1. Abu-Jbara, A., Erza, J., & Radev, D. (2013). Purpose and polarity of citation: Towards NLP-based bibliometrics. In Proceedings of the 2013 conference of the North American chapter of the association for computational linguistics: human language technologies (NAACL-HLT’13), (pp. 596–606). https://aclanthology.org/N13-1067
2. Agarwal, S., Choubey, L., & Yu, H. (2010). Automatically classifying the role of citations in biomedical articles. In Proceedings of the 2010 annual symposium of the American medical informatics association (AMIA’10), (pp. 11–15). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041379
3. Aggarwal, P., & Sharma, R. (2016). Lexical and syntactic cues to identify reference scope of citance. In Proceedings of the 1st joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL’16) (pp. 103–112). CEUR. http://ceur-ws.org/Vol-1610/paper12.pdf
4. Aljohani, N. R., Fayoumi, A., & Hassan, S.-U. (2021a). A novel focal-loss and class-weight-aware convolutional neural network for the classification of in-text citations. Journal of Information Science. https://doi.org/10.1177/0165551521991022
5. Aljohani, N. R., Fayoumi, A., & Hassan, S.-U. (2021b). An in-text citation classification predictive model for a scholarly search system. Scientometrics, 126, 5509–5529. https://doi.org/10.1007/s11192-021-03986-z