---
title: "Labeled Optical Coherence Tomography (OCT) for…"
description: "10 papers in the tracked journals link to the Mendeley Data dataset Labeled Optical Coherence Tomography (OCT) for Classification in their Crossref records, the first in 2021; most of them (4) in 2021."
url: https://scholar4ai.com/code/mendeley-rscbjbr9sj
markdown_url: https://scholar4ai.com/code/mendeley-rscbjbr9sj.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "10 papers in the tracked journals link to the Mendeley Data dataset Labeled Optical Coherence Tomography (OCT) for Classification in their Crossref records, the first in 2021; most of them (4) in 2021. (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)
---

# Labeled Optical Coherence Tomography (OCT) for Classification: papers linking to it

Research papers in the 480 tracked journals that link to Labeled Optical Coherence Tomography (OCT) for Classification (https://data.mendeley.com/datasets/rscbjbr9sj), 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.

- Mendeley Data
- Dataset
- 2017
- https://data.mendeley.com/datasets/rscbjbr9sj

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

## Key findings

- 10 papers in the tracked journals link to the Mendeley Data dataset Labeled Optical Coherence Tomography (OCT) for Classification in their Crossref records, the first in 2021; most of them (4) in 2021.
- By category: AI (10); the journals with the most are Neural Computing and Applications (2), Cognitive Computation (2) and Knowledge-Based Systems (1).

## By year

*Papers linking to Labeled Optical Coherence Tomography (OCT) for Classification by publication year*

| Year | Papers |
|---|---:|
| 2021 | 4 |
| 2022 | 2 |
| 2023 | 2 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to Labeled Optical Coherence Tomography (OCT) for Classification most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 1 |

## Papers

*Papers linking to Labeled Optical Coherence Tomography (OCT) for Classification, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-05-24 | [End-to-end privacy preserving deep learning on multi-institutional medical imaging](https://doi.org/10.1038/s42256-021-00337-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Georgios A. Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach et al. | 506 | cites it |
| 2021-02-15 | [Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19](https://doi.org/10.1016/j.eswa.2021.114677) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Plácido L. Vidal, Joaquim de Moura, Jorge Novo et al. | 74 | cites it |
| 2021-01-06 | [COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19](https://doi.org/10.1007/s12559-020-09795-5) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Aytürk Keleş, Mustafa Berk Keles, Mustafa Berk Keles et al. | 73 | cites it |
| 2021-03-02 | [Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis](https://doi.org/10.1007/s12559-020-09779-5) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Sejuti Rahman, Sujan Chandra Sarker, Md Abdullah Al Miraj et al. | 48 | cites it |
| 2024-03-01 | [A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system](https://doi.org/10.1007/s10489-024-05420-2) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Theodora Sanida, Minas Dasygenis | 31 | cites it |
| 2022-01-13 | [Challenges for ocular disease identification in the era of artificial intelligence](https://doi.org/10.1007/s00521-021-06770-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Neha Gour, M. Tanveer, Pritee Khanna | 30 | cites it |
| 2023-06-28 | [An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation](https://doi.org/10.1109/tnnls.2023.3286484) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | Jie Du, Xiaoci Zhang, Peng Liu et al. | 27 | cites it |
| 2023-12-28 | [Federated Learning for Distribution Skewed Data Using Sample Weights](https://doi.org/10.1109/tai.2023.3348073) | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | Hung T. Nguyen, Pei-Yuan Wu, J. Morris Chang | 16 | cites it |
| 2022-11-02 | [Utilization of big data classification models in digitally enhanced optical coherence tomography for medical diagnostics](https://doi.org/10.1007/s00521-022-07973-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Priti Bansal, Nipun Harjai, Mohammad Saif et al. | 15 | cites it |
| 2025-12-07 | [Which domain fits best? domain similarity measures for two-step heterogeneous transfer learning for early laryngeal cancer diagnosis](https://doi.org/10.1016/j.knosys.2025.115056) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Xinyi Fang, Yuqi Luo, Kei Long Wong et al. | 2 | 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). Labeled Optical Coherence Tomography (OCT) for Classification: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-rscbjbr9sj

```bibtex
@misc{scholar4ai-code-mendeley-rscbjbr9sj,
  author = {{Scholar4AI}},
  title = {Labeled Optical Coherence Tomography (OCT) for Classification: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-rscbjbr9sj}},
  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/).