Papers on “multi-scale feature fusion”
Research on “multi-scale feature fusion” 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 “multi-scale feature fusion” appeared in 615 papers in the tracked journals, most of them in AI (610), information systems (4) and operations research (1).
- 182 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (27), University of Electronic Science and Technology of China (18) and Northwestern Polytechnical University (15).
- The journals publishing most of them were Expert Systems with Applications (147), Pattern Recognition (84) and Knowledge-Based Systems (71).
- The most-cited of them is “Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018), with 544 citations.
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 1 | 3 | 5 | 13 | 34 | 45 | 74 | 101 | 179 | 155 |
| Information Systems | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 |
| Operations Research | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 1 | 3 | 5 | 13 | 34 | 46 | 74 | 101 | 182 | 156 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Expert Systems with Applications | 147 |
| 2 | Pattern Recognition | 84 |
| 3 | Knowledge-Based Systems | 71 |
| 4 | Neural Networks | 48 |
| 5 | Applied Intelligence | 46 |
| 6 | Information Fusion | 32 |
| 7 | Neural Computing and Applications | 23 |
| 8 | IEEE Transactions on Neural Networks and Learning Systems | 13 |
| 9 | International Journal of Computer Vision | 6 |
| 10 | Cognitive Computation | 6 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 27 |
| 2 | University of Electronic Science and Technology of China | 18 |
| 3 | Northwestern Polytechnical University | 15 |
| 4 | Shenzhen University | 15 |
| 5 | Xidian University | 15 |
| 6 | Harbin Institute of Technology | 13 |
| 7 | Hunan University | 11 |
| 8 | Northeastern University | 10 |
| 9 | Sun Yat-sen University | 10 |
| 10 | Tsinghua University | 10 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 469 |
| 2 | United States | 23 |
| 3 | United Kingdom | 21 |
| 4 | South Korea | 14 |
| 5 | Canada | 11 |
| 6 | Australia | 10 |
| 7 | Japan | 9 |
| 8 | Hong Kong | 8 |
| 9 | Singapore | 8 |
| 10 | Italy | 7 |
| # | Keyword | Papers |
|---|---|---|
| 1 | small object detection | 48 |
| 2 | attention mechanism | 47 |
| 3 | medical image segmentation | 31 |
| 4 | lightweight neural networks | 28 |
| 5 | semantic segmentation | 24 |
| 6 | transformer models | 23 |
| 7 | U-Net | 22 |
| 8 | self-attention | 20 |
| 9 | lightweight object detection | 17 |
Most-cited papers#
Cite this page
Scholar4AI. (2026). Papers on “multi-scale feature fusion”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/multi-scale-feature-fusion
@misc{scholar4ai-keywords-multi-scale-feature-fusion,
author = {{Scholar4AI}},
title = {Papers on “multi-scale feature fusion”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/keywords/multi-scale-feature-fusion}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}