activity
20202024
most citedThe Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error

13 citations · 16 across the 8 of their papers we have counts for

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Showing cs.DLShow all

6 papers · 1 filter

cs.DL2024

How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed

Xin Li, Xuli Tang, Wei Lu

This paper explored the temporal characteristics of clinical citations of biomedical papers, including how long it takes to receive its first clinical citation (the initial stage)…

cs.DL20231 cited

Investigating drug translational research using PubMed articles

Xin Li, Xuli Tang

Drug research and development are embracing translational research for its potential to increase the number of drugs successfully brought to clinical applications. Using the public…

cs.DL2022

Tracking biomedical articles along the translational continuum: a measure based on biomedical knowledge representation

Xin Li, Xuli Tang, Wei Lu

Keeping track of translational research is essential to evaluating the performance of programs on translational medicine. Despite several indicators in previous studies, a consensu…

cs.DL2020

Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance

Xuli Tang, Xin Li, Ying Ding +1

This paper analyzes team collaboration in the field of Artificial Intelligence (AI) from the perspective of geographic distance. We obtained 1,584,175 AI related publications durin…

cs.DL202013 cited

The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error

Xuli Tang, Xin Li, Ying Ding +2

Innovations in artificial intelligence (AI) are occurring at speeds faster than ever witnessed before. However, few studies have managed to measure or depict this increasing veloci…

cs.DL20202 cited

How to Investigate the Historical Roots and Evolution of Research Fields in China? A Case Study on iMetrics Using RootCite

Xin Li, Qiang Yao, Xuli Tang +2

This paper aimed to provide an approach to investigate the historical roots and evolution of research fields in China by extending the reference publication year spectroscopy (RPYS…