Web Data Mining and Analysis
Web Data Mining and Analysis is a research topic within Information Systems. Science Explorer counts 30k research works in it since 1950. 21.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on techniques and technologies for extracting structured data from web pages, including web crawling, automatic wrapper generation, page segmentation, and mining data records. It also covers topics related to the hidden web, information retrieval, and content adaptation for different devices.
- Web Data Extraction
- Web Crawling
- Information Retrieval
- Structured Data
- Automatic Wrapper Generation
- Hidden Web
- Page Segmentation
- Data Records Mining
- Deep Web
- Content Adaptation
- Research works
- 30k fractional, since 1950
- In the world top 10%
- 6.5k per year above
- Top-10% rate
- 21.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -31% the tick is no change
Which countries lead Web Data Mining and Analysis research?
By volume, China and India publish the most (1.2k and 441 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.2k works
- 2 India 441 works
- 3 United States 353 works
- 4 Germany 104 works
- 5 Japan 88 works
- 6 Indonesia 81 works
- 7 United Kingdom 66 works
- 8 Canada 60 works
- 9 France 57 works
- 10 Italy 53 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 Web Data Mining and Analysis research?
By volume in 2022–2025, National University of Defense Technology publishes the most Web Data Mining and Analysis research, followed by Beijing University of Posts and Telecommunications and Chinese Academy of Sciences.
By volume, 2022–2025
- 1 National University of Defense Technology China 25 works
- 2 Beijing University of Posts and Telecommunications China 15 works
- 3 Chinese Academy of Sciences China 14 works
- 4 Tsinghua University China 13 works
- 5 Amrita Vishwa Vidyapeetham India 13 works
- 6 Peking University China 12 works
- 7 Shanghai Jiao Tong University China 12 works
- 8 University of Chinese Academy of Sciences China 12 works
- 9 Beijing Institute of Technology China 12 works
- 10 Nanjing University China 12 works
Who are the leading researchers in Web Data Mining and Analysis?
The most-cited researchers publishing on Web Data Mining and Analysis include Philip S. Yu, Jiawei Han and David R. Karger.
- 1 Philip S. Yu 6.6k citations
- 2 Jiawei Han 5.2k citations
- 3 David R. Karger 5.2k citations
- 4 Susan Dumais 4.8k citations
- 5 Christos Faloutsos 4.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Web Data Mining and Analysis research done?
The largest centres of Web Data Mining and Analysis research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Coimbatore.
Largest cities, 2022–2025
Where it is the local speciality
- CoimbatoreIN · 24.7 works4.4×
Location quotient: how much more of its research is in Web Data Mining and Analysis than the world average.
Where is the best place to study Web Data Mining and Analysis?
Among universities, judged by research, Amrita Vishwa Vidyapeetham, Renmin University of China and National University of Defense Technology 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 | Amrita Vishwa Vidyapeetham India | 64.4 | 29.3% | 7.5× | 13 | +506.9% |
| 2 | Renmin University of China China | 56.6 | 30.2% | 10.0× | 11 | -49.8% |
| 3 | National University of Defense Technology China | 55.7 | 14.3% | 9.6× | 25 | -22.7% |
| 4 | Hunan University of Science and Technology China | 51.6 | 22.8% | 20.0× | 10 | +8.2% |
| 5 | Beijing University of Posts and Telecommunications China | 43.8 | 15.5% | 7.6× | 15 | -32.0% |
| 6 | Minzu University of China China | 40.7 | 8.2% | 9.4× | 9 | +75.2% |
| 7 | Nanjing University China | 39.4 | 21.4% | 4.5× | 12 | +19.1% |
| 8 | Zhejiang University China | 38.6 | 42.2% | 1.5× | 10 | -51.6% |
| 9 | Peking University China | 37.8 | 30.8% | 2.4× | 12 | -62.4% |
| 10 | SRM Institute of Science and Technology India | 36.4 | 24.5% | 3.8× | 10 | +29.2% |
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 Web Data Mining and Analysis research growing?
Output in 2018–2022 was 31% lower than in 2013–2017, peaking in 2011.
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.