Hybrid self-optimized clustering model based on citation links and textual features to detect research topics.

MLA

Yu, Dejian, et al. “Hybrid Self-Optimized Clustering Model Based on Citation Links and Textual Features to Detect Research Topics.” PLoS ONE, vol. 12, no. 10, Oct. 2017, pp. 1–21. EBSCOhost, https://doi.org/10.1371/journal.pone.0187164.

APA

Yu, D., Wang, W., Zhang, S., Zhang, W., & Liu, R. (2017). Hybrid self-optimized clustering model based on citation links and textual features to detect research topics. PLoS ONE, 12(10), 1–21. https://doi.org/10.1371/journal.pone.0187164

Chicago

Yu, Dejian, Wanru Wang, Shuai Zhang, Wenyu Zhang, and Rongyu Liu. 2017. “Hybrid Self-Optimized Clustering Model Based on Citation Links and Textual Features to Detect Research Topics.” PLoS ONE 12 (10): 1–21. doi:10.1371/journal.pone.0187164.