| 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 | 160 | 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 | 151 | 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 | 95 | 2020 |
| 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 | 46 | 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 | 44 | 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 | 42 | 2019 |
| 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 | 36 | 2021 |
| 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 | 27 | 2023 |
| Automatic identification of suicide notes with a transformer-based deep learning model T Zhang, AM Schoene, S Ananiadou Internet interventions 25, 100422, 2021 | 24 | 2021 |
| 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 | 23 | 2019 |
| 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 |
| 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 | 19 | 2022 |
| Mentalllama: Interpretable mental health analysis on social media with large language models K Yang, T Zhang, Z Kuang, Q Xie, S Ananiadou arXiv preprint arXiv:2309.13567, 2023 | 18 | 2023 |
| Cluster-level contrastive learning for emotion recognition in conversations K Yang, T Zhang, H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing, 2023 | 18 | 2023 |
| 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 | 18 | 2018 |
| Towards interpretable mental health analysis with large language models K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 15 | 2023 |
| Short-term traffic congestion forecasting using attention-based long short-term memory recurrent neural network T Zhang, Y Liu, Z Cui, J Leng, W Xie, L Zhang International Conference on Computational Science, 304-314, 2019 | 13 | 2019 |
| Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. H Alhuzali, T Zhang, S Ananiadou CLEF (Working Notes), 888-896, 2021 | 11 | 2021 |
| 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 | 10 | 2023 |
| A brief review of receptive fields in graph convolutional networks P Quan, Y Shi, M Lei, J Leng, T Zhang, L Niu IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume …, 2019 | 10 | 2019 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningEmail verificata su manchester.ac.uk
