| Fabric defect detection based on multiple fractal features and support vector data description H Bu, J Wang, X Huang Engineering Applications of Artificial Intelligence 22 (2), 224-235, 2009 | 157 | 2009 |
| Active-optical sensors using red NDVI compared to red edge NDVI for prediction of corn grain yield in North Dakota, USA LK Sharma, H Bu, A Denton, DW Franzen Sensors 15 (11), 27832-27853, 2015 | 132 | 2015 |
| Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors LK Sharma, H Bu, DW Franzen, A Denton Computers and Electronics in Agriculture 124, 254-262, 2016 | 65 | 2016 |
| Detection of fabric defects by auto-regressive spectral analysis and support vector data description HG Bu, XB Huang, J Wang, X Chen Textile Research Journal 80 (7), 579-589, 2010 | 63 | 2010 |
| Comparison of satellite imagery and ground‐based active optical sensors as yield predictors in sugar beet, spring wheat, corn, and sunflower H Bu, LK Sharma, A Denton, DW Franzen Agronomy Journal 109 (1), 299-308, 2017 | 60 | 2017 |
| Response of sunflower to nitrogen and phosphorus in North Dakota E Schultz, T DeSutter, L Sharma, G Endres, R Ashley, H Bu, S Markell, ... Agronomy Journal 110 (2), 685-695, 2018 | 49 | 2018 |
| Sugar beet yield and quality prediction at multiple harvest dates using active‐optical sensors H Bu, LK Sharma, A Denton, DW Franzen Agronomy Journal 108 (1), 273-284, 2016 | 32 | 2016 |
| Active Optical Sensor Algorithms for Corn Yield Prediction and a Corn Side-dress Nitrogen Rate Aid DW Franzen, LK Sharma, H Bu NDSU Circular SF1176-5, NDSU Extension Service Fargo, 2014 | 27 | 2014 |
| Evidence for the ability of active‐optical sensors to detect sulfur deficiency in corn DW Franzen, LK Sharma, H Bu, A Denton Agronomy Journal 108 (5), 2158-2162, 2016 | 18 | 2016 |
| Comparison of two ground-based active-optical sensors for in-season estimation of corn (Zea mays, L.) yield LK Sharma, H Bu, DW Franzen Journal of Plant Nutrition 39 (7), 957-966, 2016 | 17 | 2016 |
| Fabric Defect Detection Using a Hybrid and Complementary Fractal Feature Vector and FCM-based Novelty Detector J Zhou, J Wang, H Bu Fibres and Textiles in Eastern Europe 25 (6), 46-52, 2017 | 14 | 2017 |
| Adaptive scheduling of smart home appliances using fuzzy goal programming H Bu, K Nygard The Sixth International Conference on Adaptive and Self-Adaptive Systems and …, 2014 | 11 | 2014 |
| Mechanical analysis on changing cross-sectional segment of fibre band in condensing zone in compact spinning J Wang, JP Yang, HG Bu, T Fu, Q Xi, SP Zhou The Journal of The Textile Institute 100 (5), 451-456, 2009 | 11 | 2009 |
| A novel multiple fractal features extraction framework and its application to the detection of fabric defects H Bu, X Huang Journal of the Textile Institute 99 (5), 489-497, 2008 | 9 | 2008 |
| A practical and robust way to the optimization of parameters in RBF kernel-based one-class classification support vector methods H Bu, J Wang, X Huang 2009 Fifth International Conference on Natural Computation 1, 445-449, 2009 | 7 | 2009 |
| North Dakota clay mineralogy impacts crop potassium nutrition and tillage systems DW Franzen, H Bu NDSU Extension, 1-12, 2018 | 6 | 2018 |
| Mechanical analysis on constant cross-section segment of fiber band in condensing zone during compact spinning J Yang, J Wang, H Bu, T Fu, Q Xi, S Zhou Journal of the Textile Institute 103 (2), 117-123, 2012 | 6 | 2012 |
| Yield and quality prediction using satellite passive imagery and ground-based active optical sensors in sugar beet, spring wheat, corn, and sunflower H Bu Master Thesis, Soil Science Department, North Dakota State University, 2014 | 5 | 2014 |
| Sunflower type influences yield prediction using active optical sensors DW Franzen, EC Schultz, TM DeSutter, LK Sharma, R Ashley, H Bu Agronomy journal 111 (2), 881-888, 2019 | 4 | 2019 |
| Relationship of Active-Optical Sensor Readings With Sugarbeet Yield and Quality, Sunflower Yield and Spring Wheat Grain Protein. DW Franzen, H Bu, L Sharma ASA, CSSA and SSSA International Annual Meetings (2013), 2013 | 3 | 2013 |
