Using deep transfer learning for image-based plant disease identification J Chen, J Chen, D Zhang, Y Sun, YA Nanehkaran Computers and electronics in agriculture 173, 105393, 2020 | 906 | 2020 |
Detection of rice plant diseases based on deep transfer learning J Chen, D Zhang, YA Nanehkaran, D Li Journal of the Science of Food and Agriculture 100 (7), 3246-3256, 2020 | 246 | 2020 |
Identification of rice plant diseases using lightweight attention networks J Chen, D Zhang, A Zeb, YA Nanehkaran Expert Systems with Applications 169, 114514, 2021 | 208 | 2021 |
Recognition of plant leaf diseases based on computer vision YA Nanehkaran, D Zhang, J Chen, Y Tian, N Al-Nabhan Journal of Ambient Intelligence and Humanized Computing, 1-18, 2020 | 119 | 2020 |
Attention embedded lightweight network for maize disease recognition J Chen, W Wang, D Zhang, A Zeb, YA Nanehkaran Plant Pathology 70 (3), 630-642, 2021 | 107 | 2021 |
Identifying plant diseases using deep transfer learning and enhanced lightweight network J Chen, D Zhang, YA Nanehkaran Multimedia tools and applications 79, 31497-31515, 2020 | 97 | 2020 |
Identification of plant disease images via a squeeze‐and‐excitation MobileNet model and twice transfer learning J Chen, D Zhang, M Suzauddola, YA Nanehkaran, Y Sun IET Image Processing 15 (5), 1115-1127, 2021 | 96 | 2021 |
Identifying crop diseases using attention embedded MobileNet-V2 model J Chen, D Zhang, M Suzauddola, A Zeb Applied Soft Computing 113, 107901, 2021 | 91 | 2021 |
Lightweight inception networks for the recognition and detection of rice plant diseases J Chen, W Chen, A Zeb, S Yang, D Zhang IEEE Sensors Journal 22 (14), 14628-14638, 2022 | 90 | 2022 |
Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable development goals YA Nanehkaran, B Chen, A Cemiloglu, J Chen, S Anwar, M Azarafza, ... Water 15 (15), 2707, 2023 | 85 | 2023 |
Comparative analysis for slope stability by using machine learning methods YA Nanehkaran, Z Licai, J Chengyong, J Chen, S Anwar, M Azarafza, ... Applied Sciences 13 (3), 1555, 2023 | 79 | 2023 |
A self-adaptive classification method for plant disease detection using GMDH-Logistic model J Chen, H Yin, D Zhang Sustainable Computing: Informatics and Systems 28, 100415, 2020 | 73 | 2020 |
Application of machine learning techniques for the estimation of the safety factor in slope stability analysis Y Ahangari Nanehkaran, T Pusatli, J Chengyong, J Chen, A Cemiloglu, ... Water 14 (22), 3743, 2022 | 68 | 2022 |
Complex graph convolutional network for link prediction in knowledge graphs A Zeb, S Saif, J Chen, AU Haq, Z Gong, D Zhang Expert systems with applications 200, 116796, 2022 | 63 | 2022 |
A cognitive vision method for the detection of plant disease images J Chen, J Chen, D Zhang, YA Nanehkaran, Y Sun Machine Vision and Applications 32 (1), 31, 2021 | 53 | 2021 |
Mobile convolution neural network for the recognition of potato leaf disease images DZ Weirong Chen, Junde Chen, Adnan Zeb, Shuangyuan Yang Multimedia Tools and Applications, 2022 | 52 | 2022 |
Crop pest recognition using attention-embedded lightweight network under field conditions J Chen, W Chen, A Zeb, D Zhang, YA Nanehkaran Applied entomology and zoology 56 (4), 427-442, 2021 | 52 | 2021 |
Stacking ensemble model of deep learning for plant disease recognition J Chen, A Zeb, YA Nanehkaran, D Zhang Journal of Ambient Intelligence and Humanized Computing 14 (9), 12359-12372, 2023 | 51 | 2023 |
Analysis and comparison of machine learning classifiers and deep neural networks techniques for recognition of Farsi handwritten digits YA Nanehkaran, D Zhang, S Salimi, J Chen, Y Tian, N Al-Nabhan The Journal of Supercomputing 77, 3193-3222, 2021 | 44 | 2021 |
Multiscale attention networks for pavement defect detection J Chen, Y Wen, YA Nanehkaran, D Zhang, A Zeb IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023 | 37 | 2023 |