Shaochen Wang
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Human-Computer Interaction top 10%
Papers in
-
- Nanoplatforms for cancer theranostics 5
- Co-authors
- Zhen Kan (15 shared papers)Shiyan Yang (2 shared papers)Wei Yang (2 shared papers)Yanlong Wang (1 shared paper)Huanping Zhou (1 shared paper)Huimin Deng (1 shared paper)Hao Yang (1 shared paper)Yuanli Chen (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (2 papers)Materials Chemistry Frontiers (2 papers)Chemical Engineering Journal (2 papers)IEEE Robotics and Automation Letters (2 papers)Robotica (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Shaochen Wang
39 papers receiving 709 citations
Peers
Comparison fields: 5 of 117
- Automotive Engineering 90
- Human-Computer Interaction 37
- Control and Systems Engineering 131
- Electrical and Electronic Engineering 224
- Materials Chemistry 173
Countries citing papers authored by Shaochen Wang
This map shows the geographic impact of Shaochen Wang'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 Shaochen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaochen Wang more than expected).
Fields of papers citing papers by Shaochen Wang
This network shows the impact of papers produced by Shaochen Wang. 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 Shaochen Wang. The network helps show where Shaochen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaochen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2020 | 87 | |
| 3 | 2016 | 80 | |
| 4 | 2017 | 73 | |
| 5 | 2022 | 68 | |
| 6 | 2023 | 57 | |
| 7 | 2022 | 22 | |
| 8 | 2016 | 22 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2024 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Shaochen Wang
Shaochen Wang is a scholar working on Biomedical Engineering, Materials Chemistry, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 48 papers that have together received 721 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Reinforcement Learning in Robotics (5 papers), Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (4 papers), Fault Detection and Control Systems (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Automotive Engineering (90 citations), Human-Computer Interaction (37 citations), Control and Systems Engineering (131 citations), Electrical and Electronic Engineering (224 citations) and Materials Chemistry (173 citations). Shaochen Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Zhen Kan, Shiyan Yang, Wei Yang, Yanlong Wang, Huanping Zhou, Huimin Deng, Hao Yang, Yuanli Chen, Zheng Li and Lingmin Wu. Their work appears in journals such as International Journal of Biological Macromolecules, Materials Chemistry Frontiers, Chemical Engineering Journal, IEEE Robotics and Automation Letters and Robotica.
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.