RangiLyu/nanodet: papers linking to it

GitHub · 6,276 stars · 1,117 forks · Python · license Apache-2.0 · created 2020 · github.com/RangiLyu/nanodet

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to RangiLyu/nanodet (https://github.com/RangiLyu/nanodet), 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#

9 papers in the tracked journals link to the GitHub repository RangiLyu/nanodet in their Crossref records, the first in 2022; most of them (5) in 2025.
By category: AI (9); the journals with the most are Expert Systems with Applications (4), Neural Computing and Applications (3) and Knowledge-Based Systems (1).

By year#

20222026

Papers linking to RangiLyu/nanodet by publication year
Year	Papers
2022	1
2023	1
2025	5
2026	2

Journals#

Journals whose papers link to RangiLyu/nanodet most
Journal	Papers
Expert Systems with Applications	4
Neural Computing and Applications	3
Knowledge-Based Systems	1
Applied Intelligence	1

Papers linking to RangiLyu/nanodet, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-05-12	A real–time detection framework for surface defects in ceramic tableware based on deep learning	Expert Systems with Applications	Pu Sun, Changchun Hua, Changchun Hua et al.	16	cites it
2023-10-03	An adaptively weighted loss-enabled lightweight teacher–student model for real-time railroad inspection on edge devices	Neural Computing and Applications	Jiawei Guo, Sen Zhang, Yu Qian et al.	10	cites it
2022-08-05	A deep learning based dislocation detection method for cylindrical silicon growth process	Applied Intelligence	She Yuting, Hongxing Li	9	cites it
2025-08-05	ForestBerryNet: a dual-backbone architecture with hierarchical attention fusion for efficient forest berry detection	Expert Systems with Applications	Xiaorong Zhang, Xuting Hu, Han Liao	5	cites it
2025-07-24	Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models	Expert Systems with Applications	Yunjia Wang, Zihao Zhang, Kaizheng Wang et al.	4	cites it
2025-06-01	Camera clustering for scalable stream-based active distillation	Expert Systems with Applications	Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer et al.	2	cites it
2025-08-27	MCINet: Multimodal context-aware network for RGBT tracking	Knowledge-Based Systems	Zhao Gao, Dongming Zhou, Zhiyong Wu et al.	1	cites it
2026-02-01	Integrating multi-camera surveillance with transductive learning for duplicate removal	Neural Computing and Applications	Jorge Batista, Tatiane Nogueira Rios, Matheus T. Guimarães et al.	0	cites it
2026-05-01	YOLO_NMV: intelligent pedestrian detection for non-motorized vehicles	Neural Computing and Applications	Xiao Wu, Xiao Teng, Zhengjiang Shen	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). RangiLyu/nanodet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-rangilyu-nanodet

@misc{scholar4ai-code-github-rangilyu-nanodet,
  author = {{Scholar4AI}},
  title = {RangiLyu/nanodet: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-rangilyu-nanodet}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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