| Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches MM Rahaman, C Li, Y Yao, F Kulwa, MA Rahman, Q Wang, S Qi, F Kong, ... Journal of X-ray Science and Technology 28 (5), 821-839, 2020 | 353 | 2020 |
| A comprehensive review for breast histopathology image analysis using classical and deep neural networks X Zhou, C Li, MM Rahaman, Y Yao, S Ai, C Sun, Q Wang, Y Zhang, M Li, ... IEEE Access 8, 90931-90956, 2020 | 195 | 2020 |
| Agile convolutional neural network for pulmonary nodule classification using CT images X Zhao, L Liu, S Qi, Y Teng, J Li, W Qian International journal of computer assisted radiology and surgery 13, 585-595, 2018 | 194 | 2018 |
| Flow boiling of liquid nitrogen in micro-tubes: Part II–Heat transfer characteristics and critical heat flux SL Qi, P Zhang, RZ Wang, LX Xu International journal of heat and mass transfer 50 (25-26), 5017-5030, 2007 | 184 | 2007 |
| Flow boiling of liquid nitrogen in micro-tubes: Part I–The onset of nucleate boiling, two-phase flow instability and two-phase flow pressure drop SL Qi, P Zhang, RZ Wang, LX Xu International journal of heat and mass transfer 50 (25-26), 4999-5016, 2007 | 144 | 2007 |
| An application of transfer learning and ensemble learning techniques for cervical histopathology image classification D Xue, X Zhou, C Li, Y Yao, MM Rahaman, J Zhang, H Chen, J Zhang, ... IEEE Access 8, 104603-104618, 2020 | 140 | 2020 |
| A survey for cervical cytopathology image analysis using deep learning MM Rahaman, C Li, X Wu, Y Yao, Z Hu, T Jiang, X Li, S Qi IEEE Access 8, 61687-61710, 2020 | 137 | 2020 |
| Detection and classification of pulmonary nodules using convolutional neural networks: a survey P Monkam, S Qi, H Ma, W Gao, Y Yao, W Qian Ieee Access 7, 78075-78091, 2019 | 132 | 2019 |
| Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset M Xu, S Qi, Y Yue, Y Teng, L Xu, Y Yao, W Qian Biomedical engineering online 18, 1-21, 2019 | 127 | 2019 |
| The influence of construction methodology on structural brain network measures: A review S Qi, S Meesters, K Nicolay, BM ter Haar Romeny, P Ossenblok Journal of neuroscience methods 253, 170-182, 2015 | 110 | 2015 |
| Deep learning in medical ultrasound image analysis: a review Y Wang, X Ge, H Ma, S Qi, G Zhang, Y Yao IEEE Access 9, 54310-54324, 2021 | 107 | 2021 |
| Ensemble learners of multiple deep CNNs for pulmonary nodules classification using CT images B Zhang, S Qi, P Monkam, C Li, F Yang, YD Yao, W Qian IEEE Access 7, 110358-110371, 2019 | 101 | 2019 |
| Single-phase pressure drop and heat transfer characteristics of turbulent liquid nitrogen flow in micro-tubes SL Qi, P Zhang, RZ Wang, LX Xu International journal of heat and mass transfer 50 (9-10), 1993-2001, 2007 | 92 | 2007 |
| A review for cervical histopathology image analysis using machine vision approaches C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi, H Ma, L Zhang, H Sun Artificial Intelligence Review 53, 4821-4862, 2020 | 84 | 2020 |
| Brain–computer interface speller based on steady-state visual evoked potential: A review focusing on the stimulus paradigm and performance M Li, D He, C Li, S Qi Brain sciences 11 (4), 450, 2021 | 80 | 2021 |
| A state-of-the-art survey for microorganism image segmentation methods and future potential F Kulwa, C Li, X Zhao, B Cai, N Xu, S Qi, S Chen, Y Teng Ieee Access 7, 100243-100269, 2019 | 79 | 2019 |
| Content-based image retrieval for lung nodule classification using texture features and learned distance metric G Wei, H Cao, H Ma, S Qi, W Qian, Z Ma Journal of medical systems 42, 1-7, 2018 | 77 | 2018 |
| An optimized framework for breast cancer classification using machine learning E Michael, H Ma, H Li, S Qi BioMed Research International 2022 (1), 8482022, 2022 | 74 | 2022 |
| Visualization of flow boiling of liquid nitrogen in a vertical mini-tube X Fu, SL Qi, P Zhang, RZ Wang International journal of multiphase flow 34 (4), 333-351, 2008 | 74 | 2008 |
| Deep CNN models for pulmonary nodule classification: model modification, model integration, and transfer learning X Zhao, S Qi, B Zhang, H Ma, W Qian, Y Yao, J Sun Journal of X-ray Science and Technology 27 (4), 615-629, 2019 | 65 | 2019 |
