Bing Lv
- Condensed Matter Physics top 0.5%
- Rare-earth and actinide compounds 35
- Physics of Superconductivity and Magnetism 34
- Superconductivity in MgB2 and Alloys 12
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- Iron-based superconductors research 72
- Accounting top 1%
- Corporate Taxation and Avoidance 19
- Materials Chemistry top 5%
- 2D Materials and Applications 16
- Strategy and Management top 5%
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- Inorganic Chemistry and Materials 12
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- Topological Materials and Phenomena 10
- Co-authors
- C. W. ChuArnold M. GuloyBernd LorenzKalyan SasmalJoshua TappFeng ChenZhongjia TangSheng Li
- Journals
- Physical Review B (25 papers)Physical review. B. (15 papers)Applied Physics Letters (7 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Bing Lv
117 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Condensed Matter Physics 1.8k
- Electronic, Optical and Magnetic Materials 2.5k
- Accounting 718
- Materials Chemistry 1.3k
- Strategy and Management 307
Countries citing papers authored by Bing Lv
This map shows the geographic impact of Bing Lv'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 Bing Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Lv more than expected).
Fields of papers citing papers by Bing Lv
This network shows the impact of papers produced by Bing Lv. 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 Bing Lv. The network helps show where Bing Lv may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Lv, 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 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 4 | |
| 20 | Superconducting Fe-Based Compounds (A$_{1-x}$Sr$_{x })$Fe$_{2}$As$_{2}$ with A = K and Cs with Transition Temperatures up to 37 K | 2009 | 5 |
About Bing Lv
Bing Lv is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Accounting, Inorganic Chemistry and Materials Chemistry, having authored 126 papers that have together received 3.7k indexed citations. Recurring topics across this work include Iron-based superconductors research (72 papers), Rare-earth and actinide compounds (35 papers), Physics of Superconductivity and Magnetism (34 papers), Corporate Taxation and Avoidance (19 papers), 2D Materials and Applications (16 papers), Superconductivity in MgB2 and Alloys (12 papers), Inorganic Chemistry and Materials (12 papers) and Topological Materials and Phenomena (10 papers). The work is most often cited by research in Condensed Matter Physics (1.8k citations), Electronic, Optical and Magnetic Materials (2.5k citations), Accounting (718 citations), Materials Chemistry (1.3k citations) and Strategy and Management (307 citations). Bing Lv has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include C. W. Chu, Arnold M. Guloy, Bernd Lorenz, Kalyan Sasmal, Joshua Tapp, Feng Chen, Zhongjia Tang, Sheng Li, Liangzi Deng and Xiaoyuan Liu. Their work appears in journals such as Physical Review B, Physical review. B., Applied Physics Letters, Inorganic Chemistry and Superconductor 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.