Ming Ren
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
Papers in
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- Advanced Sensor and Energy Harvesting Materials 23
- Dielectric materials and actuators 12
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- Advanced Materials and Mechanics 18
- Co-authors
- Wei Chen (5 shared papers)Jiangtao Di (22 shared papers)Ying Yang (2 shared papers)Jidong Shi (1 shared paper)Su Liu (1 shared paper)Jiewei Chen (1 shared paper)Lin Shu (1 shared paper)Yang Chai (1 shared paper)
In The Last Decade
Ming Ren
29 papers receiving 1.4k citations
Ming Ren's Hit Papers
Peers
Comparison fields: 5 of 94
- Polymers and Plastics 388
- Biomedical Engineering 1.0k
- Mechanical Engineering 473
- Electronic, Optical and Magnetic Materials 209
- Human-Computer Interaction 49
Countries citing papers authored by Ming Ren
This map shows the geographic impact of Ming Ren'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 Ming Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ren more than expected).
Fields of papers citing papers by Ming Ren
This network shows the impact of papers produced by Ming Ren. 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 Ming Ren. The network helps show where Ming Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ren, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Smart Textile‐Integrated Microelectronic Systems for Wearable Applications Hit paper breakdown → | 2019 | 664 |
| 2 | Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles Hit paper breakdown → | 2024 | 108 |
| 3 | 2023 | 68 | |
| 4 | 2022 | 67 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 54 | |
| 7 | 2021 | 51 | |
| 8 | 2020 | 51 | |
| 9 | 2022 | 41 | |
| 10 | 2022 | 32 | |
| 11 | 2023 | 31 | |
| 12 | 2022 | 31 | |
| 13 | 2021 | 24 | |
| 14 | 2024 | 20 | |
| 15 | 2024 | 17 | |
| 16 | 2001 | 17 | |
| 17 | 2024 | 15 | |
| 18 | 2024 | 14 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 9 |
About Ming Ren
Ming Ren is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (23 papers), Advanced Materials and Mechanics (18 papers), Dielectric materials and actuators (12 papers), Supercapacitor Materials and Fabrication (5 papers), Conducting polymers and applications (4 papers), Silk-based biomaterials and applications (2 papers), Advanced MEMS and NEMS Technologies (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Polymers and Plastics (388 citations), Biomedical Engineering (1.0k citations), Mechanical Engineering (473 citations), Electronic, Optical and Magnetic Materials (209 citations) and Human-Computer Interaction (49 citations). Ming Ren has collaborated with scholars based in China, Hong Kong and Poland. Frequent co-authors include Wei Chen, Jiangtao Di, Ying Yang, Jidong Shi, Su Liu, Jiewei Chen, Lin Shu, Yang Chai, Xiaoming Tao and Yang Wang. Their work appears in journals such as Materials Horizons, ACS Nano, Small, Nature Communications and Rare Metals.
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.