Showing 1–20 of 26 results
/ Date/ Name
Apr 24, 2026Evolving Thematic Map Design in Academic Cartography: A Thirty-Year Study Based on Multilingual JournalsApr 23, 2026Rethinking Publication: A Certification Framework for AI-Enabled ResearchApr 22, 2026Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search StrategiesApr 15, 2026AI-assisted writing and the reorganization of scientific knowledgeJun 25, 2025The role of preprints in open science: Accelerating knowledge transfer from science to technologyDec 30, 2024ACL-rlg: A Dataset for Reading List GenerationMar 24, 2024Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric AnalysisJan 26, 2024Developing ChemDFM as a large language foundation model for chemistryJul 11, 2023Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled TrialJun 1, 2023ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper ReviewingApr 20, 2022Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotationsMar 31, 2022Cite-seeing and Reviewing: A Study on Citation Bias in Peer ReviewJun 23, 2021GraphConfRec: A Graph Neural Network-Based Conference Recommender SystemMay 3, 2021Metaphor Research in the 21st Century: A Bibliographic AnalysisAug 28, 2020CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data AnalysisJul 28, 2020Construction and Usage of a Human Body Common Coordinate Framework Comprising Clinical, Semantic, and Spatial OntologiesJul 28, 2020How to Investigate the Historical Roots and Evolution of Research Fields in China? A Case Study on iMetrics Using RootCiteJul 22, 2020Understanding the temporal evolution of COVID-19 research through machine learning and natural language processingDec 18, 2018Avoiding a Tragedy of the Commons in the Peer Review ProcessMar 8, 2018Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio -- Episode 1: Machine Transcription of the Manuscripts