Topic Modeling
Topic Modeling is a research topic within Artificial Intelligence. Science Explorer counts 73k research works in it since 1956. 27.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of advancements in natural language processing, including neural network architectures, word representation models, machine translation techniques, text classification algorithms, semantic similarity measures, named entity recognition methods, pretrained language models, sequence-to-sequence learning approaches, topic modeling strategies, and information retrieval systems.
- Neural Networks
- Word Representation
- Machine Translation
- Text Classification
- Semantic Similarity
- Named Entity Recognition
- Pretrained Models
- Sequence-to-Sequence Learning
- Topic Modeling
- Information Retrieval
- Research works
- 73k fractional, since 1956
- In the world top 10%
- 20k per year above
- Top-10% rate
- 27.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +103% the tick is no change
Which countries lead Topic Modeling research?
By volume, China and the United States publish the most (8.4k and 4.2k works in 2022–2025).
By volume, 2022–2025
- 1 China 8.4k works
- 2 United States 4.2k works
- 3 India 2.2k works
- 4 Germany 933 works
- 5 United Kingdom 862 works
- 6 Japan 731 works
- 7 South Korea 543 works
- 8 Canada 533 works
- 9 Italy 459 works
- 10 France 455 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Topic Modeling research?
By volume in 2022–2025, Tsinghua University publishes the most Topic Modeling research, followed by Beijing University of Posts and Telecommunications and Peking University.
By volume, 2022–2025
- 1 Tsinghua University China 184 works
- 2 Beijing University of Posts and Telecommunications China 163 works
- 3 Peking University China 153 works
- 4 National University of Defense Technology China 151 works
- 5 Harbin Institute of Technology China 145 works
- 6 Shanghai Jiao Tong University China 137 works
- 7 Chinese Academy of Sciences China 135 works
- 8 University of Chinese Academy of Sciences China 125 works
- 9 University of Science and Technology of China China 125 works
- 10 University of Electronic Science and Technology of China China 121 works
Who are the leading researchers in Topic Modeling?
The most-cited researchers publishing on Topic Modeling include Geoffrey E. Hinton, Ilya Sutskever and Yoshua Bengio.
- 1 Geoffrey E. Hinton 22k citations
- 2 Ilya Sutskever 21k citations
- 3 Yoshua Bengio 17k citations
- 4 Wei Liu 9.7k citations
- 5 Wei Liu 9.7k citations
- 6 Ion Stoica 9.6k citations
- 7 Zhiheng Huang 9k citations
- 8 Quoc V. Le 8.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Topic Modeling research done?
The largest centres of Topic Modeling research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Redmond, San Mateo and Nomi Shi.
Largest cities, 2022–2025
Where it is the local speciality
- RedmondUS · 50.0 works21×
- San MateoUS · 25.0 works18×
- Nomi ShiJP · 26.7 works15×
Location quotient: how much more of its research is in Topic Modeling than the world average.
Where is the best place to study Topic Modeling?
Among universities, judged by research, Renmin University of China, Singapore Management University and Carnegie Mellon University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Renmin University of China China | 76.2 | 34.5% | 10.3× | 84 | +249.5% |
| 2 | Singapore Management University Singapore | 74.7 | 41.3% | 16.1× | 43 | +120.8% |
| 3 | Carnegie Mellon University United States | 70.6 | 35.0% | 11.4× | 115 | +49.9% |
| 4 | Nanyang Technological University Singapore | 70.6 | 45.3% | 4.4× | 89 | +147.5% |
| 5 | Beijing University of Posts and Telecommunications China | 68.4 | 14.9% | 10.6× | 163 | +302.7% |
| 6 | Singapore University of Technology and Design Singapore | 68.2 | 31.8% | 9.4× | 22 | +457.7% |
| 7 | Indian Institute of Technology Patna India | 64.8 | 30.0% | 9.8× | 32 | +228.5% |
| 8 | University of Hong Kong Hong Kong | 64.0 | 51.3% | 2.7× | 58 | +94.5% |
| 9 | Hong Kong University of Science and Technology Hong Kong | 62.8 | 35.3% | 6.8× | 66 | +33.8% |
| 10 | Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates | 62.6 | 28.6% | 25.9× | 26 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Topic Modeling research growing?
Output in 2018–2022 was 103% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Topic Modeling.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.