Le Lang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
Papers in
-
- Conducting polymers and applications 7
-
- Advanced Polymer Synthesis and Characterization 3
- Co-authors
- Xuesi Chen (8 shared papers)Jun Hu (7 shared papers)Xiabin Jing (7 shared papers)Lihong Huang (7 shared papers)Peibiao Zhang (3 shared papers)Yen Wei (7 shared papers)Xiuli Zhuang (6 shared papers)Yu Wang (1 shared paper)
- Journals
- Biomacromolecules (2 papers)Macromolecular Rapid Communications (2 papers)Biomaterials (1 paper)Journal of Polymer Science Part A Polymer Chemistry (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Le Lang
11 papers receiving 574 citations
Peers
Comparison fields: 5 of 57
- Polymers and Plastics 418
- Biomaterials 210
- Molecular Medicine 42
- Bioengineering 48
- Biomedical Engineering 360
Countries citing papers authored by Le Lang
This map shows the geographic impact of Le 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 Le Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Lang more than expected).
Fields of papers citing papers by Le Lang
This network shows the impact of papers produced by Le 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 Le Lang. The network helps show where Le Lang may publish in the future.
Co-authors
The 20 scholars most cited alongside Le 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 253 | |
| 2 | 2008 | 250 | |
| 3 | 2008 | 74 | |
| 4 | 2007 | 34 | |
| 5 | 2008 | 20 | |
| 6 | 2008 | 13 | |
| 7 | 2009 | 12 | |
| 8 | 2024 | 6 | |
| 9 | 2010 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2018 | 1 | |
| 12 | 2014 | 0 |
About Le Lang
Le Lang is a scholar working on Polymers and Plastics, Organic Chemistry, Bioengineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 12 papers that have together received 672 indexed citations. Recurring topics across this work include Conducting polymers and applications (7 papers), Analytical Chemistry and Sensors (3 papers), Advanced Polymer Synthesis and Characterization (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Advanced Battery Materials and Technologies (1 paper), Organic Electronics and Photovoltaics (1 paper), Botany, Ecology, and Taxonomy Studies (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Polymers and Plastics (418 citations), Biomaterials (210 citations), Molecular Medicine (42 citations), Bioengineering (48 citations) and Biomedical Engineering (360 citations). Le Lang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xuesi Chen, Jun Hu, Xiabin Jing, Lihong Huang, Peibiao Zhang, Yen Wei, Xiuli Zhuang, Yu Wang, Xianhong Wang and Peter I. Lelkes. Their work appears in journals such as Biomacromolecules, Macromolecular Rapid Communications, Biomaterials, Journal of Polymer Science Part A Polymer Chemistry and The Science of The Total Environment.
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.