Haifeng Lang
Impact in
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
- Boron and Carbon Nanomaterials Research
- Advanced Thermoelectric Materials and Devices
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- Quantum many-body systems
Papers in
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- Quantum many-body systems 5
- Spectroscopy and Quantum Chemical Studies 4
- Cold Atom Physics and Bose-Einstein Condensates 3
- Quantum and electron transport phenomena 3
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- Quantum Information and Cryptography 7
- Co-authors
- Shuqing Zhang (1 shared paper)Zhirong Liu (1 shared paper)Philipp Hauke (5 shared papers)Jad C. Halimeh (4 shared papers)Zhenzhu Li (1 shared paper)Ting Cheng (1 shared paper)Zhongfan Liu (1 shared paper)Jiang Zhang (1 shared paper)
In The Last Decade
Haifeng Lang
12 papers receiving 522 citations
Peers
Comparison fields: 5 of 33
- Materials Chemistry 350
- Atomic and Molecular Physics, and Optics 176
- Condensed Matter Physics 30
- Renewable Energy, Sustainability and the Environment 41
- Artificial Intelligence 74
Countries citing papers authored by Haifeng Lang
This map shows the geographic impact of Haifeng Lang'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 Haifeng Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haifeng Lang more than expected).
Fields of papers citing papers by Haifeng Lang
This network shows the impact of papers produced by Haifeng Lang. 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 Haifeng Lang. The network helps show where Haifeng Lang may publish in the future.
Co-authors
The 23 scholars most cited alongside Haifeng Lang, 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 | 2016 | 272 | |
| 2 | 2017 | 97 | |
| 3 | 2021 | 61 | |
| 4 | 2022 | 42 | |
| 5 | 2018 | 22 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2021 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2020 | 1 |
About Haifeng Lang
Haifeng Lang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Materials Chemistry, Statistical and Nonlinear Physics and Pharmacy, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum many-body systems (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers), Quantum and electron transport phenomena (3 papers), MXene and MAX Phase Materials (2 papers), Graphene research and applications (2 papers) and 2D Materials and Applications (1 paper). The work is most often cited by research in Materials Chemistry (350 citations), Atomic and Molecular Physics, and Optics (176 citations), Condensed Matter Physics (30 citations), Renewable Energy, Sustainability and the Environment (41 citations) and Artificial Intelligence (74 citations). Haifeng Lang has collaborated with scholars based in Germany, China and Italy. Frequent co-authors include Shuqing Zhang, Zhirong Liu, Philipp Hauke, Jad C. Halimeh, Zhenzhu Li, Ting Cheng, Zhongfan Liu, Jiang Zhang, Yi-Xin Chen and Heng Fan. Their work appears in journals such as Physical review. B., The Journal of Chemical Physics, Physics Letters A, Quantum Information Processing and International Journal of Pharmaceutics.
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.