Chenhong Lang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
- Acoustic Wave Phenomena Research
Papers in
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- Advanced Sensor and Energy Harvesting Materials 11
- Acoustic Wave Phenomena Research 2
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- Conducting polymers and applications 3
- Natural Fiber Reinforced Composites 2
- Co-authors
- Tong Lin (8 shared papers)Jian Fang (8 shared papers)Hao Shao (6 shared papers)Xin Ding (3 shared papers)Hongxia Wang (5 shared papers)Wenyu Wang (3 shared papers)Guilong Yan (2 shared papers)Yuying Cao (2 shared papers)
In The Last Decade
Chenhong Lang
20 papers receiving 698 citations
Chenhong Lang's Hit Papers
Peers
Comparison fields: 5 of 63
- Polymers and Plastics 298
- Biomedical Engineering 568
- Cognitive Neuroscience 159
- Biomaterials 84
- Mechanical Engineering 175
Countries citing papers authored by Chenhong Lang
This map shows the geographic impact of Chenhong Lang'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 Chenhong Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhong Lang more than expected).
Fields of papers citing papers by Chenhong Lang
This network shows the impact of papers produced by Chenhong Lang. 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 Chenhong Lang. The network helps show where Chenhong Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhong Lang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-sensitivity acoustic sensors from nanofibre webs Hit paper breakdown → | 2016 | 334 |
| 2 | 2020 | 87 | |
| 3 | 2017 | 74 | |
| 4 | 1999 | 34 | |
| 5 | 2021 | 26 | |
| 6 | 2024 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 1994 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 1996 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2021 | 2 |
About Chenhong Lang
Chenhong Lang is a scholar working on Biomedical Engineering, Polymers and Plastics, Electrical and Electronic Engineering, Mechanical Engineering and Cognitive Neuroscience, having authored 21 papers that have together received 704 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Innovative Energy Harvesting Technologies (5 papers), Tactile and Sensory Interactions (4 papers), Conducting polymers and applications (3 papers), Optical measurement and interference techniques (2 papers), Natural Fiber Reinforced Composites (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Acoustic Wave Phenomena Research (2 papers). The work is most often cited by research in Polymers and Plastics (298 citations), Biomedical Engineering (568 citations), Cognitive Neuroscience (159 citations), Biomaterials (84 citations) and Mechanical Engineering (175 citations). Chenhong Lang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Tong Lin, Jian Fang, Hao Shao, Xin Ding, Hongxia Wang, Wenyu Wang, Guilong Yan, Yuying Cao, Haitao Niu and Yiping Qiu. Their work appears in journals such as Nano Energy, Textile Research Journal, ACS Applied Materials & Interfaces, Nature Communications and Applied Physics 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.