| Dielectrophoretic separation of bioparticles in microdevices: A review TZ Jubery, SK Srivastava, P Dutta Electrophoresis 35 (5), 691-713, 2014 | 295 | 2014 |
| Computer vision and machine learning enabled soybean root phenotyping pipeline KG Falk, TZ Jubery, SV Mirnezami, KA Parmley, S Sarkar, A Singh, ... Plant methods 16, 1-19, 2020 | 118 | 2020 |
| 10000-fold concentration increase of the biomarker cardiac troponin I in a reducing union microfluidic chip using cationic isotachophoresis D Bottenus, TZ Jubery, Y Ouyang, WJ Dong, P Dutta, CF Ivory Lab on a Chip 11 (5), 890-898, 2011 | 92 | 2011 |
| Chemically modified solid state nanopores for high throughput nanoparticle separation AS Prabhu, TZN Jubery, KJ Freedman, R Mulero, P Dutta, MJ Kim Journal of Physics: Condensed Matter 22 (45), 454107, 2010 | 88 | 2010 |
| Shared Genetic Control of Root System Architecture between Zea mays and Sorghum bicolor Z Zheng, S Hey, T Jubery, H Liu, Y Yang, L Coffey, C Miao, B Sigmon, ... Plant physiology 182 (2), 977-991, 2020 | 77 | 2020 |
| Soybean root system architecture trait study through genotypic, phenotypic, and shape-based clusters KG Falk, TZ Jubery, JA O’Rourke, A Singh, S Sarkar, ... Plant Phenomics, 2020 | 64 | 2020 |
| Modeling and simulation of nanoparticle separation through a solid‐state nanopore TZ Jubery, AS Prabhu, MJ Kim, P Dutta Electrophoresis 33 (2), 325-333, 2012 | 53 | 2012 |
| Blood rheology in shear and uniaxial elongation A Kolbasov, PM Comiskey, RP Sahu, S Sinha-Ray, AL Yarin, BS Sikarwar, ... Rheologica Acta 55, 901-908, 2016 | 52 | 2016 |
| 10 000‐fold concentration increase in proteins in a cascade microchip using anionic ITP by a 3‐D numerical simulation with experimental results D Bottenus, TZ Jubery, P Dutta, CF Ivory Electrophoresis 32 (5), 550-562, 2011 | 45 | 2011 |
| Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP) TZ Jubery, CN Carley, A Singh, S Sarkar, B Ganapathysubramanian, ... Plant Phenomics 2021, 2021 | 39 | 2021 |
| High-throughput phenotyping in soybean AK Singh, A Singh, S Sarkar, B Ganapathysubramanian, W Schapaugh, ... High-throughput crop phenotyping, 129-163, 2021 | 38 | 2021 |
| A new design for efficient dielectrophoretic separation of cells in a microdevice TZ Jubery, P Dutta Electrophoresis 34 (5), 643-650, 2013 | 27 | 2013 |
| How useful is active learning for image-based plant phenotyping? K Nagasubramanian, TZ Jubery, FF Ardakani, SV Mirnezami, AK Singh, ... The Plant Phenome Journal, 2021 | 24 | 2021 |
| A new fabrication technique to form complex polymethylmethacrylate microchannel for bioseparation TZ Jubery, MR Hossan, DR Bottenus, CF Ivory, W Dong, P Dutta Biomicrofluidics 6 (1), 2012 | 22 | 2012 |
| A fast algorithm to predict cell trajectories in microdevices using dielectrophoresis TZ Jubery, P Dutta Numerical Heat Transfer, Part A: Applications 64 (2), 107-131, 2013 | 15 | 2013 |
| Deep learning powered real-time identification of insects using citizen science data S Chiranjeevi, M Sadaati, ZK Deng, J Koushik, TZ Jubery, D Mueller, ... arXiv preprint arXiv:2306.02507, 2023 | 14 | 2023 |
| A farm-level precision land management framework based on integer programming Q Li, G Hu, TZ Jubery, B Ganapathysubramanian PloS one 12 (3), e0174680, 2017 | 14 | 2017 |
| Deploying Fourier coefficients to unravel soybean canopy diversity TZ Jubery, J Shook, K Parmley, J Zhang, HS Naik, R Higgins, S Sarkar, ... Frontiers in plant science 7, 2066, 2017 | 14 | 2017 |
| Dissecting the root phenotypic and genotypic variability of the Iowa mung bean diversity panel KO Chiteri, TZ Jubery, S Dutta, B Ganapathysubramanian, S Cannon, ... Frontiers in Plant Science 12, 808001, 2022 | 13 | 2022 |
| “Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies TJ Young, TZ Jubery, CN Carley, M Carroll, S Sarkar, AK Singh, A Singh, ... Frontiers in plant science 14, 1141153, 2023 | 12 | 2023 |