---
title: "open-mmlab/OpenPCDet: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-open-mmlab-openpcdet
markdown_url: https://scholar4ai.com/code/github-open-mmlab-openpcdet.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# open-mmlab/OpenPCDet: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2 |
| [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.ipm.2025.104155) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | Qiangwen Zheng, Sheng Wu, Jinghui Wei | 21 | cites it |
| 2024-04-17 | [Challenges as catalysts: how Waymo’s Open Dataset Challenges shape AI development](https://doi.org/10.1007/s00146-024-01927-x) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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](https://doi.org/10.1007/s11263-023-01981-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1007/s11263-025-02404-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1016/j.eswa.2026.131131) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.eswa.2025.128412) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Grafika Jati, Martin Molan, Francesco Barchi et al. | 3 | cites it |
| 2026-01-16 | [Integrated optimization for vehicle trajectory reconstruction under cooperative perception environment](https://doi.org/10.1016/j.trc.2026.105522) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 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](https://doi.org/10.1016/j.knosys.2025.114995) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1016/j.eswa.2026.131497) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.patcog.2026.113449) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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](https://doi.org/10.1016/j.eswa.2026.132682) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Pan Gao, Xiwen Ren, Chun Fei et al. | 1 | cites it |
| 2024-06-06 | [Late sensor fusion approach with a designed multi-segmentation network](https://doi.org/10.1007/s00521-024-10004-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Bekir Eren Çaldıran, Tankut Acarman | 0 | cites it |
| 2025-12-05 | [Towards cognition-driven 3D object detection: A LiDAR-based framework](https://doi.org/10.1016/j.knosys.2025.115051) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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](https://doi.org/10.1007/s11263-025-02704-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1016/j.eswa.2026.131311) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.patcog.2026.113648) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).