Yuzhe Yang

28 papers receiving 1.1k citations

Yuzhe Yang's Hit Papers

The limits of fair medical imaging AI in real-world generalization 2024 · 95 citations
950+1+2Years since publication50100150

Peers

Yuzhe Yang
Comparison fields: 5 of 140
  • Health Informatics 68
  • Environmental Engineering 175
  • Computer Vision and Pattern Recognition 212
  • Artificial Intelligence 270
  • Health, Toxicology and Mutagenesis 95
Replace Lal Hussain with:
Lal Hussain Pakistan
Gözde Ünal Türkiye
Alireza Tavakkoli United States
Miguel Guevara Portugal
Taesup Moon South Korea
Eros Pasero Italy
Mingliang Wang China
Qinghua Zhou China
Martin Längkvist Sweden
Antonio Brunetti Italy
Yuzhe Yang relative to Lal Hussain Pakistan Lal Hussain's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Yuzhe Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuzhe Yang Line = papers co-authored together Yuzhe Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
Hit paper breakdown →
2022170
2 2017137
3 2022113
4
The limits of fair medical imaging AI in real-world generalization
Hit paper breakdown →
202495
5 201989
6 202082
7 202077
8 202267
9 202255
10 202446
11 201930
12 201728
13 201823
14 202222
15 202221
16 202117
17 202515
18 201811
19 202411
20 201810

About Yuzhe Yang

Yuzhe Yang is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Artificial Intelligence, Global and Planetary Change and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (6 papers), Air Quality and Health Impacts (5 papers), Impact of Light on Environment and Health (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Geological formations and processes (2 papers), Geology and Paleoclimatology Research (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Health Informatics (68 citations), Environmental Engineering (175 citations), Computer Vision and Pattern Recognition (212 citations), Artificial Intelligence (270 citations) and Health, Toxicology and Mutagenesis (95 citations). Yuzhe Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dina Katabi, Lingyang Song, Kaigui Bian, Zijie Zheng, Zhu Han, Zhiwen Hu, Haoran Zhang, Judy Wawira Gichoya, Marzyeh Ghassemi and Yingcheng Liu. Their work appears in journals such as Nature Medicine, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Sensors Journal, ACS Sustainable Chemistry & Engineering and Science Advances.

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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