Yu Sun
Impact in
- Pharmacy top 2%
- Infant Health and Development
-
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
- Pharmacy 12
- Infant Health and Development 12
-
- Hand Gesture Recognition Systems 8
- Co-authors
- Yun LinDmitry B. GoldgofGhada ZamzmiRangachar KasturiYongqiang HuangTerri AshmeadeXiaoning QianRichard D. Gitlin
- Journals
- IEEE Robotics and Automation Letters (5 papers)The International Journal of Robotics Research (4 papers)IEEE Transactions on Biomedical Engineering (4 papers)Robotics and Autonomous Systems (3 papers)Big Data (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yu Sun
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Pharmacy 112
- Control and Systems Engineering 510
- Human-Computer Interaction 119
- Health Informatics 26
- Computer Vision and Pattern Recognition 323
Countries citing papers authored by Yu Sun
This map shows the geographic impact of Yu Sun'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 Yu Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sun more than expected).
Fields of papers citing papers by Yu Sun
This network shows the impact of papers produced by Yu Sun. 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 Yu Sun. The network helps show where Yu Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Sun, 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 | 2025 | 0 | |
| 2 | 2024 | 17 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 25 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 51 | |
| 13 | 2020 | 51 | |
| 14 | 2019 | 33 | |
| 15 | 2019 | 14 | |
| 16 | Functional Object-Oriented Network: Considering Robot's Capability in Human-Robot Collaboration. | 2019 | 2 |
| 17 | A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics. | 2018 | 4 |
| 18 | 2017 | 72 | |
| 19 | 2016 | 27 | |
| 20 | 2014 | 15 |
About Yu Sun
Yu Sun is a scholar working on Pharmacy, Human-Computer Interaction, Control and Systems Engineering, Computer Vision and Pattern Recognition and Pediatrics, Perinatology and Child Health, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (33 papers), Pediatric Pain Management Techniques (14 papers), Infant Health and Development (12 papers), Muscle activation and electromyography studies (9 papers), Robotics and Sensor-Based Localization (8 papers), Hand Gesture Recognition Systems (8 papers), Robotics and Automated Systems (6 papers) and Neonatal and fetal brain pathology (6 papers). The work is most often cited by research in Pharmacy (112 citations), Control and Systems Engineering (510 citations), Human-Computer Interaction (119 citations), Health Informatics (26 citations) and Computer Vision and Pattern Recognition (323 citations). Yu Sun has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yun Lin, Dmitry B. Goldgof, Ghada Zamzmi, Rangachar Kasturi, Yongqiang Huang, Terri Ashmeade, Xiaoning Qian, Richard D. Gitlin, Joe Falco and Ruicong Zhi. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, IEEE Transactions on Biomedical Engineering, Robotics and Autonomous Systems and Big Data.
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.