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

13 citations · 34 across the 4 of their papers we have counts for

collaborators

6 papers

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.DL2020

An empirical review of the different variants of the Probabilistic Affinity Index as applied to scientific collaboration

Zaida Chinchilla-Rodríguez, Yi Bu, Nicolás Robinson-García +1

Responsible indicators are crucial for research assessment and monitoring. Transparency and accuracy of indicators are required to make research assessment fair and ensure reproduc…

cs.AI202012 cited

Coronavirus Knowledge Graph: A Case Study

Chongyan Chen, Islam Akef Ebeid, Yi Bu +1

The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months. The virus's rapid widespread has led to a p…

cs.DL20209 cited

Building a PubMed knowledge graph

Jian Xu, Sunkyu Kim, Min Song +12

PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguated, which has significantly hindered knowledge discovery.…

cs.SI2020

Citation Cascade and the Evolution of Topic Relevance

Chao Min, Qingyu Chen, Erjia Yan +2

Citation analysis, as a tool for quantitative studies of science, has long emphasized direct citation relations, leaving indirect or high order citations overlooked. However, a ser…

cs.CL2019

Analyzing Linguistic Complexity and Scientific Impact

Chao Lu, Yi Bu, Xianlei Dong +6

The number of publications and the number of citations received have become the most common indicators of scholarly success. In this context, scientific writing increasingly plays…