Long Lin
Impact in
- Biomedical Engineering top 0.01%
- Advanced Sensor and Energy Harvesting Materials
- Materials Chemistry top 1%
- 2D Materials and Applications
- ZnO doping and properties
- Ferroelectric and Piezoelectric Materials
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 79
-
- Advanced Neural Network Applications 2
- Co-authors
- Zhong Lin Wang (86 shared papers)Sihong Wang (31 shared papers)Simiao Niu (41 shared papers)Yusheng Zhou (14 shared papers)Youfan Hu (14 shared papers)Yannan Xie (12 shared papers)Jun Chen (22 shared papers)Wenzhuo Wu (7 shared papers)
- Journals
- ACS Nano (15 papers)Advanced Materials (12 papers)Nano Energy (9 papers)Advanced Functional Materials (8 papers)Nano Letters (7 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Long Lin
89 papers receiving 25.5k citations
Long Lin's Hit Papers
Peers
Comparison fields: 5 of 79
- Biomedical Engineering 19.6k
- Materials Chemistry 1.5k
- Mechanical Engineering 935
- Polymers and Plastics 232
- Electronic, Optical and Magnetic Materials 232
Countries citing papers authored by Long Lin
This map shows the geographic impact of Long Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Lin more than expected).
Fields of papers citing papers by Long Lin
This network shows the impact of papers produced by Long Lin. 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 Lin. The network helps show where Long Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Lin, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Piezoelectricity of single-atomic-layer MoS2 for energy conversion and piezotronics Hit paper breakdown → | 2014 | 2045 |
| 2 | Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors Hit paper breakdown → | 2015 | 1957 |
| 3 | Transparent Triboelectric Nanogenerators and Self-Powered Pressure Sensors Based on Micropatterned Plastic Films Hit paper breakdown → | 2012 | 1820 |
| 4 | Theoretical study of contact-mode triboelectric nanogenerators as an effective power source Hit paper breakdown → | 2013 | 1747 |
| 5 | Nanoscale Triboelectric-Effect-Enabled Energy Conversion for Sustainably Powering Portable Electronics Hit paper breakdown → | 2012 | 1200 |
| 6 | Freestanding Triboelectric‐Layer‐Based Nanogenerators for Harvesting Energy from a Moving Object or Human Motion in Contact and Non‐contact Modes Hit paper breakdown → | 2014 | 887 |
| 7 | Triboelectric nanogenerators as self-powered active sensors Hit paper breakdown → | 2014 | 831 |
| 8 | Theory of Sliding‐Mode Triboelectric Nanogenerators Hit paper breakdown → | 2013 | 732 |
| 9 | Pyroelectric Nanogenerators for Harvesting Thermoelectric Energy Hit paper breakdown → | 2012 | 715 |
| 10 | Sliding-Triboelectric Nanogenerators Based on In-Plane Charge-Separation Mechanism Hit paper breakdown → | 2013 | 711 |
| 11 | Theoretical Investigation and Structural Optimization of Single‐Electrode Triboelectric Nanogenerators Hit paper breakdown → | 2014 | 653 |
| 12 | Maximum Surface Charge Density for Triboelectric Nanogenerators Achieved by Ionized‐Air Injection: Methodology and Theoretical Understanding Hit paper breakdown → | 2014 | 606 |
| 13 | Triboelectric Active Sensor Array for Self-Powered Static and Dynamic Pressure Detection and Tactile Imaging Hit paper breakdown → | 2013 | 554 |
| 14 | Water–Solid Surface Contact Electrification and its Use for Harvesting Liquid‐Wave Energy Hit paper breakdown → | 2013 | 529 |
| 15 | Theory of freestanding triboelectric-layer-based nanogenerators Hit paper breakdown → | 2015 | 516 |
| 16 | Grating‐Structured Freestanding Triboelectric‐Layer Nanogenerator for Harvesting Mechanical Energy at 85% Total Conversion Efficiency Hit paper breakdown → | 2014 | 495 |
| 17 | Segmentally Structured Disk Triboelectric Nanogenerator for Harvesting Rotational Mechanical Energy Hit paper breakdown → | 2013 | 458 |
| 18 | Triboelectric–Pyroelectric–Piezoelectric Hybrid Cell for High‐Efficiency Energy‐Harvesting and Self‐Powered Sensing Hit paper breakdown → | 2015 | 444 |
| 19 | 2011 | 382 | |
| 20 | 2013 | 370 |
About Long Lin
Long Lin is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Polymers and Plastics, Condensed Matter Physics and Electrical and Electronic Engineering, having authored 90 papers that have together received 25.9k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (79 papers), Advanced Neural Network Applications (2 papers), Advanced Memory and Neural Computing (1 paper), Gas Sensing Nanomaterials and Sensors (1 paper), Perovskite Materials and Applications (1 paper), ZnO doping and properties (1 paper), Transition Metal Oxide Nanomaterials (1 paper) and GaN-based semiconductor devices and materials (1 paper). The work is most often cited by research in Biomedical Engineering (19.6k citations), Materials Chemistry (1.5k citations), Mechanical Engineering (935 citations), Polymers and Plastics (232 citations) and Electronic, Optical and Magnetic Materials (232 citations). Long Lin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Zhong Lin Wang, Sihong Wang, Simiao Niu, Yusheng Zhou, Youfan Hu, Yannan Xie, Jun Chen, Wenzhuo Wu, Ying Liu and Guang Zhu. Their work appears in journals such as ACS Nano, Advanced Materials, Nano Energy, Advanced Functional Materials and Nano Letters.
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.