| Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate DA Broniatowski, AM Jamison, SH Qi, L AlKulaib, T Chen, A Benton, ... American journal of public health 108 (10), 1378-1384, 2018 | 1185 | 2018 |
| Detecting and characterizing bot-like behavior on Twitter SH Qi, L AlKulaib, DA Broniatowski Social, Cultural, and Behavioral Modeling: 11th International Conference …, 2018 | 24 | 2018 |
| Predicting depression and anxiety on reddit: a multi-task learning approach S Sarkar, A Alhamadani, L Alkulaib, CT Lu 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 11 | 2022 |
| Twitter Bot Identification: An Anomaly Detection Approach L Alkulaib, L Zhang, Y Sun, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 3577-3585, 2022 | 5 | 2022 |
| & Dredze, M.(2018). Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate DA Broniatowski, AM Jamison, S Qi, L AlKulaib, T Chen, A Benton American Journal of Public Health, 0 | 5 | |
| Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis A Alhamadani, S Sarkar, L Zhang, L Alkulaib, CT Lu 2021 IEEE International Conference on Big Data (Big Data), 4313-4322, 2021 | 2 | 2021 |
| Collect Ethically: Reduce Bias in Twitter Datasets L Alkulaib, A Alhamadani, T Ji, CT Lu Information Management and Big Data: 6th International Conference, SIMBig …, 2020 | 2 | 2020 |
| Recognizing Images of Eating Disorders in Social Media. R Pless, R Begtrup, L Alkulaib, SN Counts, J Harnett, JL Manning, H Xuan, ... SMM4H@ AMIA, 42, 2017 | 2 | 2017 |
| HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets L Alkulaib, A Alhamadani, S Sarkar, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 693-700, 2022 | 1 | 2022 |
| DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data A Alhamadani, S Sarkar, L Alkulaib, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 5163-5172, 2022 | 1 | 2022 |
| PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit A Alhamadani, S Sarkar, L Alkulaib, CT Lu 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 1 | 2022 |
| Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction LAKH Alkulaib Virginia Tech, 2024 | | 2024 |
| Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification L Alkulaib, CT Lu 2023 IEEE International Conference on Big Data (BigData), 5140-5145, 2023 | | 2023 |
| UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset MY Aktas, L Alkulaib, CT Lu 2023 IEEE International Conference on Big Data (BigData), 5134-5139, 2023 | | 2023 |
| From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry A Alhamadani, K Althubiti, S Sarkar, J He, L Alkulaib, S Behal, M Khan, ... Proceedings of the International Conference on Advances in Social Networks …, 2023 | | 2023 |
| Hypergraph Text Classification for Mental Health Misleading Advice L Alkulaib, A Alhamadani, S Sarkar, CT Lu Proceedings of the International Conference on Advances in Social Networks …, 2023 | | 2023 |
| Analyzing Prediction of Depression and Anxiety on Reddit: a Multi-task Learning Approach through GMMTL S Sarkar, A Alhamadani, S Behal, L Alkulaib, CT Lu | | 2023 |
| The Efficacy of PRISTINE: Revealing Concealed Opioid Crisis Trends via Reddit Examination A Alhamadani, S Sarkar, S Behal, L Alkulaib, CT Lu | | 2023 |
| Twitter Bots Multiclass Classification Using Bot-Like Behavior Features. LA AlKulaib The George Washington University, 2018 | | 2018 |
