Why a socialbot is effective in Twitter? A statistical insight. - Mohd Fazil; Muhammad Abulaish (COMSNETS, 2017)

Identifying active, reactive, and inactive targets of socialbots in Twitter. - Mohd Fazil; Muhammad Abulaish (WI, 2017)

A Layered Approach for Summarization and Context Learning from Microblogging Data. - Muhammad Abulaish; Md. Imran Hossain Showrov; Mohd Fazil (iiWAS, 2018)

Modeling Topic Evolution in Twitter: An Embedding-Based Approach. - Muhammad Abulaish; Mohd Fazil (IEEE Access, 2018)

A Hybrid Approach for Detecting Automated Spammers in Twitter. - Mohd Fazil; Muhammad Abulaish (IEEE Trans. Inf. Forensics Secur., 2018)

A Multi-Attributed Graph-Based Approach for Text Data Modeling and Event Detection in Twitter. - Muhammad Abulaish; Sielvie Sharma; Mohd Fazil (COMSNETS, 2019)

A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter. - Muhammad Abulaish; Nikita Kumari; Mohd Fazil; Basanta Singh (WI, 2019)

A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion. - Muhammad Abulaish; Mohd Fazil; Tarique Anwar (ADC, 2020)

A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN. - Mohd Fazil; Amit Kumar Sah; Muhammad Abulaish (WI/IAT, 2020)

A socialbots analysis-driven graph-based approach for identifying coordinated campaigns in twitter. - Mohd Fazil; Muhammad Abulaish (J. Intell. Fuzzy Syst., 2020)

Socialbots: Impacts, Threat-Dimensions, and Defense Challenges. - Muhammad Abulaish; Mohd Fazil (IEEE Technol. Soc. Mag., 2020)

A machine learning approach for socialbot targets detection on Twitter. - Muhammad Abulaish; Mohd Fazil (J. Intell. Fuzzy Syst., 2021)

DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection. - Mohd Fazil; Amit Kumar Sah; Muhammad Abulaish (IEEE Trans. Inf. Forensics Secur., 2021)

HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network. - Shakir Khan; Ashraf Kamal; Mohd Fazil; Mohammed Ali Alshara; Vineet Kumar Sejwal; Reemiah Muneer Alotaibi; Abdul Rauf Baig; Salihah Alqahtani (IEEE Access, 2022)

BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. - Shakir Khan; Mohd Fazil; Vineet Kumar Sejwal; Mohammed Ali Alshara; Reemiah Muneer Alotaibi; Ashraf Kamal; Abdul Rauf Baig (J. King Saud Univ. Comput. Inf. Sci., 2022)

Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics. - Muhammad Abulaish; Mohd Fazil; Mohammed J. Zaki (ACM Trans. Knowl. Discov. Data, 2022)

A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity Prediction. - Muhammad Abulaish; Anuj Saraswat; Mohd Fazil (ASONAM, 2023)

Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction. - Mohd Fazil; Shakir Khan; Bader M. Albahlal; Reemiah Muneer Alotaibi; Tamanna Siddiqui; Mohd Asif Shah (IEEE Access, 2023)

A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches. - Obaidullah Zaland; Muhammad Abulaish; Mohd Fazil (CoRR, 2023)

A Novel Deep Learning Model for Student Performance Prediction Using Engagement Data. - Mohd Fazil; Angelica Risquez; Claire Halpin (J. Learn. Anal., 2024)

BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase. - Ashraf Kamal; Tarique Anwar; Vineet Kumar Sejwal; Mohd Fazil (IEEE Trans. Comput. Soc. Syst., 2024)

SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning. - Saqib Qamar; Mohd Fazil; Parvez Ahmad; Ghulam Muhammad (CoRR, 2025)