Long Lin
Impact in
- Bioengineering top 2%
- Analytical Chemistry and Sensors
- Materials Chemistry top 10%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- ZnO doping and properties
Papers in
-
- 2D Materials and Applications 20
- MXene and MAX Phase Materials 13
- Advanced Thermoelectric Materials and Devices 11
- Catalytic Processes in Materials Science 6
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- Gas Sensing Nanomaterials and Sensors 18
- Co-authors
- Hualong Tao (9 shared papers)Chencheng Hu (8 shared papers)Guang Sun (3 shared papers)Jianliang Cao (3 shared papers)Hari Bala (3 shared papers)Zhanying Zhang (8 shared papers)Yanwei Li (2 shared papers)Pei Shi (9 shared papers)
In The Last Decade
Long Lin
43 papers receiving 726 citations
Peers
Comparison fields: 5 of 45
- Bioengineering 149
- Materials Chemistry 418
- Electrical and Electronic Engineering 517
- Renewable Energy, Sustainability and the Environment 103
- Biomedical Engineering 176
Countries citing papers authored by Long Lin
This map shows the geographic impact of Long Lin'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 Long Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Lin more than expected).
Fields of papers citing papers by Long Lin
This network shows the impact of papers produced by Long Lin. 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 Long Lin. The network helps show where Long Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Lin, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 170 | |
| 2 | 2018 | 44 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 37 | |
| 5 | 2023 | 29 | |
| 6 | 2023 | 29 | |
| 7 | 2024 | 27 | |
| 8 | 2024 | 26 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2024 | 20 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2024 | 12 | |
| 20 | 2023 | 12 |
About Long Lin
Long Lin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Applied Mathematics and Algebra and Number Theory, having authored 46 papers that have together received 736 indexed citations. Recurring topics across this work include 2D Materials and Applications (20 papers), Gas Sensing Nanomaterials and Sensors (18 papers), MXene and MAX Phase Materials (13 papers), Advanced Thermoelectric Materials and Devices (11 papers), Electrocatalysts for Energy Conversion (9 papers), Catalytic Processes in Materials Science (6 papers), Advanced Mathematical Identities (5 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Bioengineering (149 citations), Materials Chemistry (418 citations), Electrical and Electronic Engineering (517 citations), Renewable Energy, Sustainability and the Environment (103 citations) and Biomedical Engineering (176 citations). Long Lin has collaborated with scholars based in China, Germany and Romania. Frequent co-authors include Hualong Tao, Chencheng Hu, Guang Sun, Jianliang Cao, Hari Bala, Zhanying Zhang, Yanwei Li, Pei Shi, Yan Wang and Na Luo. Their work appears in journals such as Langmuir, Physical Chemistry Chemical Physics, FlatChem, Colloids and Surfaces A Physicochemical and Engineering Aspects and Surfaces and Interfaces.
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.