--- title: "PyTorchLightning/pytorch-lightning: 0.7.6 release" description: "7 papers in the tracked journals link to the Zenodo dataset PyTorchLightning/pytorch-lightning: 0.7.6 release in their Crossref records, the first in 2024; most of them (5) in 2025." url: https://scholar4ai.com/code/zenodo-3828935 markdown_url: https://scholar4ai.com/code/zenodo-3828935.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "7 papers in the tracked journals link to the Zenodo dataset PyTorchLightning/pytorch-lightning: 0.7.6 release in their Crossref records, the first in 2024; most of them (5) in 2025. (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) --- # PyTorchLightning/pytorch-lightning: 0.7.6 release: papers linking to it Research papers in the 480 tracked journals that link to PyTorchLightning/pytorch-lightning: 0.7.6 release (https://doi.org/10.5281/zenodo.3828935), 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. - Zenodo - Software - 2020 - archives github.com/pytorchlightning/pytorch-lightning - https://doi.org/10.5281/zenodo.3828935 All repositories: https://scholar4ai.com/code.md ## Key findings - 7 papers in the tracked journals link to the Zenodo dataset PyTorchLightning/pytorch-lightning: 0.7.6 release in their Crossref records, the first in 2024; most of them (5) in 2025. - By category: AI (7); the journals with the most are Nature Machine Intelligence (3), Neural Networks (1) and Knowledge-Based Systems (1). - It is a Zenodo archive of Lightning-AI/pytorch-lightning, which other papers here link to as well. ## By year *Papers linking to PyTorchLightning/pytorch-lightning: 0.7.6 release by publication year* | Year | Papers | |---|---:| | 2024 | 1 | | 2025 | 5 | | 2026 | 1 | ## Journals *Journals whose papers link to PyTorchLightning/pytorch-lightning: 0.7.6 release most* | Journal | Papers | |---|---:| | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 3 | | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 | | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 | | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 | | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 | ## Related repositories *Linked repositories PyTorchLightning/pytorch-lightning: 0.7.6 release derives from or that derive from it* | Repository | Relation | Papers | |---|---|---:| | [Lightning-AI/pytorch-lightning](https://scholar4ai.com/code/github-lightning-ai-pytorch-lightning.md) | PyTorchLightning/pytorch-lightning: 0.7.6 release is its Zenodo archive | 13 | ## Papers *Papers linking to PyTorchLightning/pytorch-lightning: 0.7.6 release, most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2025-03-31 | [InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments](https://doi.org/10.1038/s42256-025-01019-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Kevin Eloff, Konstantinos Kalogeropoulos, Amandla Mabona et al. | 44 | cites it | | 2024-01-23 | [Variational autoencoder for design of synthetic viral vector serotypes](https://doi.org/10.1038/s42256-023-00787-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Suyue Lyu, Shahin Sowlati‐Hashjin, Michael Garton | 14 | cites it | | 2025-06-23 | [Robust virtual staining of landmark organelles with Cytoland](https://doi.org/10.1038/s42256-025-01046-2) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Ziwen Liu, Eduardo Hirata-Miyasaki, Soorya Pradeep et al. | 14 | cites it | | 2025-11-25 | [Interpretable Deep Reinforcement Learning Via Concept-Based Policy Distillation](https://doi.org/10.1007/s10994-025-06928-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Yanzhe Bekkemoen, Helge Langseth A | 5 | cites it | | 2025-04-16 | [Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels](https://doi.org/10.1007/s10489-025-06555-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | André Moreira Souza, Lori Kobayashi, Lucas Tassoni Andrietta et al. | 3 | cites it | | 2025-07-21 | [CoSTI: Consistency models for (a faster) spatio-temporal imputation](https://doi.org/10.1016/j.knosys.2025.114117) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Javier Solí­s-Garcí­a, Belén Vega-Márquez, Juan A. Nepomuceno et al. | 2 | cites it | | 2026-06-03 | [Symplectic convolutional neural networks](https://doi.org/10.1016/j.neunet.2026.109208) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Süleyman Yıldız, Konrad Janik, Peter Benner | 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). PyTorchLightning/pytorch-lightning: 0.7.6 release: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3828935 ```bibtex @misc{scholar4ai-code-zenodo-3828935, author = {{Scholar4AI}}, title = {PyTorchLightning/pytorch-lightning: 0.7.6 release: papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/zenodo-3828935}}, 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/).