ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference: papers linking to it

Zenodo · Software · 2022 · archives github.com/ultralytics/yolov5 · doi.org/10.5281/zenodo.6222936

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference (https://doi.org/10.5281/zenodo.6222936), 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#

5 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference in their Crossref records, the first in 2022; most of them (1) in 2026.
By category: AI (5); the journals with the most are Expert Systems with Applications (3), Neural Networks (1) and Applied Intelligence (1).
2 of the papers build on one another: a later paper cites an earlier one that also links ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference.
It is a Zenodo archive of ultralytics/yolov5, which other papers here link to as well.

By year#

20222026

Papers linking to ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference by publication year
Year	Papers
2022	1
2023	1
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference most
Journal	Papers
Expert Systems with Applications	3
Neural Networks	1
Applied Intelligence	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection Applied Intelligence, 2022
- Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC) Expert Systems with Applications, 2023 — cites the paper above

Linked repositories ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference derives from or that derive from it
Repository	Relation	Papers
ultralytics/yolov5	ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference is its Zenodo archive	110

Papers linking to ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-02-26	Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)	Expert Systems with Applications	Ahmet Karaman, İshak Paçal, Alper Baştürk et al.	120	cites it
2022-11-23	Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection	Applied Intelligence	Ahmet Karaman, Derviş Karaboğa, İshak Paçal et al.	108	cites it
2025-05-17	Deep learning methods for autonomous driving scene understanding tasks: A review	Expert Systems with Applications	Mehwish Awan, Taeg Keun Whangbo, Jitae Shin	12	cites it
2024-03-20	Revolutionizing flame detection: Novelization in flame detection through transferring distillation for knowledge to pruned model	Expert Systems with Applications	Hongkang Tao, Jiansheng Liu, Zan Yang et al.	11	cites it
2026-04-18	Cross-modal transformer fusion via local sampling for drone RGB-infrared object detection	Neural Networks	He Qi, Xuanyu Xiang, Hui Qin 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). ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-6222936

@misc{scholar4ai-code-zenodo-6222936,
  author = {{Scholar4AI}},
  title = {ultralytics/yolov5: v6.1 - TensorRT, TensorFlow Edge TPU and OpenVINO Export and Inference: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-6222936}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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