Yichen Shen
Impact in
- Acoustics and Ultrasonics top 5%
-
- Metamaterials and Metasurfaces Applications
Papers in
-
- Neural Networks and Applications 2
- Neural Networks and Reservoir Computing 2
- Adversarial Robustness in Machine Learning 1
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- Radio Wave Propagation Studies 2
- Co-authors
- Li Jing (5 shared papers)Er‐Ping Li (3 shared papers)Chao Qian (3 shared papers)Hongsheng Chen (3 shared papers)Bin Zheng (3 shared papers)Lian Shen (1 shared paper)Marin Soljačić (3 shared papers)Min Qiu (1 shared paper)
- Journals
- Nature Communications (1 paper)Lara D. Veeken (1 paper)Medicine (1 paper)ACS Photonics (1 paper)Annals of Emergency Medicine (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yichen Shen
17 papers receiving 847 citations
Yichen Shen's Hit Papers
Peers
Comparison fields: 5 of 90
- Acoustics and Ultrasonics 32
- Electronic, Optical and Magnetic Materials 487
- Aerospace Engineering 334
- Developmental Biology 28
- Artificial Intelligence 172
Countries citing papers authored by Yichen Shen
This map shows the geographic impact of Yichen Shen'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 Yichen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Shen more than expected).
Fields of papers citing papers by Yichen Shen
This network shows the impact of papers produced by Yichen Shen. 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 Yichen Shen. The network helps show where Yichen Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep-learning-enabled self-adaptive microwave cloak without human intervention Hit paper breakdown → | 2020 | 453 |
| 2 | 2019 | 101 | |
| 3 | 2022 | 96 | |
| 4 | 2019 | 57 | |
| 5 | 2018 | 38 | |
| 6 | 2010 | 34 | |
| 7 | 2021 | 33 | |
| 8 | 2018 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 1995 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision | 2020 | 1 |
| 16 | 2017 | 1 | |
| 17 | 2021 | 1 |
About Yichen Shen
Yichen Shen is a scholar working on Artificial Intelligence, Aerospace Engineering, Surgery, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 17 papers that have together received 879 indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (2 papers), Neural Networks and Applications (2 papers), Neural Networks and Reservoir Computing (2 papers), Radio Wave Propagation Studies (2 papers), Insect Utilization and Effects (1 paper), Adversarial Robustness in Machine Learning (1 paper), Polymer crystallization and properties (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (32 citations), Electronic, Optical and Magnetic Materials (487 citations), Aerospace Engineering (334 citations), Developmental Biology (28 citations) and Artificial Intelligence (172 citations). Yichen Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Li Jing, Er‐Ping Li, Chao Qian, Hongsheng Chen, Bin Zheng, Lian Shen, Marin Soljačić, Min Qiu, Yurui Qu and Zhedong Wang. Their work appears in journals such as Nature Communications, Lara D. Veeken, Medicine, ACS Photonics and Annals of Emergency Medicine.
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.