Call for Papers

The rapid advancements in Artificial Intelligence (AI), particularly the emergence of large  language models (LLMs) such as ChatGPT and DeepSeek, have brought transformative changes  to the entire scientific research ecosystem.

We are excited to announce a special issue focused on "AI for Science of Science." This special topic aims to foster a deeper understanding of how AI is transforming the science of science, while also addressing the ethical, practical, and methodological challenges that arise. 

We encourage submissions that push the boundaries of current knowledge and offer innovative perspectives on the intersection between AI and scientific research. 

Types

Reviews / Original research articles / Data papers / Opinions

Topics

• Novel applications of AI in knowledge discovery, bibliometric analysis, and technology  forecasting.

• AI for enhancing research evaluation and broadening the impact of scientific research.

• Pros and cons of AI in reshaping the publishing ecosystem (e.g. addressing issues like “publish  or perish” and academic misconduct).

• Exploration of AI agents for science of science and innovation economics research.

• Ethical considerations and challenges in AI applications within science of science and other  research practices.

• Datasets and frameworks for evaluating AI tools in the context of science of science. 

Submission

• Submissions should be made through our online platform https://mc03.manuscriptcentral.com/jdis. 

  Once submitted, we  will immediately start the peer review process, and if it passes the review, we will immediately  publish it online, without the need to wait for any issue publication deadlines. 

  Deadline: June 30, 2026

  For more information, please contact us at jdis@mail.las.ac.cn.

Articles in this special issue

Research on AI-driven innovations and services in academic libraries: A bibliometric and systematic literature review

Pachisa Kulkanjanapiban, Tipawan Silwattananusarn, Maya Lambovska

https://doi.org/10.2478/jdis-2025-0036

Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning

Hui Nie, Zhao-hui Long, Ze-jun Fang, Lu-qiong Gao

https://doi.org/10.2478/jdis-2025-0046

Is Google Gemini better than ChatGPT at evaluating research quality?

Mike Thelwall

https://doi.org/10.2478/jdis-2025-0014

Journal Quality Factors from ChatGPT: More meaningful than Impact Factors?

Mike Thelwall, Kayvan Kousha

https://doi.org/10.2478/jdis-2025-0016

Evaluating research quality with Large Language Models: An analysis of ChatGPT’s effectiveness with different settings and inputs

Mike Thelwall

https://doi.org/10.2478/jdis-2025-0011

Detecting LLM-assisted writing in scientific communication: Are we there yet?

Teddy Lazebnik, Ariel Rosenfeld

https://doi.org/10.2478/jdis-2024-0020

Can ChatGPT evaluate research quality?

Mike Thelwall

https://doi.org/10.2478/jdis-2024-0013

JDIS致力于为不同领域的科学家搭建交流平台，通过基于数据的洞察来提升各界对科学研究活动基础机制的量化认识。期刊聚焦跨学科的共性议题，涵盖基金资助策略、国际合作模式、科学家的职业发展与流动、学科演变、学术交流、研究评估体系、技术转移、科研诚信建设，以及科学界与其他社会系统的互动。

欢迎所有领域的研究者投稿，收文类型包括原创研究、综述、数据论文、观点、通讯、笔记等八种长短文。

平均审稿周期6周，文章录用后10个工作日线上出版。

ImpactFactor：1.8，Q2 

CiteScore：3.7，Q1

中国科学院期刊分区表 2区

投稿：www.j-jdis.com

联络：jdis@mail.las.ac.cn