Beijing Institute of Big Data Research (BIBDR)
北京大数据研究院
China
1 December 2017 - 30 November 2018
Region: Global
Subject/journal group: All
The table to the right includes counts of all research outputs for Beijing Institute of Big Data Research (BIBDR) published between 1 December 2017 - 30 November 2018 which are tracked by the Nature Index.
Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.
Research collaboration: Beijing Institute of Big Data Research (BIBDR) is a research collaboration whose article contributions are accrued to its participating partner institutions.
Note: Articles may be assigned to more than one subject area.
| AC | FC |
|---|---|
| 2 | 0.16 |
Outputs by subject (FC)
| Subject | AC | FC | |
|---|---|---|---|
| Physical Sciences | 2 | 0.16 | |
Top articles by Altmetric score in current window
Solving high-dimensional partial differential equations using deep learning.
Proceedings of the National Academy of Sciences of the United States of America
2018-08-06
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics
Physical Review Letters
2018-04-04
1 December 2017 - 30 November 2018
International vs. domestic collaboration by FC
- 11.84% Domestic
- 88.16% International
Note: Hover over the graph to view the percentage of collaboration.
Top 10 domestic collaborators by FC (1 total)
- Beijing Institute of Big Data Research (BIBDR), China
- Domestic institution
Top 10 international collaborators by FC (2 total)
- Beijing Institute of Big Data Research (BIBDR), China
- Foreign institution
Note: Collaboration is determined by the fractional count (FC), which is listed in parentheses.
Participating institutions
Beijing Institute of Big Data Research (BIBDR) is a research collaboration whose article contributions are accrued to its participating partner institutions below.
Numerical information only is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
