Papers on “high-dimensional data”
Research on “high-dimensional data” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers. Also as Markdown.
← Top research keywords · Keyword trends
Key findings#
- From 2017 to 2026 (so far), the keyword “high-dimensional data” appeared in 1,595 papers in the tracked journals, most of them in AI (994), statistics (458) and operations research (57).
- 215 of them were published in 2025, against 93 in 2017.
- Since 2023, the institutions with the most of these papers were Southwest Jiaotong University (22), Chinese Academy of Sciences (20) and Northwestern Polytechnical University (18).
- The journals publishing most of them were Expert Systems with Applications (71), Pattern Recognition (52) and Knowledge-Based Systems (52).
- The most-cited of them is “Selecting critical features for data classification based on machine learning methods” (Journal Of Big Data, 2020), with 983 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 58 | 71 | 78 | 95 | 115 | 114 | 128 | 113 | 124 | 98 |
| Statistics | 29 | 39 | 39 | 36 | 42 | 49 | 43 | 46 | 73 | 62 |
| Operations Research | 3 | 5 | 4 | 6 | 6 | 7 | 5 | 5 | 7 | 9 |
| Economics | 3 | 8 | 2 | 5 | 4 | 8 | 10 | 4 | 6 | 2 |
| Finance | 0 | 1 | 0 | 2 | 1 | 3 | 0 | 1 | 4 | 3 |
| Information Systems | 0 | 2 | 2 | 1 | 0 | 1 | 3 | 2 | 1 | 0 |
| Management | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 0 |
| Marketing | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
| Health Economics and Policy | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 93 | 126 | 126 | 145 | 170 | 183 | 189 | 174 | 215 | 174 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 71 |
| 2 | Pattern Recognition | 52 |
| 3 | Knowledge-Based Systems | 52 |
| 4 | Statistics and Computing | 43 |
| 5 | Journal of Multivariate Analysis | 42 |
| 6 | Computational Statistics & Data Analysis | 34 |
| 7 | Applied Intelligence | 32 |
| 8 | Neural Networks | 27 |
| 9 | IEEE Transactions on Knowledge and Data Engineering | 27 |
| 10 | IEEE Transactions on Fuzzy Systems | 26 |
| # | Institution | Papers |
|---|---|---|
| 1 | Southwest Jiaotong University | 22 |
| 2 | Chinese Academy of Sciences | 20 |
| 3 | Northwestern Polytechnical University | 18 |
| 4 | Sichuan University | 17 |
| 5 | Beijing Normal University | 15 |
| 6 | Southwest University | 13 |
| 7 | University of Alberta | 13 |
| 8 | Xi'an Jiaotong University | 11 |
| 9 | Beijing Normal University, Zhuhai | 10 |
| 10 | Centre National de la Recherche Scientifique | 10 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 412 |
| 2 | United States | 96 |
| 3 | India | 38 |
| 4 | Canada | 35 |
| 5 | Australia | 33 |
| 6 | United Kingdom | 30 |
| 7 | Italy | 28 |
| 8 | South Korea | 28 |
| 9 | Hong Kong | 26 |
| 10 | Japan | 24 |
| # | Keyword | Papers |
|---|---|---|
| 1 | feature selection | 192 |
| 2 | dimensionality reduction | 87 |
| 3 | computational efficiency | 30 |
| 4 | class imbalance | 27 |
| 5 | classification | 27 |
| 6 | curse of dimensionality | 24 |
| 7 | asymptotic normality | 23 |
| 8 | interpretability | 22 |
| 9 | unsupervised feature selection | 21 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 983 | 13.0 | Selecting critical features for data classification based on machine learning methods | Journal Of Big Data | 2020-07-23 | Rung-Ching Chen, Christine Dewi, Su-Wen Huang et al. |
| 2 | 822 | 10.8 | A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion | Information Fusion | 2020-06-26 | Farman Ali, Shaker El–Sappagh, S. M. Riazul Islam et al. |
| 3 | 726 | 8.7 | Principal component analysis | Machine Learning | 2019-11-15 | Ferath Kherif, Adeliya Latypova |
| 4 | 666 | 6.3 | Problem formulations and solvers in linear SVM: a review | Artificial Intelligence Review | 2018-01-16 | Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma |
| 5 | 633 | 20.2 | Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods | Journal Of Big Data | 2024-03-26 | Huanjing Wang, Qianxin Liang, John Hancock et al. |
Cite this page
Scholar4AI. (2026). Papers on “high-dimensional data”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/high-dimensional-data
@misc{scholar4ai-keywords-high-dimensional-data,
author = {{Scholar4AI}},
title = {Papers on “high-dimensional data”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/high-dimensional-data}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}