wolfgarbe/SymSpell: papers linking to it

GitHub · 3,489 stars · 311 forks · C# · license MIT · created 2014 · github.com/wolfgarbe/SymSpell

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to wolfgarbe/SymSpell (https://github.com/wolfgarbe/SymSpell), 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#

4 papers in the tracked journals link to the GitHub repository wolfgarbe/SymSpell in their Crossref records, the first in 2021; most of them (1) in 2026.
By category: AI (2) and Information Systems (2); the journals with the most are Expert Systems with Applications (1), International Journal of Information Management Data Insights (1) and Information Systems Frontiers (1).

By year#

20212026

Papers linking to wolfgarbe/SymSpell by publication year
Year	Papers
2021	1
2023	1
2024	1
2026	1

Journals#

Journals whose papers link to wolfgarbe/SymSpell most
Journal	Papers
Expert Systems with Applications	1
International Journal of Information Management Data Insights	1
Information Systems Frontiers	1
International Journal of Computer Vision	1

Papers linking to wolfgarbe/SymSpell, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-03-16	Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach	International Journal of Information Management Data Insights	Courtney J. Powers, Ashwin Devaraj, Kaab Ashqeen et al.	65	cites it
2021-08-27	Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary Task	International Journal of Computer Vision	Christopher Thomas, Adriana Kovashka	6	cites it
2024-09-24	Combating Online Malicious Behavior: Integrating Machine Learning and Deep Learning Methods for Harmful News and Toxic Comments	Information Systems Frontiers	Szu‐Yin Lin, Shih-Yi James Chien, Yi-Zhen Chen et al.	6	cites it
2026-06-22	LLM-guided sequence reconstruction for degraded OCR output: Closing the latency gap with parallel inference	Expert Systems with Applications	Alejandro Jaime	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). wolfgarbe/SymSpell: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-wolfgarbe-symspell

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).