Cite
Paper acceptance prediction at the institutional level based on the combination of individual and network features
MLA
Jun Zhang, et al. “Paper Acceptance Prediction at the Institutional Level Based on the Combination of Individual and Network Features.” Scientometrics, vol. 126, Jan. 2021, pp. 1581–97. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........90123e487c6d590c2d123d48e7fd8d31&authtype=sso&custid=ns315887.
APA
Jun Zhang, Bing Wang, Peng Chen, Fang Zhou, & Wenyan Wang. (2021). Paper acceptance prediction at the institutional level based on the combination of individual and network features. Scientometrics, 126, 1581–1597.
Chicago
Jun Zhang, Bing Wang, Peng Chen, Fang Zhou, and Wenyan Wang. 2021. “Paper Acceptance Prediction at the Institutional Level Based on the Combination of Individual and Network Features.” Scientometrics 126 (January): 1581–97. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........90123e487c6d590c2d123d48e7fd8d31&authtype=sso&custid=ns315887.