| Recycling lithium-ion batteries from electric vehicles G Harper, R Sommerville, E Kendrick, L Driscoll, P Slater, R Stolkin, ... nature 575 (7781), 75-86, 2019 | 2640 | 2019 |
| Optimal AUV path planning for extended missions in complex, fast-flowing estuarine environments D Kruger, R Stolkin, A Blum, J Briganti Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 219 | 2007 |
| The visual object tracking vot2016 challenge results G Roffo, S Melzi Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 175* | 2016 |
| One-shot learning and generation of dexterous grasps for novel objects M Kopicki, R Detry, M Adjigble, R Stolkin, A Leonardis, JL Wyatt The International Journal of Robotics Research 35 (8), 959-976, 2016 | 160 | 2016 |
| Dynamic-context cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation Y Li, L Jiao, R Shang, R Stolkin Information Sciences 294, 408-422, 2015 | 140 | 2015 |
| An evolutionary multiobjective approach to sparse reconstruction L Li, X Yao, R Stolkin, M Gong, S He IEEE Transactions on Evolutionary Computation 18 (6), 827-845, 2013 | 134 | 2013 |
| Non-negative spectral learning and sparse regression-based dual-graph regularized feature selection R Shang, W Wang, R Stolkin, L Jiao IEEE transactions on cybernetics 48 (2), 793-806, 2017 | 129 | 2017 |
| SAR targets classification based on deep memory convolution neural networks and transfer parameters R Shang, J Wang, L Jiao, R Stolkin, B Hou, Y Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 120 | 2018 |
| A novel weakly-supervised approach for RGB-D-based nuclear waste object detection L Sun, C Zhao, Z Yan, P Liu, T Duckett, R Stolkin IEEE Sensors Journal 19 (9), 3487-3500, 2018 | 117 | 2018 |
| Dense connection and depthwise separable convolution based CNN for polarimetric SAR image classification R Shang, J He, J Wang, K Xu, L Jiao, R Stolkin Knowledge-Based Systems 194, 105542, 2020 | 109 | 2020 |
| Let's push things forward: A survey on robot pushing J Stüber, C Zito, R Stolkin Frontiers in Robotics and AI 7, 8, 2020 | 108 | 2020 |
| Region-sequence based six-stream CNN features for general and fine-grained human action recognition in videos M Ma, N Marturi, Y Li, A Leonardis, R Stolkin Pattern Recognition 76, 506-521, 2018 | 105 | 2018 |
| Dynamic grasp and trajectory planning for moving objects N Marturi, M Kopicki, A Rastegarpanah, V Rajasekaran, M Adjigble, ... Autonomous Robots 43, 1241-1256, 2019 | 98 | 2019 |
| Towards advanced robotic manipulation for nuclear decommissioning: A pilot study on tele-operation and autonomy N Marturi, A Rastegarpanah, C Takahashi, M Adjigble, R Stolkin, S Zurek, ... 2016 International Conference on Robotics and Automation for Humanitarian …, 2016 | 91 | 2016 |
| Multi-scale adaptive feature fusion network for semantic segmentation in remote sensing images R Shang, J Zhang, L Jiao, Y Li, N Marturi, R Stolkin Remote Sensing 12 (5), 872, 2020 | 90 | 2020 |
| Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks JCV Guerra, Z Khanam, S Ehsan, R Stolkin, K McDonald-Maier 2018 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), 305-310, 2018 | 86 | 2018 |
| A spatial fuzzy clustering algorithm with kernel metric based on immune clone for SAR image segmentation R Shang, P Tian, L Jiao, R Stolkin, J Feng, B Hou, X Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 85 | 2016 |
| Learning to predict how rigid objects behave under simple manipulation M Kopicki, S Zurek, R Stolkin, T Mörwald, J Wyatt 2011 IEEE international conference on robotics and automation, 5722-5729, 2011 | 84 | 2011 |
| Roadmap for a sustainable circular economy in lithium-ion and future battery technologies GDJ Harper, E Kendrick, PA Anderson, W Mrozik, P Christensen, ... Journal of Physics: Energy 5 (2), 021501, 2023 | 80 | 2023 |
| Subspace learning-based graph regularized feature selection R Shang, W Wang, R Stolkin, L Jiao Knowledge-Based Systems 112, 152-165, 2016 | 79 | 2016 |
Licheng JiaoDistinguished Professor of Xidian University, IEEE FellowEmail verificata su mail.xidian.edu.cn
