Beijing Film Academy
In research, Beijing Film Academy stands highest in Social Sciences (#9,586 of 10,521 worldwide), 2022–2025.
- World rank, 2022–2025
- #24,956 of 28,054 · #33,873 all time
- Rank in China
- #3,032 of 3,058
- Research works
- 345 ▲ 278% vs 2013–17
- Citations
- 1.4k 4.1 per fractional work
- Top-10% rate
- 9.5% record average 16.5%
- Open access
- 32% world 28%
What is Beijing Film Academy known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Social SciencesDomain | #9,586 of 10,521 | 10.1% | 67 | #16408 |
Each strip is that field’s whole ranked pool, with the notch where Beijing Film Academy sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Social Sciences, 3.1×. Every wedge is a field page.
- Social Sciences 3.1×
- Computer Science 3.0×
- Arts and Humanities 2.5×
- Psychology 1.8×
- Business, Management and Accounting 1.4×
- Economics, Econometrics and Finance 1.1×
- Neuroscience 1.0×
- Engineering 0.5×
- Environmental Science 0.3×
- Decision Sciences 0.3×
- Health Professions 0.3×
- Medicine 0.2×
- Earth and Planetary Sciences 0.1×
- Physics and Astronomy 0.1×
- Materials Science 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Agricultural and Biological Sciences 0.1×
Which keywords describe research at Beijing Film Academy?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Cultural Identity, Virtual Reality, Nationalism, Artificial Intelligence, Deep Learning, History, Religion and Philosophy.
- Media Representation
- Society
- Politics
- Learning Outcomes
- Stereotypes
- Content Analysis
- Feminism
- Hong Kong Identity
- Democratization
- Social Movements
- Digital Media Technology
- Christianity
- Neural Networks
- China
- Human-Computer Interaction
- Hallyu
- Religion
- Globalization
- Artificial Intelligence
- Cultural Identity
- Deep Learning
- Virtual Reality
- Nationalism
- History
- Philosophy
- Korean Wave
- Multimedia Technology
- Regulation
- Social Media
- Confucianism
- Visual Communication Design
- Gender
- Civic Education
- Colonialism
- Identity
- Gender Roles
- Embodiment
- Social Identity
- Social Interaction
- Advertising
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning13▲ 3.4×33 topics
- Cultural Identity13▲ 22×5 topics
- Virtual Reality11▲ 20×11 topics
- Artificial Intelligence11▲ 6.9×13 topics
- Nationalism10▲ 20×5 topics
- Globalization9▲ 4.1×7 topics
- History9▲ 11×5 topics
- Religion8▲ 16×3 topics
- Philosophy7▲ 15×3 topics
- Hallyu7▲ 218×1 topic
- Korean Wave7▲ 218×1 topic
- Human-Computer Interaction7▲ 36×5 topics
- Multimedia Technology6▲ 88×2 topics
- China6▲ 61×2 topics
- Regulation6▲ 10×5 topics
- Neural Networks6▲ 3.5×18 topics
- Social Media6▲ 3.7×12 topics
- Christianity6▲ 87×1 topic
- Confucianism6▲ 124×1 topic
- Digital Media Technology6▲ 119×1 topic
- Visual Communication Design6▲ 119×1 topic
- Social Movements5▲ 15×2 topics
- Gender5▲ 7.8×7 topics
- Democratization5▲ 63×2 topics
- Civic Education4▲ 160×1 topic
- Hong Kong Identity4▲ 424×1 topic
- Colonialism4▲ 7.2×7 topics
- Feminism4▲ 12×4 topics
- Identity4▲ 4.6×6 topics
- Content Analysis3▲ 24×2 topics
- Gender Roles3▲ 26×2 topics
- Stereotypes3▲ 30×2 topics
- Embodiment3▲ 15×3 topics
- Learning Outcomes3▲ 6.1×2 topics
- Social Identity3▲ 26×2 topics
- Politics3▲ 8.4×3 topics
- Social Interaction3▲ 5.8×2 topics
- Society2▲ 11×2 topics
- Advertising2▲ 52×1 topic
- Media Representation2▲ 57×1 topic
Which research topics does Beijing Film Academy publish most on?
By volume in 2022–2025: Asian Culture and Media Studies, Chinese history and philosophy, Digital Media and Visual Art and Hong Kong and Taiwan Politics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Asian Culture and Media Studies Cultural Studies 7 works
- 2 Chinese history and philosophy Sociology and Political Science 6 works
- 3 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 6 works
- 4 Hong Kong and Taiwan Politics Sociology and Political Science 4 works
- 5 Media, Gender, and Advertising Gender Studies 2 works
- 6 Cinema and Media Studies Economics and Econometrics 2 works
- 7 Vietnamese History and Culture Studies Sociology and Political Science 2 works
- 8 Digital Marketing and Social Media Sociology and Political Science 2 works
- 9 Virtual Reality Applications and Impacts Human-Computer Interaction 2 works
- 10 Gender, Feminism, and Media Gender Studies 1 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Beijing Film Academy's research output changed?
Output in 2018–2022 was 278% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.