Linjun Li
Impact in
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- Iron-based superconductors research
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
Papers in
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- Iron-based superconductors research 10
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- 2D Materials and Applications 19
- Co-authors
- Zhu‐An Xu (18 shared papers)Guang‐Han Cao (8 shared papers)Neal Staley (1 shared paper)Jian Chun Wu (1 shared paper)Tao Qian (6 shared papers)Pengcheng Dai (2 shared papers)Yuke Li (5 shared papers)Yuqiang Yang (2 shared papers)
- Journals
- Nature Communications (5 papers)Physical Review B (4 papers)Nano Letters (4 papers)ACS Nano (3 papers)ACS Applied Materials & Interfaces (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Linjun Li
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 52
- Electronic, Optical and Magnetic Materials 526
- Condensed Matter Physics 165
- Materials Chemistry 358
- Electrical and Electronic Engineering 356
- Atomic and Molecular Physics, and Optics 143
Countries citing papers authored by Linjun Li
This map shows the geographic impact of Linjun Li'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 Linjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjun Li more than expected).
Fields of papers citing papers by Linjun Li
This network shows the impact of papers produced by Linjun Li. 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 Linjun Li. The network helps show where Linjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjun Li, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 170 | |
| 2 | 2009 | 166 | |
| 3 | 2017 | 133 | |
| 4 | 2009 | 84 | |
| 5 | 2009 | 65 | |
| 6 | 2008 | 62 | |
| 7 | 2023 | 49 | |
| 8 | 2021 | 43 | |
| 9 | 2024 | 43 | |
| 10 | 2022 | 38 | |
| 11 | 2023 | 37 | |
| 12 | 2009 | 34 | |
| 13 | 2024 | 34 | |
| 14 | 2009 | 30 | |
| 15 | 2024 | 30 | |
| 16 | 2005 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 2019 | 25 | |
| 19 | 2016 | 23 | |
| 20 | 2019 | 21 |
About Linjun Li
Linjun Li is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include 2D Materials and Applications (19 papers), Iron-based superconductors research (10 papers), Perovskite Materials and Applications (5 papers), Physics of Superconductivity and Magnetism (5 papers), Plasmonic and Surface Plasmon Research (5 papers), Advanced Memory and Neural Computing (4 papers), Multimodal Machine Learning Applications (4 papers) and Laser-Matter Interactions and Applications (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (526 citations), Condensed Matter Physics (165 citations), Materials Chemistry (358 citations), Electrical and Electronic Engineering (356 citations) and Atomic and Molecular Physics, and Optics (143 citations). Linjun Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhu‐An Xu, Guang‐Han Cao, Neal Staley, Jian Chun Wu, Tao Qian, Pengcheng Dai, Yuke Li, Yuqiang Yang, Wenlong Yang and Limin Tong. Their work appears in journals such as Nature Communications, Physical Review B, Nano Letters, ACS Nano and ACS Applied Materials & 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.