Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

open-mmlab/mmdetection: papers linking to it

GitHub · 33,022 stars · 9,817 forks · Python · license Apache-2.0 · created 2018 · github.com/open-mmlab/mmdetection

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to open-mmlab/mmdetection (https://github.com/open-mmlab/mmdetection), 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.

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Key findings#

  • 6 papers in the tracked journals link to the GitHub repository open-mmlab/mmdetection in their Crossref records, the first in 2020; most of them (1) in 2026.
  • By category: AI (6); the journals with the most are Neural Computing and Applications (2), Knowledge-Based Systems (1) and Applied Intelligence (1).
  • Linked repositories derived from it: 1, such as SwinTransformer/Swin-Transformer-Object-Detection.

By year#

2020: 1 paper2022: 1 paper2023: 1 paper2024: 1 paper2025: 1 paper2026: 1 paper
20202026
Papers linking to open-mmlab/mmdetection by publication year
YearPapers
20201
20221
20231
20241
20251
20261

Journals#

Journals whose papers link to open-mmlab/mmdetection most
JournalPapers
Neural Computing and Applications2
Knowledge-Based Systems1
Applied Intelligence1
Pattern Recognition1
International Journal of Computer Vision1
Linked repositories open-mmlab/mmdetection derives from or that derive from it
RepositoryRelationPapers
SwinTransformer/Swin-Transformer-Object-Detectionfork of open-mmlab/mmdetection2
Papers linking to open-mmlab/mmdetection, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-02-21CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5Neural Computing and ApplicationsZheng-De Zhang, Menglu Tan, Zhi-Cai Lan et al.69cites it
2020-08-26Multi-scale structural kernel representation for object detectionPattern RecognitionHao Wang, Qilong Wang, Peihua Li et al.24cites it
2023-06-17InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data AugmentationInternational Journal of Computer VisionJianhua Sun, Hao-Shu Fang, Yuxuan Li et al.5cites it
2024-10-28Fusing YOLOv5s-MediaPipe-HRV to classify engagement in E-learning: From the perspective of external observations and internal factorsKnowledge-Based SystemsJie Wang, Shuiping Yuan, Tuantuan Lu et al.5cites it
2025-01-04DT4PEIS: detection transformers for parasitic egg instance segmentationApplied IntelligenceJesús Ruiz-Santaquiteria, Aníbal Pedraza, Óscar Déniz et al.4cites it
2026-03-01Practical weakly supervised object detection: benchmark and methodNeural Computing and ApplicationsHuan Cao, Zengping Chen0cites 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). open-mmlab/mmdetection: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmdetection

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

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