| Deep learning--based text classification: a comprehensive review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao ACM computing surveys (CSUR) 54 (3), 1-40, 2021 | 2501 | 2021 |
| Large language models: A survey S Minaee, T Mikolov, N Nikzad, M Chenaghlu, R Socher, X Amatriain, ... arXiv preprint arXiv:2402.06196, 2024 | 1828 | 2024 |
| The state-of-the-art in expert recommendation systems N Nikzad–Khasmakhi, MA Balafar, MR Feizi–Derakhshi Engineering Applications of Artificial Intelligence 82, 126-147, 2019 | 97 | 2019 |
| A novel keyed parallel hashing scheme based on a new chaotic system MA Chenaghlu, S Jamali, NN Khasmakhi Chaos, Solitons & Fractals 87, 216-225, 2016 | 73 | 2016 |
| Text-based automatic personality prediction: a bibliographic review AR Feizi-Derakhshi, MR Feizi-Derakhshi, M Ramezani, ... Journal of Computational Social Science 5 (2), 1555-1593, 2022 | 50* | 2022 |
| Cy: Chaotic yolo for user intended image encryption and sharing in social media M Asgari-Chenaghlu, MR Feizi-Derakhshi, N Nikzad-Khasmakhi, ... Information Sciences 542, 212-227, 2021 | 46 | 2021 |
| Automatic personality prediction: an enhanced method using ensemble modeling M Ramezani, MR Feizi-Derakhshi, MA Balafar, M Asgari-Chenaghlu, ... Neural Computing and Applications 34 (21), 18369-18389, 2022 | 43 | 2022 |
| BERTERS: Multimodal representation learning for expert recommendation system with transformers and graph embeddings N Nikzad-Khasmakhi, MA Balafar, MR Feizi-Derakhshi, C Motamed Chaos, Solitons & Fractals 151, 111260, 2021 | 42* | 2021 |
| Covid-transformer: Detecting trending topics on twitter using universal sentence encoder M Asgari-Chenaghlu, N Nikzad-Khasmakhi, S Minaee | 42* | 2020 |
| Phraseformer: Multimodal key-phrase extraction using transformer and graph embedding N Nikzad-Khasmakhi, MR Feizi-Derakhshi, M Asgari-Chenaghlu, ... arXiv preprint arXiv:2106.04939, 2021 | 37 | 2021 |
| Multimodal price prediction A Zehtab-Salmasi, AR Feizi-Derakhshi, N Nikzad-Khasmakhi, ... Annals of Data Science 10 (3), 619-635, 2023 | 24 | 2023 |
| ExEm: Expert embedding using dominating set theory with deep learning approaches N Nikzad-Khasmakhi, M Balafar, MR Feizi-Derakhshi, C Motamed Expert Systems with Applications 177, 114913, 2021 | 24 | 2021 |
| A model to measure the spread power of rumors Z Jahanbakhsh-Nagadeh, MR Feizi-Derakhshi, M Ramezani, T Akan, ... Journal of Ambient Intelligence and Humanized Computing 14 (10), 13787-13811, 2023 | 22 | 2023 |
| Sepehr_RumTel01, Mendeley Data, V1 AR Feizi Derakhshi, MR Feizi Derakhshi, NKN Ranjbar Khadivi M, ... | 17 | 2019 |
| Text simplification of scientific texts for non-expert readers B Engelmann, F Haak, CK Kreutz, NN Khasmakhi, P Schaer arXiv preprint arXiv:2307.03569, 2023 | 14 | 2023 |
| Fact vs. Fiction: Are the Reportedly “Magical” LLM-Based Recommenders Reproducible? S Tahmasebi, N Nikzad, AH Payberah, M Asgari-chenaghlu, M Matskin European Conference on Information Retrieval, 79-94, 2025 | 2 | 2025 |
| The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs ATM Bui, SF Brech, N Hußfeldt, T Jennert, M Ullrich, T Breuer, ... Notebook for the ELOQUENT Lab at CLEF 2024, 2024 | 2 | 2024 |
| ConvGenVisMo: Evaluation of Conversational Generative Vision Models NN Khasmakhi, M Asgari-Chenaghlu, N Asghar, P Schaer, D Zühlke AI & HCI Workshop at the 40th International Conference on Machine Learning …, 2023 | 2 | 2023 |
| Variants of knowledge-based chatbots in family caregiving ΓÇô human evaluation and comparison I Nowak, N Nikzad-Khasmakhi, DA Kring, T Gr, J Steinborn, I Zorn ISG2026 Abstract Submission System 23 (2), 2024 | 1 | 2024 |
| Revolutionizing textual data insights: A comprehensive review of the dual relationship between transformers and clustering in textual data analysis NP Aghayengejeh, MA Balafar, NN Khasmakhi Computer Science Review 58, 100792, 2025 | | 2025 |
Meysam Asgari-ChenaghluZendesk, Germany, BerlinVerified email at ultimate.ai
