| Natural Language Processing Applied to Mental Illness Detection: A Narrative Review T Zhang, A Schoene, S Ji, S Ananiadou npj Digital Medicine 5 (46), 2022 | 260 | 2022 |
| Mentalbert: Publicly available pretrained language models for mental healthcare S Ji, T Zhang, L Ansari, J Fu, P Tiwari, E Cambria LREC 2022, 2021 | 254 | 2021 |
| Deep learning for drug–drug interaction extraction from the literature: a review T Zhang, J Leng, Y Liu Briefings in bioinformatics 21 (5), 1609-1627, 2020 | 113 | 2020 |
| Towards interpretable mental health analysis with large language models K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou arXiv preprint arXiv:2304.03347, 2023 | 83 | 2023 |
| MentaLLaMA: interpretable mental health analysis on social media with large language models K Yang, T Zhang, Z Kuang, Q Xie, J Huang, S Ananiadou Proceedings of the ACM on Web Conference 2024, 4489-4500, 2024 | 77 | 2024 |
| A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media K Yang, T Zhang, S Ananiadou Information Processing & Management 59 (4), 102961, 2022 | 72 | 2022 |
| On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis K Yang, S Ji, T Zhang, Q Xie, S Ananiadou arXiv preprint arXiv:2304.03347, 2023 | 69 | 2023 |
| Robust obstacle detection and recognition for driver assistance systems J Leng, Y Liu, D Du, T Zhang, P Quan IEEE transactions on intelligent transportation systems 21 (4), 1560-1571, 2019 | 55 | 2019 |
| Emotion fusion for mental illness detection from social media: A survey T Zhang, K Yang, S Ji, S Ananiadou Information Fusion 92, 231-246, 2023 | 51 | 2023 |
| SKNet: Detecting rotated ships as keypoints in optical remote sensing images Z Cui, J Leng, Y Liu, T Zhang, P Quan, W Zhao IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8826-8840, 2021 | 49 | 2021 |
| Automatic identification of suicide notes with a transformer-based deep learning model T Zhang, AM Schoene, S Ananiadou Internet interventions 25, 100422, 2021 | 44 | 2021 |
| Cluster-level contrastive learning for emotion recognition in conversations K Yang, T Zhang, H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing 14 (4), 3269-3280, 2023 | 43 | 2023 |
| The finben: An holistic financial benchmark for large language models Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ... arXiv preprint arXiv:2402.12659, 2024 | 36 | 2024 |
| Alzheimer's disease diagnosis using enhanced inception network based on brain magnetic resonance image Z Cui, Z Gao, J Leng, T Zhang, P Quan, W Zhao 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 33 | 2019 |
| Domain-specific continued pretraining of language models for capturing long context in mental health S Ji, T Zhang, K Yang, S Ananiadou, E Cambria, J Tiedemann arXiv preprint arXiv:2304.10447, 2023 | 30 | 2023 |
| Emotion detection for misinformation: A review Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou Information Fusion, 102300, 2024 | 24 | 2024 |
| Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: comparative geolocation and text mining analysis H Alhuzali, T Zhang, S Ananiadou Journal of Medical Internet Research 24 (10), e40323, 2022 | 22 | 2022 |
| Context-aware u-net for biomedical image segmentation J Leng, Y Liu, T Zhang, P Quan, Z Cui 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 22 | 2018 |
| Automatic Chinese multiple-choice question generation for human resource performance appraisal P Quan, Y Shi, L Niu, Y Liu, T Zhang Procedia computer science 139, 165-172, 2018 | 22 | 2018 |
| Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis Z Liu, K Yang, Q Xie, T Zhang, S Ananiadou Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 21 | 2024 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningПотвърден имейл адрес: manchester.ac.uk
