z36jf: papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to z36jf (https://osf.io/z36jf/), 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 OSF dataset z36jf in their Crossref records, the first in 2022; most of them (3) in 2023.
By category: AI (5); the journals with the most are Neural Computing and Applications (5).
4 of the papers build on one another: a later paper cites an earlier one that also links z36jf.

By year#

20222026

Papers linking to z36jf by publication year
Year	Papers
2022	1
2023	3
2026	1

Journals#

Journals whose papers link to z36jf most
Journal	Papers
Neural Computing and Applications	5

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.

Robust thermal infrared tracking via an adaptively multi-feature fusion model Neural Computing and Applications, 2022
- Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking Neural Computing and Applications, 2023 — cites the paper above
- Multiple frequency–spatial network for RGBT tracking in the presence of motion blur Neural Computing and Applications, 2023 — cites the paper above
- GTAN: graph-based tracklet association network for multi-object tracking Neural Computing and Applications, 2023 — cites the paper above

Papers linking to z36jf, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-10-12	Robust thermal infrared tracking via an adaptively multi-feature fusion model	Neural Computing and Applications	Di Yuan, Xiu Shu, Qiao Liu et al.	55	cites it
2023-07-22	Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking	Neural Computing and Applications	Fengwei Gu, Jun Lu, Chengtao Cai et al.	16	cites it
2023-12-15	GTAN: graph-based tracklet association network for multi-object tracking	Neural Computing and Applications	Jianfeng Lv, Yu Zhongliang, Yifan Liu et al.	10	cites it
2023-10-03	Multiple frequency–spatial network for RGBT tracking in the presence of motion blur	Neural Computing and Applications	Shenghua Fan, Xi Chen, Chu He et al.	5	cites it
2026-02-01	Leveraging contrastive learning for cross-modal(X-modal) person identification	Neural Computing and Applications	Unse Fatima, Zafran Khan, Piotr Indyk et al.	1	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). z36jf: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-z36jf

@misc{scholar4ai-code-osf-z36jf,
  author = {{Scholar4AI}},
  title = {z36jf: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-z36jf}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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