| Clustering using firefly algorithm: Performance study J Senthilnath, SN Omkar, V Mani Swarm and Evolutionary Computation 1 (3), 164-171, 2011 | 619 | 2011 |
| Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures SN Omkar, J Senthilnath, R Khandelwal, GN Naik, S Gopalakrishnan Applied Soft Computing 11 (1), 489-499, 2011 | 411 | 2011 |
| Integrated phenology and climate in rice yields prediction using machine learning methods Y Guo, Y Fu, F Hao, X Zhang, W Wu, X Jin, CR Bryant, J Senthilnath Ecological Indicators 120, 106935, 2021 | 202 | 2021 |
| Exploration of scaling effects on coarse resolution land surface phenology X Zhang, J Wang, F Gao, Y Liu, C Schaaf, M Friedl, Y Yu, J Senthilnath, ... Remote Sensing of Environment 190, 318-330, 2017 | 194 | 2017 |
| Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery X Zhang, J Senthilnath, L Liu, MA Friedl, GM Henebry, Y Liu, CB Schaaf, ... Agricultural and Forest Meteorology 256, 137-149, 2018 | 181 | 2018 |
| Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV J Senthilnath, A Dokania, M Kandukuri, KN Ramesh, G Anand, SN Omkar Biosystems engineering 146, 16-32, 2016 | 166 | 2016 |
| Multi-uav oxyrrhis marina-inspired search and dynamic formation control for forest firefighting K Harikumar, J Senthilnath, S Sundaram IEEE Transactions on Automation Science and Engineering 16 (2), 863-873, 2019 | 163 | 2019 |
| Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods J Senthilnath, M Kandukuri, A Dokania, KN Ramesh Computers and Electronics in Agriculture 140, 8-24, 2017 | 161 | 2017 |
| Generation and evaluation of the VIIRS land surface phenology product X Zhang, L Liu, Y Liu, J Senthilnath, J Wang, M Moon, GM Henebry, ... Remote Sensing of Environment 216, 212-229, 2018 | 136 | 2018 |
| Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform Y Guo, J Senthilnath, W Wu, X Zhang, Z Zeng, H Huang Sustainability 11 (4), 978, 2019 | 135 | 2019 |
| Two-step machine learning enables optimized nanoparticle synthesis F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ... npj Computational Materials, Nature Publishing Group 7 (1), 1-10, 2021 | 127 | 2021 |
| A novel approach for multispectral satellite image classification based on the bat algorithm J Senthilnath, S Kulkarni, JA Benediktsson, XS Yang IEEE Geoscience and remote sensing letters 13 (4), 599-603, 2016 | 123 | 2016 |
| An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ... Matter, Cell Press 5 (1), 314-335, 2022 | 119 | 2022 |
| Detection of the power lines in UAV remote sensed images using spectral-spatial methods R Bhola, NH Krishna, KN Ramesh, J Senthilnath, G Anand Journal of environmental management 206, 1233-1242, 2018 | 102 | 2018 |
| Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning M Rautela, J Senthilnath, J Moll, S Gopalakrishnan Ultrasonics 115, 106451, 2021 | 96 | 2021 |
| Clustering Using Levy Flight Cuckoo Search J Senthilnath, V Das, SN Omkar, V Mani Proceedings of Seventh International Conference on Bio-Inspired Computing …, 2013 | 95 | 2013 |
| Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images Y Guo, S Chen, X Li, M Cunha, J Senthilnath, D Cammarano, Y Fu Remote Sensing 14 (6), 1337, 2022 | 92 | 2022 |
| Modified red blue vegetation index for chlorophyll estimation and yield prediction of maize from visible images captured by UAV Y Guo, H Wang, Z Wu, S Wang, H Sun, J Senthilnath, J Wang, ... Sensors 20 (18), 5055, 2020 | 79 | 2020 |
| Crop classification using biologically-inspired techniques with high resolution satellite image SN Omkar, J Senthilnath, D Mudigere, MM Kumar Journal of the Indian Society of Remote Sensing 36 (2), 175-182, 2008 | 79 | 2008 |
| Scaling effects on chlorophyll content estimations with RGB camera mounted on a UAV platform using machine-learning methods Y Guo, G Yin, H Sun, H Wang, S Chen, J Senthilnath, J Wang, Y Fu Sensors 20 (18), 5130, 2020 | 77 | 2020 |
