The Declining State of Academic Research: Challenges and Opportunities for Meaningful Contributions
The academic publishing system's emphasis on metrics and rankings over meaningful contributions to society is hindering the ability of researchers to pursue innovative and impactful work.
The Unconventional Journey of a Nobel Prize-Winning Researcher: Embracing Failure and Discovering Graphene
Embracing failure and unconventional approaches can lead to groundbreaking scientific discoveries, as exemplified by the Nobel Prize-winning research on graphene by Professor Andre Geim.
Accelerating Scientific Discovery with Large Language Models: An Iterative Approach to Generating Novel Research Ideas
A novel framework, ResearchAgent, that leverages large language models to automatically generate research ideas by iteratively refining problems, methods, and experiment designs based on scientific literature and entity-centric knowledge.
Analyzing the Flow of Knowledge Across Scientific Disciplines: Insights into Inter-domain and Intra-domain Dissemination
Scientific discoveries often find success in fields beyond their original domains, similar to technological innovations. This study explores the flow of knowledge across scientific disciplines, focusing on the connections between citing and cited publications to measure rates of knowledge dissemination within and across different fields.
Raman Spectroscopy Hyperspectral Unmixing with Autoencoders
Autoencoder-based hyperspectral unmixing improves accuracy and efficiency in Raman spectroscopy.
The Multilingual Nature of Scientific Literature and the Need for Diverse Models
Scientific literature is predominantly multilingual, necessitating diverse models for accurate representation.
Understanding the Mid-Career Pitfall of Consecutive Success in Science
The author explores how mid-career researchers face challenges due to a lack of resources and support, leading to a "mid-career pitfall" of consecutive success. This insight has implications for research policies and initiatives.
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
SciAssess evaluates leading LLMs in scientific literature analysis, highlighting strengths and areas for improvement to advance research capabilities.
Impact of Cross-Border Talent Recruitment on Scientific Performance in China
The study explores the impact of cross-border talent recruitment programs in China on scientific performance, highlighting the benefits and challenges faced by young scientists.
Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
The author proposes the Dynamic Impact Single-Event Embedding Model (DISEE) to reconcile impact quantification with graph representation learning in single-event networks.
