| The FERET evaluation methodology for face-recognition algorithms PJ Phillips, H Moon, SA Rizvi, PJ Rauss IEEE Transactions on pattern analysis and machine intelligence 22 (10), 1090 …, 2000 | 6692 | 2000 |
| Computational and performance aspects of PCA-based face-recognition algorithms H Moon, PJ Phillips Perception 30 (3), 303-321, 2001 | 720 | 2001 |
| A survey on internet of things and cloud computing for healthcare LM Dang, MJ Piran, D Han, K Min, H Moon Electronics 8 (7), 768, 2019 | 614 | 2019 |
| Sensor-based and vision-based human activity recognition: A comprehensive survey LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon Pattern Recognition 108, 107561, 2020 | 498 | 2020 |
| Deep learning approach for short-term stock trends prediction based on two-stream gated recurrent unit network DL Minh, A Sadeghi-Niaraki, HD Huy, K Min, H Moon Ieee Access 6, 55392-55404, 2018 | 254 | 2018 |
| The FERET verification testing protocol for face recognition algorithms SA Rizvi, PJ Phillips, H Moon Proceedings third IEEE international conference on automatic face and …, 1998 | 242 | 1998 |
| Crop pest recognition in natural scenes using convolutional neural networks Y Li, H Wang, LM Dang, A Sadeghi-Niaraki, H Moon Computers and Electronics in Agriculture 169, 105174, 2020 | 188 | 2020 |
| Background information of deep learning for structural engineering S Lee, J Ha, M Zokhirova, H Moon, J Lee Archives of Computational Methods in Engineering 25, 121-129, 2018 | 148 | 2018 |
| Underground sewer pipe condition assessment based on convolutional neural networks SI Hassan, LM Dang, I Mehmood, S Im, C Choi, J Kang, YS Park, H Moon Automation in Construction 106, 102849, 2019 | 138 | 2019 |
| Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in smart cities M Sajjad, S Khan, Z Jan, K Muhammad, H Moon, JT Kwak, S Rho, ... IEEE Access 5, 3475-3489, 2016 | 124 | 2016 |
| Analysis of PCA-based face recognition algorithms H Moon Empirical Evaluation Techniques in Computer Vision, 1998, 57-71, 1998 | 124 | 1998 |
| Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles JG Ha, H Moon, JT Kwak, SI Hassan, M Dang, ON Lee, HY Park Journal of Applied Remote Sensing 11 (4), 042621-042621, 2017 | 118 | 2017 |
| Face image manipulation detection based on a convolutional neural network LM Dang, SI Hassan, S Im, H Moon Expert Systems with Applications 129, 156-168, 2019 | 104 | 2019 |
| The feret evaluation PJ Phillips, H Moon, S Rizvi, P Rauss Face Recognition: From Theory to Applications, 244-261, 1998 | 98 | 1998 |
| Plant disease detection in imbalanced datasets using efficient convolutional neural networks with stepwise transfer learning M Ahmad, M Abdullah, H Moon, D Han IEEE Access 9, 140565-140580, 2021 | 97 | 2021 |
| A deep learning-based hybrid framework for object detection and recognition in autonomous driving Y Li, H Wang, LM Dang, TN Nguyen, D Han, A Lee, I Jang, H Moon IEEE Access 8, 194228-194239, 2020 | 96 | 2020 |
| The FERET september 1996 database and evaluation procedure PJ Phillips, H Moon, P Rauss, SA Rizvi International Conference on Audio-and Video-Based Biometric Person …, 1997 | 78 | 1997 |
| A verification protocol and statistical performance analysis for face recognition algorithms SA Rizvi, PJ Phillips, H Moon Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and …, 1998 | 70 | 1998 |
| UAV based wilt detection system via convolutional neural networks LM Dang, SI Hassan, I Suhyeon, A kumar Sangaiah, I Mehmood, S Rho, ... Sustainable Computing: Informatics and Systems 28, 100250, 2020 | 69 | 2020 |
| Deep learning based computer generated face identification using convolutional neural network LM Dang, SI Hassan, S Im, J Lee, S Lee, H Moon Applied Sciences 8 (12), 2610, 2018 | 61 | 2018 |
