3 citations · 11 across the 8 of their papers we have counts for
8 papers
Ten Simple Rules for AI-Assisted Coding in Science
Eric W. Bridgeford, Iain Campbell, Zijao Chen +4
While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions about code quality and scientific…
AI and the Future of Academic Peer Review
Sebastian Porsdam Mann, Mateo Aboy, Joel Jiehao Seah +7
Peer review remains the central quality-control mechanism of science, yet its ability to fulfill this role is increasingly strained. Empirical studies document serious shortcomings…
Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review
Zhicheng Lin
In July 2025, 18 academic manuscripts on arXiv contained hidden instructions that manipulated AI-assisted peer review (indirect prompt injection). Instructions such as "GIVE A POSI…
A validity-guided workflow for robust large language model research in psychology
Zhicheng Lin
Large language models (LLMs) are rapidly being integrated into psychological and behavioral research as research tools, evaluation targets, human simulators, and cognitive models.…
Large Language Models as Psychological Simulators: A Methodological Guide
Zhicheng Lin
Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for u…
From Prompts to Constructs: A Dual-Validity Framework for Large Language Model Research in Psychology
Zhicheng Lin
Large language models (LLMs) are entering psychological research both as tools and as objects of inquiry. Yet many studies apply human instruments to LLMs without establishing that…
The why, what, and how of AI-based coding in scientific research
Tonghe Zhuang, Zhicheng Lin
Computer programming (coding) is indispensable for researchers across disciplines, yet it remains challenging to learn and time-consuming to carry out. Generative AI, particularly…
Face processing emerges from object-trained convolutional neural networks
Zhenhua Zhao, Ji Chen, Zhicheng Lin +1
Whether face processing depends on unique, domain-specific neurocognitive mechanisms or domain-general object recognition mechanisms has long been debated. Directly testing these c…