| Sustainability in ultra precision and micro machining: A review F Schneider, J Das, B Kirsch, B Linke, JC Aurich International Journal of Precision Engineering and Manufacturing-Green …, 2019 | 81 | 2019 |
| Evaluation and systematic selection of significant multi-scale surface roughness parameters (SRPs) as process monitoring index J Das, B Linke Journal of Materials Processing Technology 244, 157-165, 2017 | 43 | 2017 |
| Sustainability indicators for finishing operations based on process performance and part quality B Linke, J Das, M Lam, C Ly Procedia CIRP 14, 564-569, 2014 | 37 | 2014 |
| Capture and detection of T7 bacteriophages on a nanostructured interface JH Han, MS Wang, J Das, L Sudheendra, E Vonasek, N Nitin, IM Kennedy ACS applied materials & interfaces 6 (7), 4758-4765, 2014 | 35 | 2014 |
| Effect of Manual Grinding Operations on Surface Integrity J Das, B Linke Procedia CIRP 45, 95-98, 2016 | 26 | 2016 |
| Sustainability analysis of grinding with power tools K Odum, MC Castillo, J Das, B Linke Procedia CIRP 14, 570-574, 2014 | 16 | 2014 |
| Effects of vibratory finishing of 304 stainless steel samples on areal roughness parameters: a correlational analysis for anisotropy parameters M Eifler, IC Garretson, BS Linke, J Das, F Torner, J Seewig Journal of Materials Processing Technology 273, 116256, 2019 | 15 | 2019 |
| Digitalization of human operations in the age of cyber manufacturing: Sensorimotor analysis of manual grinding performance GL Bales, J Das, J Tsugawa, B Linke, Z Kong Journal of Manufacturing Science and Engineering 139 (10), 101011, 2017 | 15 | 2017 |
| Deep learning models for predicting gas adsorption capacity of nanomaterials W Guo, J Liu, F Dong, R Chen, J Das, W Ge, X Xu, H Hong Nanomaterials 12 (19), 3376, 2022 | 14 | 2022 |
| Aesthetics and gloss of ground surfaces: a review on measurement and generation B Linke, J Das Journal of Manufacturing Science and Engineering 138 (6), 064501, 2016 | 13 | 2016 |
| Integrating operator information for manual grinding and characterization of process performance based on operator profile J Das, GL Bales, Z Kong, B Linke Journal of Manufacturing Science and Engineering 140 (8), 081011, 2018 | 12 | 2018 |
| Recognizing Gaze-Motor Behavioral Patterns in Manual Grinding Tasks G Bales, J Das, B Linke, Z Kong Procedia Manufacturing 5, 106-121, 2016 | 8 | 2016 |
| An insight into surface topographical parameters and bacterial adhesion: A case study of Listeria monocytogenes Scott a attachment on 304 stainless steel J Das, JA Chase, ML Partyka, ER Atwill, B Linke Journal of food protection 83 (3), 426-433, 2020 | 5 | 2020 |
| Fundamental analysis of the usability of an angle-resolved scattered light sensor for monitoring vibratory finishing processes based on ray tracing simulations FM Torner, J Das, G Stelzer, B Linke, J Seewig Applied Mechanics and Materials 869, 115-127, 2017 | 5 | 2017 |
| New data-driven sensorimotor analysis for manual grinding performance G Bales, J Das, J Tsugawa, B Linke, Z Kong Journal of Manufacturing Science and Engineering, submitted, 0 | 1 | |
| Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials. Nanomaterials 2022, 12, 3376 W Guo, J Liu, F Dong, R Chen, J Das, W Ge, X Xu, H Hong s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| Evaluation and systematic selection of significant multi-scale surface roughness parameters J Das, B Linke | | 2017 |
| A Knowledge-driven Approach Towards Digitization of Manual Grinding Operations and Optimization of Process-induced Surface Integrity J Das University of California, Davis, 2017 | | 2017 |
