Long Jin
Impact in
- Polymers and Plastics top 0.5%
- Conducting polymers and applications
- Biomedical Engineering top 0.2%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
Papers in
-
- Conducting polymers and applications 22
-
- Advanced Sensor and Energy Harvesting Materials 55
- Dielectric materials and actuators 11
- Co-authors
- Weiqing YangWeili DengHaitao ZhangBinbin ZhangXiang ChuLei ZhangTao YangGuo Tian
- Journals
- Nano Energy (10 papers)ACS Applied Materials & Interfaces (6 papers)Nanoscale (5 papers)Journal of Materials Chemistry A (4 papers)Journal of Alloys and Compounds (3 papers)
- Partner nations
- ChinaUnited StatesSri Lanka
In The Last Decade
Long Jin
87 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Polymers and Plastics 2.5k
- Biomedical Engineering 4.3k
- Electronic, Optical and Magnetic Materials 1.2k
- Cognitive Neuroscience 1.1k
- Mechanical Engineering 1.5k
Countries citing papers authored by Long Jin
This map shows the geographic impact of Long Jin'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 Long Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Jin more than expected).
Fields of papers citing papers by Long Jin
This network shows the impact of papers produced by Long Jin. 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 Long Jin. The network helps show where Long Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Long Jin, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 31 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 33 | |
| 17 | 2023 | 23 | |
| 18 | 2022 | 60 | |
| 19 | 2022 | 24 | |
| 20 | Manipulating Relative Permittivity for High-Performance Wearable Triboelectric Nanogenerators Hit paper breakdown → | 2020 | 287 |
About Long Jin
Long Jin is a scholar working on Polymers and Plastics, Biomedical Engineering, Cognitive Neuroscience, Mechanical Engineering and Geology, having authored 94 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (55 papers), Conducting polymers and applications (22 papers), Tactile and Sensory Interactions (18 papers), Innovative Energy Harvesting Technologies (16 papers), Dielectric materials and actuators (11 papers), Supercapacitor Materials and Fabrication (9 papers), Tribology and Lubrication Engineering (7 papers) and Magnetic Bearings and Levitation Dynamics (6 papers). The work is most often cited by research in Polymers and Plastics (2.5k citations), Biomedical Engineering (4.3k citations), Electronic, Optical and Magnetic Materials (1.2k citations), Cognitive Neuroscience (1.1k citations) and Mechanical Engineering (1.5k citations). Long Jin has collaborated with scholars based in China, United States and Sri Lanka. Frequent co-authors include Weiqing Yang, Weili Deng, Haitao Zhang, Binbin Zhang, Xiang Chu, Lei Zhang, Tao Yang, Guo Tian, Jun Chen and Cheng Yan. Their work appears in journals such as Nano Energy, ACS Applied Materials & Interfaces, Nanoscale, Journal of Materials Chemistry A and Journal of Alloys and Compounds.
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.