The science of science: From the perspective of complex systems

A Zeng, Z Shen, J Zhou, J Wu, Y Fan, Y Wang… - Physics reports, 2017 - Elsevier
The science of science (SOS) is a rapidly developing field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Big scholarly data: A survey

F Xia, W Wang, TM Bekele, H Liu - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly
information have become increasingly challenging. The term Big Scholarly Data is coined …

[图书][B] The science of science

D Wang, AL Barabási - 2021 - books.google.com
This is the first comprehensive overview of the'science of science,'an emerging
interdisciplinary field that relies on big data to unveil the reproducible patterns that govern …

The citation advantage of linking publications to research data

G Colavizza, I Hrynaszkiewicz, I Staden, K Whitaker… - PloS one, 2020 - journals.plos.org
Efforts to make research results open and reproducible are increasingly reflected by journal
policies encouraging or mandating authors to provide data availability statements. As a …

SciSciNet: A large-scale open data lake for the science of science research

Z Lin, Y Yin, L Liu, D Wang - Scientific Data, 2023 - nature.com
The science of science has attracted growing research interests, partly due to the increasing
availability of large-scale datasets capturing the innerworkings of science. These datasets …

Collaborating with people like me: Ethnic coauthorship within the United States

RB Freeman, W Huang - Journal of Labor Economics, 2015 - journals.uchicago.edu
By examining the ethnic identity of authors in over 2.5 million scientific papers written by US-
based authors from 1985 to 2008, we find that persons of similar ethnicity coauthor together …

Network structure from rich but noisy data

MEJ Newman - Nature Physics, 2018 - nature.com
Driven by growing interest across the sciences, a large number of empirical studies have
been conducted in recent years of the structure of networks ranging from the Internet and the …

A survey of unsupervised generative models for exploratory data analysis and representation learning

M Abukmeil, S Ferrari, A Genovese, V Piuri… - Acm computing surveys …, 2021 - dl.acm.org
For more than a century, the methods for data representation and the exploration of the
intrinsic structures of data have developed remarkably and consist of supervised and …

Bayesian inference of network structure from unreliable data

JG Young, GT Cantwell… - Journal of Complex …, 2020 - academic.oup.com
Most empirical studies of complex networks do not return direct, error-free measurements of
network structure. Instead, they typically rely on indirect measurements that are often error …

Has China's Young Thousand Talents program been successful in recruiting and nurturing top-caliber scientists?

D Shi, W Liu, Y Wang - Science, 2023 - science.org
In this study, we examined China's Young Thousand Talents (YTT) program and evaluated
its effectiveness in recruiting elite expatriate scientists and in nurturing the returnee …