Qingshen Jing
- Biomedical Engineering top 0.02%
- Polymers and Plastics top 0.05%
- Mechanical Engineering top 0.2%
- Cognitive Neuroscience top 0.5%
- Electronic, Optical and Magnetic Materials top 0.5%
- Topics
- Advanced Sensor and Energy Harvesting Materials (54 papers)Conducting polymers and applications (37 papers)Innovative Energy Harvesting Technologies (22 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qingshen Jing
69 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Biomedical Engineering 13.4k
- Polymers and Plastics 9.7k
- Mechanical Engineering 4.4k
- Cognitive Neuroscience 3.4k
- Electronic, Optical and Magnetic Materials 2.9k
Countries citing papers authored by Qingshen Jing
This map shows the geographic impact of Qingshen Jing'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 Qingshen Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingshen Jing more than expected).
Fields of papers citing papers by Qingshen Jing
This network shows the impact of papers produced by Qingshen Jing. 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 Qingshen Jing. The network helps show where Qingshen Jing may publish in the future.
Co-authorship network of co-authors of Qingshen Jing
This figure shows the co-authorship network connecting the top 25 collaborators of Qingshen Jing. A scholar is included among the top collaborators of Qingshen Jing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingshen Jing. Qingshen Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 7 | |
| 6 | 97 | |
| 7 | 122 | |
| 8 | 24 | |
| 9 | 31 | |
| 10 | 14 | |
| 11 | 24 | |
| 12 | 48 | |
| 13 | 48 | |
| 14 | Eardrum‐Inspired Active Sensors for Self‐Powered Cardiovascular System Characterization and Throat‐Attached Anti‐Interference Voice Recognitionbreakdown → | 526 |
| 15 | 125 | |
| 16 | Radial-arrayed rotary electrification for high performance triboelectric generatorbreakdown → | 761 |
| 17 | 124 | |
| 18 | Toward Large-Scale Energy Harvesting by a Nanoparticle-Enhanced Triboelectric Nanogeneratorbreakdown → | 1000 |
| 19 | Single-Electrode-Based Sliding Triboelectric Nanogenerator for Self-Powered Displacement Vector Sensor Systembreakdown → | 539 |
| 20 | ATM Rate Based Traffic Control with Bode Principle | 2 |
About Qingshen Jing
Qingshen Jing is a scholar working on Polymers and Plastics, Biomedical Engineering and Mechanical Engineering, having authored 70 papers that have together received 14.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (54 papers), Conducting polymers and applications (37 papers) and Innovative Energy Harvesting Technologies (22 papers). The work is most often cited by research in Polymers and Plastics (9.7k citations), Biomedical Engineering (13.4k citations) and Cognitive Neuroscience (3.4k citations). Qingshen Jing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhong Lin Wang, Guang Zhu, Jun Chen, Peng Bai, Yusheng Zhou, Jin Yang, Weiqing Yang, Ya Yang, Yuanjie Su and Simiao Niu. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Materials.
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.