Yuzhe Yang

2.4k total citations · 2 hit papers
28 papers, 1.1k citations indexed

About

Yuzhe Yang is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Yuzhe Yang has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Environmental Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Yuzhe Yang's work include Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Impact of Light on Environment and Health (4 papers). Yuzhe Yang is often cited by papers focused on Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Impact of Light on Environment and Health (4 papers). Yuzhe Yang collaborates with scholars based in China, United States and South Korea. Yuzhe Yang's co-authors include Kaigui Bian, Lingyang Song, Dina Katabi, Zijie Zheng, Zhu Han, Zhiwen Hu, Hariharan Rahul, Hao Wang, Shichao Yue and Minghao Guo and has published in prestigious journals such as Nature Medicine, Journal of Cleaner Production and Science Advances.

In The Last Decade

Yuzhe Yang

28 papers receiving 1.1k citations

Hit Papers

Artificial intelligence-enabled detection and assessment ... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzhe Yang China 16 266 220 176 156 149 28 1.1k
Taesup Moon South Korea 16 358 1.3× 281 1.3× 103 0.6× 413 2.6× 497 3.3× 60 1.5k
Ömer Faruk Ertuğrul Türkiye 17 383 1.4× 247 1.1× 70 0.4× 164 1.1× 26 0.2× 68 1.2k
Shuo Wang China 19 105 0.4× 487 2.2× 124 0.7× 71 0.5× 84 0.6× 114 1.4k
Eros Pasero Italy 18 211 0.8× 139 0.6× 114 0.6× 236 1.5× 82 0.6× 117 1.2k
Goo‐Rak Kwon South Korea 25 378 1.4× 489 2.2× 43 0.2× 112 0.7× 73 0.5× 117 1.6k
Moacir Antonelli Ponti Brazil 21 357 1.3× 495 2.3× 47 0.3× 121 0.8× 42 0.3× 61 1.2k
Baihua Li United Kingdom 19 92 0.3× 499 2.3× 85 0.5× 182 1.2× 50 0.3× 76 1.1k
Kun Wang China 20 328 1.2× 665 3.0× 26 0.1× 297 1.9× 107 0.7× 124 1.8k
Zhi Zhang China 15 426 1.6× 826 3.8× 59 0.3× 149 1.0× 70 0.5× 40 1.7k
Jing Guo China 17 137 0.5× 265 1.2× 26 0.1× 304 1.9× 46 0.3× 141 1.2k

Countries citing papers authored by Yuzhe Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yuzhe Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzhe Yang

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

All Works

20 of 20 papers shown
1.
Yang, Yuzhe, Yujia Liu, Domenico Mastrodicasa, et al.. (2025). Demographic bias of expert-level vision-language foundation models in medical imaging. Science Advances. 11(13). eadq0305–eadq0305. 10 indexed citations
2.
Yang, Yuzhe, Haoran Zhang, Judy Wawira Gichoya, Dina Katabi, & Marzyeh Ghassemi. (2024). The limits of fair medical imaging AI in real-world generalization. Nature Medicine. 30(10). 2838–2848. 72 indexed citations breakdown →
3.
Zhao, Jingbo, et al.. (2024). Sedimentary characteristics and paleoclimatic significance of the lower cretaceous red sandstone in the Central Ordos Basin. Environmental Earth Sciences. 83(2). 2 indexed citations
4.
Vaidya, Anurag, Richard J. Chen, Drew F. K. Williamson, et al.. (2024). Demographic bias in misdiagnosis by computational pathology models. Nature Medicine. 30(4). 1174–1190. 39 indexed citations
5.
6.
Xie, Jun, Yi Xiao, Xinyu Zhu, et al.. (2023). The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults. Expert Systems with Applications. 241. 122640–122640. 1 indexed citations
8.
Shen, Yiqing, et al.. (2022). Self-Distillation from the Last Mini-Batch for Consistency Regularization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11933–11942. 50 indexed citations
9.
Tarolli, Christopher G., Rumen Hristov, Stella Jensen-Roberts, et al.. (2022). Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response. Science Translational Medicine. 14(663). eadc9669–eadc9669. 61 indexed citations
10.
Yang, Yuzhe, Yuan Yuan, Guo Zhang, et al.. (2022). Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals. Nature Medicine. 28(10). 2207–2215. 160 indexed citations breakdown →
11.
Li, Tianhong, Peng Cao, Yuan Yuan, et al.. (2022). Targeted Supervised Contrastive Learning for Long-Tailed Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6908–6918. 108 indexed citations
12.
Zhang, Kexin, et al.. (2022). Life cycle environmental and economic assessment of electric bicycles with different batteries in China. Journal of Cleaner Production. 385. 135715–135715. 20 indexed citations
13.
Xie, Jun, Yi Xiao, Guanghua Xu, et al.. (2022). Steady-state auditory motion based potentials evoked by intermittent periodic virtual sound source and the effect of auditory noise on EEG enhancement. Hearing Research. 428. 108670–108670. 6 indexed citations
14.
Zhang, Guo, et al.. (2021). Contactless In-Home Monitoring of the Long-Term Respiratory and Behavioral Phenotypes in Older Adults With COVID-19: A Case Series. Frontiers in Psychiatry. 12. 754169–754169. 17 indexed citations
15.
Yang, Yuzhe & Zhi Xu. (2020). Rethinking the Value of Labels for Improving Class-Imbalanced Learning. Neural Information Processing Systems. 33. 19290–19301. 9 indexed citations
16.
Guo, Minghao, Yuzhe Yang, Rui Xu, Ziwei Liu, & Dahua Lin. (2020). When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. 628–637. 76 indexed citations
17.
Yang, Yuzhe, Zhiwen Hu, Kaigui Bian, & Lingyang Song. (2019). ImgSensingNet: UAV Vision Guided Aerial-Ground Air Quality Sensing System. 1207–1215. 30 indexed citations
18.
Hu, Zhiwen, et al.. (2019). UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies, and Implementation. IEEE Network. 33(2). 14–22. 86 indexed citations
19.
Yang, Yuzhe, Zijie Zheng, Kaigui Bian, Lingyang Song, & Zhu Han. (2018). Sensor Deployment Recommendation for 3D Fine-Grained Air Quality Monitoring Using Semi-Supervised Learning. 1–6. 11 indexed citations
20.
Liu, Honglin, et al.. (2017). [Effect of particulate air pollution on hospital admissions for acute exacerbation of chronic obstructive pulmonary disease in Beijing].. PubMed. 49(3). 403–408. 3 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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