yatengLG/ISAT_with_segment_anything: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to yatengLG/ISAT_with_segment_anything (https://github.com/yatengLG/ISAT_with_segment_anything), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.
Key findings#
- 3 papers in the tracked journals link to the GitHub repository yatengLG/ISAT_with_segment_anything in their Crossref records, the first in 2023; most of them (1) in 2026.
- By category: AI (3); the journals with the most are Expert Systems with Applications (2) and International Journal of Computer Vision (1).
By year#
20232026
| Year | Papers |
|---|---|
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Expert Systems with Applications | 2 |
| International Journal of Computer Vision | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2023-11-30 | Point cloud enhancement optimization and high-fidelity texture reconstruction methods for air material via fusion of 3D scanning and neural rendering | Expert Systems with Applications | Qichun Hu, Xiaolong Wei, Xin Zhou et al. | 13 | cites it |
| 2025-07-07 | Context-interaction transformer for insulator semantic segmentation in infrared images | Expert Systems with Applications | Siyuan Peng, Dawei Zhao, Qingwei Gao et al. | 2 | cites it |
| 2026-04-14 | Restoration Adaptation for Semantic Segmentation on Low Quality Images | International Journal of Computer Vision | Kai Guan, Rongyuan Wu, Shuai Li et al. | 1 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). yatengLG/ISAT_with_segment_anything: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-yatenglg-isat-with-segment-anything
@misc{scholar4ai-code-github-yatenglg-isat-with-segment-anything,
author = {{Scholar4AI}},
title = {yatengLG/ISAT_with_segment_anything: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/github-yatenglg-isat-with-segment-anything}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}