Yutong Bai

1.5k total citations · 1 hit paper
19 papers, 621 citations indexed

About

Yutong Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yutong Bai has authored 19 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Yutong Bai's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yutong Bai is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Yutong Bai collaborates with scholars based in China, United States and Germany. Yutong Bai's co-authors include Alan Yuille, Adam Kortylewski, Shuai Liu, Cheng Yang, Changhu Wang, Ju He, Jie-Neng Chen, Qihang Yu, Junfei Xiao and Yixiao Zhang and has published in prestigious journals such as The FASEB Journal, Free Radical Biology and Medicine and Journal of neurosurgery.

In The Last Decade

Yutong Bai

16 papers receiving 606 citations

Hit Papers

TransFG: A Transformer Ar... 2022 2026 2023 2024 2022 50 100 150 200 250
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. TransFG: A Transformer Architecture for Fine-Grained Recognition
    2022 270 citations Ju He, Jie-Neng Chen et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutong Bai China 9 390 226 86 70 26 19 621
Francisco Massa 2 368 0.9× 204 0.9× 67 0.8× 91 1.3× 28 1.1× 2 658
Zhuang Liu China 7 278 0.7× 183 0.8× 68 0.8× 71 1.0× 36 1.4× 21 673
Alexandre Sablayrolles France 5 437 1.1× 261 1.2× 72 0.8× 102 1.5× 31 1.2× 7 756
Zilin Gao China 5 407 1.0× 195 0.9× 49 0.6× 92 1.3× 36 1.4× 7 542
Feifei Lee Japan 15 399 1.0× 174 0.8× 49 0.6× 72 1.0× 21 0.8× 70 619
Lingqiao Li China 14 399 1.0× 266 1.2× 153 1.8× 118 1.7× 63 2.4× 44 678
Hanli Zhao China 16 355 0.9× 190 0.8× 50 0.6× 79 1.1× 31 1.2× 54 646
Zhiqiang He China 8 160 0.4× 168 0.7× 59 0.7× 47 0.7× 29 1.1× 25 425

Countries citing papers authored by Yutong Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yutong Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutong Bai

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

All Works

19 of 19 papers shown
1.
Bai, Yutong, et al.. (2025). Building resilience amidst geopolitical tensions: The case of U.S. MNE subsidiaries in China. Journal of International Management. 31(4). 101260–101260.
2.
3.
Bai, Yutong, Xinyang Geng, Karttikeya Mangalam, et al.. (2024). Sequential Modeling Enables Scalable Learning for Large Vision Models. 22861–22872. 37 indexed citations
4.
Bai, Yutong, Yujia Zhou, Zhicheng Dou, & Ji-Rong Wen. (2024). Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. ACM Transactions on Information Systems. 42(4). 1–30. 2 indexed citations
5.
Liu, Jingchun, Yunlong Zhang, Yunlong Zhang, et al.. (2024). PARP1 inhibition prevents oxidative stress in age-related hearing loss via PAR-Ca2+-AIF axis in cochlear strial marginal cells. Free Radical Biology and Medicine. 220. 222–235. 8 indexed citations
6.
Chen, Xiaoying, et al.. (2023). Advances in Understanding the Notch Signaling Pathway in the Cochlea. Current Pharmaceutical Design. 29(41). 3266–3273.
7.
Feng, Hao, et al.. (2023). Swarm Operation System and Its Intelligent Development. Journal of Physics Conference Series. 2460(1). 12148–12148. 1 indexed citations
8.
Bai, Yutong, Zeyu Wang, Junfei Xiao, et al.. (2023). Masked Autoencoders Enable Efficient Knowledge Distillers. 24256–24265. 30 indexed citations
9.
Bai, Yutong, Angtian Wang, Adam Kortylewski, & Alan Yuille. (2023). CoKe: Contrastive Learning for Robust Keypoint Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 65–74. 5 indexed citations
10.
Xue, Tao, Shujun Chen, Zijian Guo, et al.. (2023). Prefrontal association of subthalamic deep brain stimulation with rapid eye movement sleep behavior disorder in Parkinson’s disease. Journal of neurosurgery. 139(2). 451–462. 2 indexed citations
11.
Xiao, Junfei, Yutong Bai, Alan Yuille, & Zongwei Zhou. (2023). Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3577–3589. 46 indexed citations
12.
Li, Zhangcheng, Huafang Hao, Shuang Liu, et al.. (2023). A genome‐wide transposon mutagenesis screening identifies LppB as a key factor associated with Mycoplasma bovis colonization and invasion into host cells. The FASEB Journal. 37(10). e23176–e23176. 7 indexed citations
13.
He, Ju, Jie-Neng Chen, Shuai Liu, et al.. (2022). TransFG: A Transformer Architecture for Fine-Grained Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 852–860. 270 indexed citations breakdown →
14.
Bai, Yutong, Xinlei Chen, Alexander Kirillov, Alan Yuille, & Alexander C. Berg. (2022). Point-Level Region Contrast for Object Detection Pre-Training. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16040–16049. 27 indexed citations
15.
Yu, Qihang, Jianming Zhang, He Zhang, et al.. (2021). Mask Guided Matting via Progressive Refinement Network. 1154–1163. 58 indexed citations
16.
Yu, Qihang, Dong Yang, Holger R. Roth, et al.. (2020). C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. 4125–4134. 89 indexed citations
17.
Bai, Yutong, Qifan Zhang, Zexin Lu, & Yi Zhang. (2019). SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification. IEEE Access. 7. 84876–84889. 23 indexed citations
18.
Zheng, Wei, Yutong Bai, & Haoxuan Che. (2018). A computer‐assisted instructional method based on machine learning in software testing class. Computer Applications in Engineering Education. 26(5). 1150–1158. 15 indexed citations
19.
Meng, Zhongjie, Yutong Bai, & Panfeng Huang. (2017). Underactuated control of swing in orbit debris towing removal via tether space robots. 52 1. 1781–1786. 1 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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