1. Al-Juboori, A. F. M. A., Su, D. J., & Ko, F 2011 University Ranking and Evaluation: Trend and Existing Approaches. In The International Conference on Next Generation Information Technology 137–142
2. Bai, X., Zhang, F., Hou, J., Xia, F., Tolba, A., & Elashkar, E. (2017). Implicit multi-feature learning for dynamic time series prediction of the impact of institutions. IEEE Access, 99, 1–1.
3. Barabási, A. L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and its Applications, 311(3), 590–614.
4. Belgiu, M., & Drăguţ, L. (2016). Random forest in remote sensing: A review of applications and future directions. Isprs Journal of Photogrammetry & Remote Sensing, 114, 24–31.
5. Bellingeri, M., Bevacqua, D., Scotognella, F., & Cassi, D. (2019). The heterogeneity in link weights may decrease the robustness of real-world complex weighted networks. Scientific Reports. https://doi.org/10.1038/s41598-019-47119-2.