open-mmlab/OpenPCDet: papers linking to it

GitHub · 5,757 stars · 1,475 forks · Python · license Apache-2.0 · created 2020 · github.com/open-mmlab/OpenPCDet

← Code and data repositories cited in research papers

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

16 papers in the tracked journals link to the GitHub repository open-mmlab/OpenPCDet in their Crossref records, the first in 2024; most of them (8) in 2026.
By category: AI (15) and Operations Research (1); the journals with the most are Expert Systems with Applications (5), International Journal of Computer Vision (3) and Knowledge-Based Systems (2).

By year#

20242026

Papers linking to open-mmlab/OpenPCDet by publication year
Year	Papers
2024	3
2025	5
2026	8

Journals#

Journals whose papers link to open-mmlab/OpenPCDet most
Journal	Papers
Expert Systems with Applications	5
International Journal of Computer Vision	3
Knowledge-Based Systems	2
Pattern Recognition	2
Transportation Research Part C Emerging Technologies	1

Papers linking to open-mmlab/OpenPCDet, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-03-30	VoxT-GNN: A 3D object detection approach from point cloud based on voxel-level transformer and graph neural network	Information Processing & Management	Qiangwen Zheng, Sheng Wu, Jinghui Wei	21	cites it
2024-04-17	Challenges as catalysts: how Waymo’s Open Dataset Challenges shape AI development	AI & Society	Sam Hind, Fernando van der Vlist, Max Kanderske M.A.	10	cites it
2024-02-07	HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation	International Journal of Computer Vision	Sha Zhang, Jiajun Deng, Lei Bai et al.	8	cites it
2025-03-20	CT3D++: Improving 3D Object Detection with Keypoint-Induced Channel-wise Transformer	International Journal of Computer Vision	Xian-Sheng Hua, Sijia Cai, Na Zhao et al.	8	cites it
2026-01-08	BEVFormer++: Enhancing BEV fusion with normalized embedding and range attention for 3D object detection	Expert Systems with Applications	Shazib Qayyum, Xiaoheng Deng, Husnain Mushtaq et al.	5	cites it
2025-06-07	ANZIL: Attention-based network for zero-risk inspection of LiDAR point cloud in self-driving cars	Expert Systems with Applications	Grafika Jati, Martin Molan, Francesco Barchi et al.	3	cites it
2026-01-16	Integrated optimization for vehicle trajectory reconstruction under cooperative perception environment	Transportation Research Part C Emerging Technologies	Tianheng Zhu, Wangzhi Li, Yiheng Feng	3	cites it
2025-11-29	CAT: A high-performance cross-attributes and cross-tasks for one-stage 3D object detection	Knowledge-Based Systems	Yu Qin, Yiqiang Wu, Chang Liu et al.	1	cites it
2026-02-03	RVFormer: Keypoint-based fusion of 4D radar and vision for 3D object detection in autonomous driving	Expert Systems with Applications	Xin Bi, Caien Weng, Panpan Tong et al.	1	cites it
2026-03-11	PointSlice: Accurate and efficient slice-based representation for 3D object detection from point clouds	Pattern Recognition	Qifeng Liu, Dawei Zhao, Yabo Dong et al.	1	cites it
2026-05-05	LongSF: Long state fusion with SSMs for multimodal 3D object detection	Expert Systems with Applications	Pan Gao, Xiwen Ren, Chun Fei et al.	1	cites it
2024-06-06	Late sensor fusion approach with a designed multi-segmentation network	Neural Computing and Applications	Bekir Eren Çaldıran, Tankut Acarman	0	cites it
2025-12-05	Towards cognition-driven 3D object detection: A LiDAR-based framework	Knowledge-Based Systems	Yewei Shi, Baicang Guo, Lisheng Jin et al.	0	cites it
2026-01-20	CAT++: Enhancing 3D Annotations with Hierarchical-Interleaved Encoding and Attention-Conditioned Implicit Representation	International Journal of Computer Vision	Xiaoyan Qian, Chang Liu, Xiaojuan Qi et al.	0	cites it
2026-01-24	Perception balance with uncertainty-guided fusion and proposal-wise mixture-of-experts for robust multi-agent 3D object detection	Expert Systems with Applications	Peizhou Ni, Wenkai Zhu, Feng Jiang et al.	0	cites it
2026-04-03	OV-Pro: Enhancing open-vocabulary 3D object detection by prototype contrastive distillation	Pattern Recognition	Tongao Ge, Junyin Wang, Chenghu Du et al.	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). open-mmlab/OpenPCDet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-openpcdet

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

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