| Computer vision detection of foreign objects in coal processing using attention CNN K Zhang, W Wang, Z Lv, Y Fan, Y Song Engineering Applications of Artificial Intelligence 102, 104242, 2021 | 79 | 2021 |
| Cascade network for detection of coal and gangue in the production context Z Lv, W Wang, Z Xu, K Zhang, H Lv Powder technology 377, 361-371, 2021 | 47 | 2021 |
| Research on methods to differentiate coal and gangue using image processing and a support vector machine W Wang, Z Lv, H Lu International Journal of Coal Preparation and Utilization, 2018 | 44 | 2018 |
| Fine-grained object detection method using attention mechanism and its application in coal–gangue detection Z Lv, W Wang, Z Xu, K Zhang, Y Fan, Y Song Applied Soft Computing 113, 107891, 2021 | 33 | 2021 |
| Effect of ultrasonic standing waves on flotation bubbles L Jin, W Wang, Y Tu, K Zhang, Z Lv Ultrasonics Sonochemistry 73, 105459, 2021 | 23 | 2021 |
| A synchronous detection-segmentation method for oversized gangue on a coal preparation plant based on multi-task learning Z Lv, W Wang, K Zhang, W Li, J Feng, Z Xu Minerals Engineering 187, 107806, 2022 | 17 | 2022 |
| A CNN-based regression framework for estimating coal ash content on microscopic images K Zhang, W Wang, Z Lv, L Jin, D Liu, M Wang, Y Lv Measurement 189, 110589, 2022 | 16 | 2022 |
| Slurry-ability mathematical modeling of microwave-modified lignite: A comparative analysis of multivariate non-linear regression model and XGBoost algorithm model Y Ren, Z Lv, Z Xu, Q Wang, Z Wang Energy 281, 128143, 2023 | 5 | 2023 |
| Research on recognition of coal and gangue based on laser speckle images H Li, Q Wang, L Ling, Z Lv, Y Liu, M Jiao Sensors 23 (22), 9113, 2023 | 4 | 2023 |
| Exploring the effect of various factors for ash content estimation via ensemble learning: Color-texture features, particle size, and magnification Y Cui, K Zhang, Z Lv, H Li, S Song, C Zhang, W Wang, Z Xu Minerals Engineering 201, 108212, 2023 | 4 | 2023 |
| LKDPNet: Large-Kernel Depthwise-Pointwise convolution neural network in estimating coal ash content via data augmentation K Zhang, W Wang, Z Lv, J Feng, H Li, C Zhang Applied Soft Computing 144, 110471, 2023 | 3 | 2023 |
| A density map regression method and its application in the coal flotation froth image analysis Y Fan, Z Lv, W Wang, R Tian, K Zhang, M Wang, C Zhang, Z Xu Measurement 205, 112212, 2022 | 3 | 2022 |
| A real-time analysis system for filtrate state in plate-and-frame filter press process based on the machine vision Y Cui, Z Lv, W Wang, K Zhang, W Li, X Zhao, Z Xu Measurement 202, 111884, 2022 | 3 | 2022 |
| GFNet: A pioneering approach for precisely estimating ash content in coal through the fusion of graph convolution and feedforward network K Zhang, W Wang, Y Cui, Z Lv, Y Fan Engineering Applications of Artificial Intelligence 127, 107301, 2024 | 1 | 2024 |
| Investigating comparisons on the coal and gangue in various scenarios using multidimensional image features Z Lv, Y Cui, K Zhang, M Sun, H Li, W Wang Minerals Engineering 204, 108450, 2023 | 1 | 2023 |
| Qualitative classification of waste garments for textile recycling based on machine vision and attention mechanisms R Tian, Z Lv, Y Fan, T Wang, M Sun, Z Xu Waste Management 183, 74-86, 2024 | | 2024 |
| Deep learning-based estimation of ash content in coal: Unveiling the contributions of color and texture features K Zhang, W Wang, Y Cui, Z Lv, Y Fan, X Zhao Measurement 233, 114632, 2024 | | 2024 |
| A high-confidence instance boundary regression approach and its application in coal-gangue separation Z Lv, W Wang, K Zhang, R Tian, Y Lv, M Sun, Z Xu Engineering Applications of Artificial Intelligence 132, 107894, 2024 | | 2024 |
| Celestial frame tie from simulations using phase referencing to GNSS satellites L Liu, R Heinkelmann, T Liu, J Liu, M Sun, B Zhang, Y Ma, J Li, Z Lv, ... Astronomy & Astrophysics 671, A6, 2023 | | 2023 |
