langchain-ai/langchain: papers linking to it

GitHub · 148,922 stars · 25,036 forks · Python · license MIT · created 2022 · github.com/langchain-ai/langchain

← Code and data repositories cited in research papers

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

9 papers in the tracked journals link to the GitHub repository langchain-ai/langchain in their Crossref records, the first in 2024; most of them (4) in 2025.
By category: AI (7), Information Systems (1) and Economics (1); the journals with the most are Expert Systems with Applications (4), Journal of Industrial Information Integration (1) and Neural Computing and Applications (1).

By year#

20242026

Papers linking to langchain-ai/langchain by publication year
Year	Papers
2024	4
2025	4
2026	1

Journals#

Journals whose papers link to langchain-ai/langchain most
Journal	Papers
Expert Systems with Applications	4
Journal of Industrial Information Integration	1
Neural Computing and Applications	1
Nature Machine Intelligence	1
Transport Policy	1

Papers linking to langchain-ai/langchain, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-05-08	Augmenting large language models with chemistry tools	Nature Machine Intelligence	Andres M Bran, Sam Cox, Oliver Tobias Schilter et al.	795	cites it
2024-03-14	TrafficGPT: Viewing, processing and interacting with traffic foundation models	Transport Policy	Siyao Zhang, Daocheng Fu, Wenzhe Liang et al.	166	cites it
2024-04-18	Building a knowledge graph to enrich ChatGPT responses in manufacturing service discovery	Journal of Industrial Information Integration	Yunqing Li, Binil Starly	37	cites it
2024-12-08	Can Large Language Models beat wall street? Evaluating GPT-4’s impact on financial decision-making with MarketSenseAI	Neural Computing and Applications	Georgios Fatouros, Kostas Metaxas, John K. Soldatos et al.	25	cites it
2025-06-25	ChatSOS: Vector database augmented generative question answering assistant in safety engineering	Expert Systems with Applications	Haiyang Tang, Dongping Chen, Qingzhao Chu et al.	5	cites it
2025-02-19	FinCaKG-Onto: the financial expertise depiction via causality knowledge graph and domain ontology	Applied Intelligence	Ziwei Xu, Ryutaro Ichise	4	cites it
2025-08-12	WADSeg: Exploiting weak attention associations for enhanced knowledge segmentation in RAG	Expert Systems with Applications	Tiezheng Guo, Chen Wang, Qingwen Yang et al.	4	cites it
2025-10-06	AI-enhanced structured dataset building for generating meaningful knowledge relationships and diversified questions	Expert Systems with Applications	Wu‐Yuin Hwang, Quoc-Viet Nguyen, Min-Te Sun	1	cites it
2026-02-04	OntoLLM: Enhancing LLM grounding and digression prevention with ontologies and knowledge graphs	Expert Systems with Applications	Pruthvi Raj Venkatesh, P. Radha Krishna	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). langchain-ai/langchain: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-langchain-ai-langchain

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

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