62 citations · 113 across the 23 of their papers we have counts for
23 papers · 1 filter
Beyond Human-Likeness: Mapping the Scientific Critique Profiles of LLMs and Human Reviewers
Yunhan Yang, Mike Thelwall, Guoxiu He
Large language models (LLMs) are increasingly discussed as tools for peer review, but their value is often assessed through human-likeness, perceived usefulness, or textual overlap…
Should children follow their parents' research paths? Intergenerational research continuity and divergence in academic families
Er-Te Zheng, Xiaorui Jiang, Zhichao Fang +1
How academic advantages are transmitted within families is usually studied as occupational inheritance, but it is not clear whether scholarly research orientations persist across g…
Science discussions of retracted articles on Bluesky: public scrutiny or misinformation spreading?
Er-Te Zheng, Hui-Zhen Fu, Xiaorui Jiang +2
Post-publication peer review (PPPR) has emerged as an important supplement to traditional peer review, with social media playing a growing role in publicising potential problems in…
Do Large Language Models know Which Published Articles have been Retracted?
Mike Thelwall
Large Language Models (LLMs) can be helpful for literature search and summarisation, but retracted articles can confuse them. This article asks three open weights (offline) LLMs wh…
Which stylistic features fool ChatGPT research evaluations?
Kayvan Kousha, Mike Thelwall
Large Language Models (LLMs) have the potential to be used to support research evaluation and have a moderate capability to estimate the research quality of a journal article from…
Can Large Language Models Evaluate Grant Proposal Quality? Revisiting the Wennerås and Wold Peer Review Data
Ulf Sandström, Mike Thelwall
Purpose: Despite the importance of peer review for grant funding decisions, academics are often reluctant to conduct it. This can lead to long delays between submission and the fin…