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

13 citations · 16 across the 9 of their papers we have counts for

collaborators

9 papers

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.DL2023★ 1 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.CL2022

Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network

Xin Li, Xuli Tang, Qikai Cheng

The number of clinical citations received from clinical guidelines or clinical trials has been considered as one of the most appropriate indicators for quantifying the clinical imp…

cs.CY2021

Internationalizing AI: Evolution and Impact of Distance Factors

Xuli Tang, Xin Li, Feicheng Ma

International collaboration has become imperative in the field of AI. However, few studies exist concerning how distance factors have affected the international collaboration in AI…

q-bio.OT2021

Characterizing interdisciplinarity in drug research: a translational science perspective

Xin Li, Xuli Tang

Despite the significant advances in life science, it still takes decades to translate a basic drug discovery into a cure for human disease. To accelerate the process from bench to…

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.DL2020★ 13 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.DL2020★ 2 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…