---
title: "balraj98/cvcclinicdb: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset balraj98/cvcclinicdb in their Crossref records, the first in 2023; most of them (1) in 2026."
url: https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb
markdown_url: https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset balraj98/cvcclinicdb in their Crossref records, the first in 2023; most of them (1) 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)
---

# balraj98/cvcclinicdb: papers linking to it

Research papers in the 480 tracked journals that link to balraj98/cvcclinicdb (https://www.kaggle.com/datasets/balraj98/cvcclinicdb), 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.

- Kaggle
- https://www.kaggle.com/datasets/balraj98/cvcclinicdb

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset balraj98/cvcclinicdb in their Crossref records, the first in 2023; most of them (1) in 2026.
- By category: AI (4); the journals with the most are Cognitive Computation (2), Knowledge-Based Systems (1) and Neural Computing and Applications (1).

## By year

*Papers linking to balraj98/cvcclinicdb by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to balraj98/cvcclinicdb most*

| Journal | Papers |
|---|---:|
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to balraj98/cvcclinicdb, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2026-03-21 | [MedAugment: Universal automatic data augmentation plug-in for medical image analysis](https://doi.org/10.1016/j.knosys.2026.115828) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Zhaoshan Liu, Qiujie Lv, Yifan Li et al. | 16 | cites it |
| 2023-07-22 | [An advanced diagnostic ColoRectalCADx utilises CNN and unsupervised visual explanations to discover malignancies](https://doi.org/10.1007/s00521-023-08859-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi | 12 | cites it |
| 2024-11-27 | [CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images](https://doi.org/10.1007/s12559-024-10357-2) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Akella S. Narasimha Raju, Kayalvizhi Jayavel, Thulasi Rajalakshmi et al. | 8 | cites it |
| 2025-03-21 | [Medivision: Empowering Colorectal Cancer Diagnosis and Tumor Localization Through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images](https://doi.org/10.1007/s12559-025-10433-1) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla et al. | 4 | 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). balraj98/cvcclinicdb: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb

```bibtex
@misc{scholar4ai-code-kaggle-balraj98-cvcclinicdb,
  author = {{Scholar4AI}},
  title = {balraj98/cvcclinicdb: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-balraj98-cvcclinicdb}},
  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/).