Junlang Chen
Impact in
- Water Science and Technology top 5%
- Membrane Separation Technologies
- Acoustics and Ultrasonics top 10%
Papers in
-
- Membrane Separation Technologies 13
-
- Nonlinear Waves and Solitons 10
- Co-authors
- Liang Chen (30 shared papers)Xiaogang Wang (21 shared papers)Songwei Zeng (14 shared papers)Chao‐Qing Dai (19 shared papers)Guoquan Zhou (13 shared papers)Fangfang Dai (6 shared papers)Zhikun Wang (7 shared papers)Jing Xu (8 shared papers)
- Journals
- RSC Advances (4 papers)Optics Communications (3 papers)Scientific Reports (3 papers)Journal of Molecular Modeling (3 papers)Applied Surface Science (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Junlang Chen
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Water Science and Technology 255
- Acoustics and Ultrasonics 14
- Biomedical Engineering 315
- Materials Chemistry 288
- Statistical and Nonlinear Physics 75
Countries citing papers authored by Junlang Chen
This map shows the geographic impact of Junlang Chen'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 Junlang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlang Chen more than expected).
Fields of papers citing papers by Junlang Chen
This network shows the impact of papers produced by Junlang Chen. 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 Junlang Chen. The network helps show where Junlang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlang Chen, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2015 | 76 | |
| 3 | 2022 | 53 | |
| 4 | 2020 | 52 | |
| 5 | 2021 | 51 | |
| 6 | 2016 | 48 | |
| 7 | 2021 | 47 | |
| 8 | 2021 | 46 | |
| 9 | 2014 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2014 | 42 | |
| 12 | 2020 | 26 | |
| 13 | 2017 | 24 | |
| 14 | 2025 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2011 | 20 |
About Junlang Chen
Junlang Chen is a scholar working on Water Science and Technology, Statistical and Nonlinear Physics, Biomedical Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Membrane Separation Technologies (13 papers), Graphene and Nanomaterials Applications (11 papers), Nonlinear Waves and Solitons (10 papers), Graphene research and applications (7 papers), Chaos-based Image/Signal Encryption (6 papers), Nanopore and Nanochannel Transport Studies (5 papers), Carbon and Quantum Dots Applications (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Water Science and Technology (255 citations), Acoustics and Ultrasonics (14 citations), Biomedical Engineering (315 citations), Materials Chemistry (288 citations) and Statistical and Nonlinear Physics (75 citations). Junlang Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Liang Chen, Xiaogang Wang, Songwei Zeng, Chao‐Qing Dai, Guoquan Zhou, Fangfang Dai, Zhikun Wang, Jing Xu, Yu Wang and Yu Wang. Their work appears in journals such as RSC Advances, Optics Communications, Scientific Reports, Journal of Molecular Modeling and Applied Surface Science.
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.