Jun Long
Impact in
- Surfaces, Coatings and Films top 2%
- Surface Modification and Superhydrophobicity
- Water Science and Technology top 2%
- Membrane Separation Technologies
Papers in ⓘ
-
- Silicone and Siloxane Chemistry 4
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- Membrane Separation and Gas Transport 4
- Fiber-reinforced polymer composites 4
- Co-authors
- Lu Shao (14 shared papers)Xiaobin Yang (5 shared papers)Feitian Ran (3 shared papers)Songwei Li (4 shared papers)Shanshan He (3 shared papers)Xu Jiang (3 shared papers)Yudong Huang (8 shared papers)Li Liu (5 shared papers)
- Journals
- RSC Advances (3 papers)Journal of Membrane Science (3 papers)Applied Surface Science (2 papers)Journal of Adhesion Science and Technology (2 papers)Composites Science and Technology (2 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Jun Long
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 68
- Surfaces, Coatings and Films 241
- Water Science and Technology 411
- Polymers and Plastics 275
- Mechanical Engineering 558
- Materials Chemistry 654
Countries citing papers authored by Jun Long
This map shows the geographic impact of Jun Long'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 Jun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Long more than expected).
Fields of papers citing papers by Jun Long
This network shows the impact of papers produced by Jun Long. 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 Jun Long. The network helps show where Jun Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Long, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2020 | 125 | |
| 3 | 2014 | 122 | |
| 4 | 2020 | 122 | |
| 5 | 2021 | 115 | |
| 6 | 2021 | 104 | |
| 7 | 2019 | 94 | |
| 8 | 2020 | 81 | |
| 9 | 2015 | 79 | |
| 10 | 2019 | 75 | |
| 11 | 2020 | 66 | |
| 12 | 2014 | 58 | |
| 13 | 2016 | 43 | |
| 14 | 2021 | 40 | |
| 15 | 2021 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2016 | 29 | |
| 18 | 2009 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2016 | 19 |
About Jun Long
Jun Long is a scholar working on Materials Chemistry, Mechanical Engineering, Biomedical Engineering, Water Science and Technology and Surfaces, Coatings and Films, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Membrane Separation Technologies (7 papers), Surface Modification and Superhydrophobicity (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Silicone and Siloxane Chemistry (4 papers), Membrane Separation and Gas Transport (4 papers), Fiber-reinforced polymer composites (4 papers), Conducting polymers and applications (3 papers) and Dielectric materials and actuators (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (241 citations), Water Science and Technology (411 citations), Polymers and Plastics (275 citations), Mechanical Engineering (558 citations) and Materials Chemistry (654 citations). Jun Long has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Lu Shao, Xiaobin Yang, Feitian Ran, Songwei Li, Shanshan He, Xu Jiang, Yudong Huang, Li Liu, Yanqiu Zhang and Xiquan Cheng. Their work appears in journals such as RSC Advances, Journal of Membrane Science, Applied Surface Science, Journal of Adhesion Science and Technology and Composites Science and Technology.
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.