44	11.4k 1.6×	9.2k 1.5×	1.1k 1.2×	604 0.8×	959 1.3×	134	16.8k
Weiming Hu China	51	8.8k 1.2×	3.0k 0.5×	1.2k 1.3×	701 0.9×	465 0.6×	306	11.5k
Jun Yu China	44	6.8k 0.9×	3.4k 0.6×	501 0.5×	948 1.2×	265 0.4×	276	9.5k
Guiguang Ding China	51	7.5k 1.0×	4.6k 0.8×	412 0.4×	1.0k 1.3×	481 0.7×	187	11.8k
Mingkui Tan China	40	5.4k 0.7×	3.3k 0.5×	582 0.6×	917 1.2×	473 0.7×	151	8.1k
Nuno Vasconcelos United States	57	11.2k 1.5×	6.1k 1.0×	706 0.8×	958 1.2×	381 0.5×	224	14.3k
Àgata Lapedriza Spain	18	7.1k 1.0×	4.8k 0.8×	515 0.6×	804 1.0×	1.3k 1.9×	43	12.0k
Ramakrishna Vedantam United States	7	7.3k 1.0×	6.8k 1.1×	920 1.0×	683 0.9×	2.5k 3.5×	10	15.2k

Countries citing papers authored by Haoqi Fan

Since Specialization

Citations

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

Fields of papers citing papers by Haoqi Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoqi Fan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Xiyao, et al.. (2025). LLLaVA-Critic: Learning to Evaluate Multimodal Models. 13618–13628. 1 indexed citations

2.

Cheng, Wenjie, et al.. (2024). Investigation on wear induced by solid-liquid two-phase ﬂow in a centrifugal pump based on EDEM-Fluent coupling method. Flow Measurement and Instrumentation. 96. 102542–102542. 18 indexed citations

3.

Cheng, Wenjie, Chunlei Shao, & Haoqi Fan. (2023). Impacts of Cavitation on Flow Field Distributions and Pump Stability in Cryogenic Pumps. Journal of Low Temperature Physics. 211(1-2). 86–107. 3 indexed citations

4.

Singh, Mannat, Quentin Duval, Kalyan Vasudev Alwala, et al.. (2023). The effectiveness of MAE pre-pretraining for billion-scale pretraining. 5461–5471. 14 indexed citations

5.

Li, Yanghao, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, & Kaiming He. (2023). Scaling Language-Image Pre-Training via Masking. 23390–23400. 112 indexed citations breakdown →

6.

Fan, Haoqi, et al.. (2023). MAViL: Masked Audio-Video Learners. 20371–20393.

7.

Wang, Xiao, Haoqi Fan, Yuandong Tian, Daisuke Kihara, & Xinlei Chen. (2022). On the Importance of Asymmetry for Siamese Representation Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16549–16558. 23 indexed citations

8.

Wu, Chao-Yuan, Yanghao Li, Karttikeya Mangalam, et al.. (2022). MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13577–13587. 94 indexed citations

9.

Fan, Haoqi, et al.. (2022). Masked Autoencoders as Spatiotemporal Learners. 35946–35958.

10.

Ma, Fan, Mike Zheng Shou, Linchao Zhu, et al.. (2022). Unified Transformer Tracker for Object Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8771–8780. 89 indexed citations

11.

Xiong, Bo, Haoqi Fan, Kristen Grauman, & Christoph Feichtenhofer. (2021). Multiview Pseudo-Labeling for Semi-supervised Learning from Video. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7189–7199. 39 indexed citations

12.

Feichtenhofer, Christoph, Haoqi Fan, Bo Xiong, Ross Girshick, & Kaiming He. (2021). A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. 3298–3308. 136 indexed citations

13.

Fan, Haoqi, Tullie Murrell, Heng Wang, et al.. (2021). PyTorchVideo. 3783–3786. 28 indexed citations

14.

Fan, Haoqi, Bo Xiong, Karttikeya Mangalam, et al.. (2021). Multiscale Vision Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6804–6815. 3 indexed citations

15.

Yang, Xitong, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, & Heng Wang. (2021). Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. 7563–7572. 18 indexed citations

16.

Feichtenhofer, Christoph, Haoqi Fan, Jitendra Malik, & Kaiming He. (2019). SlowFast Networks for Video Recognition. 6201–6210. 2000 indexed citations breakdown →

17.

Wu, Chao-Yuan, Christoph Feichtenhofer, Haoqi Fan, et al.. (2019). Long-Term Feature Banks for Detailed Video Understanding. 284–293. 242 indexed citations

18.

Fan, Haoqi, et al.. (2018). Stacked Latent Attention for Multimodal Reasoning. 1072–1080. 34 indexed citations

19.

Fan, Haoqi, et al.. (2017). Efficient K-Shot Learning with Regularized Deep Networks. arXiv (Cornell University). 32(1). 4382–4389. 5 indexed citations

20.

Fan, Haoqi, et al.. (2016). Going Deeper into First-Person Activity Recognition. 1894–1903. 161 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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