Beijing Computational Science Research Center
Impact in
- Materials Chemistry top 5%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
-
- Quantum and electron transport phenomena
Papers in
-
- Quantum and electron transport phenomena 401
- Topological Materials and Phenomena 284
- Quantum many-body systems 199
- Mechanical and Optical Resonators 194
-
- Physics of Superconductivity and Magnetism 253
- Top scholars
- Su‐Huai WeiLi-Min LiuMartin StynesHai‐Qing LinMaosheng MiaoYanming MaHugues ChatéWoon‐Ming Lau
- Journals
- Physical review. B. (355 papers)Physical Review A (325 papers)Physical Review Letters (170 papers)Scientific Reports (100 papers)Physical Chemistry Chemical Physics (99 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Beijing Computational Science Research Center
3.9k papers receiving 124.0k citations
Peers
Comparison fields: 5 of 224
- Materials Chemistry 55.6k
- Atomic and Molecular Physics, and Optics 34.3k
- Modeling and Simulation 4.9k
- Renewable Energy, Sustainability and the Environment 17.1k
- Numerical Analysis 5.8k
Countries citing scholars working at Beijing Computational Science Research Center
This map shows the geographic impact of research produced by authors working at Beijing Computational Science Research Center. 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 papers produced at Beijing Computational Science Research Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Computational Science Research Center more than expected).
Fields of papers published by authors at Beijing Computational Science Research Center
This network shows the impact of papers affiliated with Beijing Computational Science Research Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Beijing Computational Science Research Center at the time of their publication.
About Beijing Computational Science Research Center
In recent decades, authors affiliated with Beijing Computational Science Research Center have published 4.1k papers, which have received a total of 127.8k indexed citations . Scholars at this organization have produced 1.5k papers in Atomic and Molecular Physics, and Optics, 555 papers in Condensed Matter Physics, 251 papers in Numerical Analysis, 155 papers in Modeling and Simulation and 1.5k papers in Materials Chemistry on the topics of Quantum and electron transport phenomena (401 papers), Quantum Information and Cryptography (368 papers), Graphene research and applications (352 papers), 2D Materials and Applications (323 papers), Topological Materials and Phenomena (284 papers), Physics of Superconductivity and Magnetism (253 papers), Quantum many-body systems (199 papers) and Mechanical and Optical Resonators (194 papers). Their work is cited by papers focused on Materials Chemistry (55.6k citations), Atomic and Molecular Physics, and Optics (34.3k citations), Modeling and Simulation (4.9k citations), Renewable Energy, Sustainability and the Environment (17.1k citations) and Numerical Analysis (5.8k citations). Authors at Beijing Computational Science Research Center collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Physical review. B., Physical Review A, Physical Review Letters, Scientific Reports and Physical Chemistry Chemical Physics. Some of Beijing Computational Science Research Center's most productive authors include Su‐Huai Wei, Li-Min Liu, Martin Stynes, Hai‐Qing Lin, Maosheng Miao, Yanming Ma, Hugues Chaté, Woon‐Ming Lau, Chaoyang Zhang and Da Wang.
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.