Mingxin Wu
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
-
- Soft Robotics and Applications 7
- Advanced Sensor and Energy Harvesting Materials 2
-
- Organic Electronics and Photovoltaics 4
- Organic Light-Emitting Diodes Research 4
- Co-authors
- Yifeng Lei (7 shared papers)Longjian Xue (7 shared papers)Yujie Zhang (6 shared papers)Guangming Xie (9 shared papers)Sheng Liu (3 shared papers)Zhaoyang Guo (3 shared papers)He Huang (2 shared papers)Di Tan (5 shared papers)
- Journals
- Advanced Science (2 papers)New Journal of Chemistry (2 papers)IEEE Transactions on Robotics (2 papers)Clinical Neurology and Neurosurgery (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- ChinaUnited KingdomNetherlands
In The Last Decade
Mingxin Wu
24 papers receiving 629 citations
Peers
Comparison fields: 5 of 82
- Pharmaceutical Science 191
- Dermatology 65
- Biomedical Engineering 297
- Molecular Medicine 26
- Condensed Matter Physics 51
Countries citing papers authored by Mingxin Wu
This map shows the geographic impact of Mingxin Wu'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 Mingxin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxin Wu more than expected).
Fields of papers citing papers by Mingxin Wu
This network shows the impact of papers produced by Mingxin Wu. 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 Mingxin Wu. The network helps show where Mingxin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxin Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2022 | 94 | |
| 3 | 2020 | 72 | |
| 4 | 2019 | 69 | |
| 5 | 2022 | 48 | |
| 6 | 2019 | 38 | |
| 7 | 2020 | 35 | |
| 8 | 2024 | 34 | |
| 9 | 2019 | 29 | |
| 10 | 2024 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Mingxin Wu
Mingxin Wu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Molecular Biology and Condensed Matter Physics, having authored 27 papers that have together received 634 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Modular Robots and Swarm Intelligence (5 papers), Organic Electronics and Photovoltaics (4 papers), Organic Light-Emitting Diodes Research (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Micro and Nano Robotics (3 papers), Underwater Vehicles and Communication Systems (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Pharmaceutical Science (191 citations), Dermatology (65 citations), Biomedical Engineering (297 citations), Molecular Medicine (26 citations) and Condensed Matter Physics (51 citations). Mingxin Wu has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Yifeng Lei, Longjian Xue, Yujie Zhang, Guangming Xie, Sheng Liu, Zhaoyang Guo, He Huang, Di Tan, Jingwen Li and Haiyang Liu. Their work appears in journals such as Advanced Science, New Journal of Chemistry, IEEE Transactions on Robotics, Clinical Neurology and Neurosurgery and Biosensors and Bioelectronics.
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.