| GWAS-based identification of new loci for milk yield, fat, and protein in Holstein cattle L Liu, J Zhou, CJ Chen, J Zhang, W Wen, J Tian, Z Zhang, Y Gu Animals 10 (11), 2048, 2020 | 44 | 2020 |
| Genome-wide association study of milk and reproductive traits in dual-purpose Xinjiang Brown cattle J Zhou, L Liu, CJ Chen, M Zhang, X Lu, Z Zhang, X Huang, Y Shi BMC genomics 20, 1-11, 2019 | 34 | 2019 |
| Validation of UAV-based alfalfa biomass predictability using photogrammetry with fully automatic plot segmentation Z Tang, A Parajuli, CJ Chen, Y Hu, S Revolinski, CA Medina, S Lin, ... Scientific reports 11 (1), 3336, 2021 | 29 | 2021 |
| iPat: intelligent prediction and association tool for genomic research CJ Chen, Z Zhang Bioinformatics 34 (11), 1925-1927, 2018 | 29 | 2018 |
| Grid: a python package for field plot phenotyping using aerial images CJ Chen, Z Zhang Remote Sensing 12 (11), 1697, 2020 | 16 | 2020 |
| VTag: a semi-supervised pipeline for tracking pig activity with a single top-view camera CPJ Chen, G Morota, K Lee, Z Zhang, H Cheng Journal of animal science 100 (6), skac147, 2022 | 9 | 2022 |
| As the number falls, alternatives to the Hagberg–Perten falling number method: A review Y Hu, SM Sjoberg, C Chen, AL Hauvermale, CF Morris, SR Delwiche, ... Comprehensive Reviews in Food Science and Food Safety 21 (3), 2105-2117, 2022 | 8 | 2022 |
| Role of the genomics–phenomics–agronomy paradigm in plant breeding CJ Chen, J Rutkoski, JC Schnable, SC Murray, L Wang, X Jin, B Stich, ... Plant Breeding Reviews 46, 627-673, 2022 | 7* | 2022 |
| XSim version 2: simulation of modern breeding programs CJ Chen, D Garrick, R Fernando, E Karaman, C Stricker, M Keehan, ... G3 12 (4), jkac032, 2022 | 4 | 2022 |
| Genome‐wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth‐related traits in maize under plant growth‐promoting bacteria … R Massahiro Yassue, G Galli, CP James Chen, R Fritsche‐Neto, G Morota Plant Direct 7 (4), e492, 2023 | 2 | 2023 |
| An independent validation reveals the potential to predict Hagberg–Perten falling number using spectrometers CPJ Chen, Y Hu, X Li, CF Morris, S Delwiche, AH Carter, C Steber, ... The Plant Phenome Journal 6 (1), e20070, 2023 | | 2023 |
| Evaluation of walking activity data during pregnancy as an indicator of pregnancy loss in dairy cattle CPJ Chen, G Ferreira JDS communications 4 (2), 166-168, 2023 | | 2023 |
| iPat: A Genomics Analysis Tool for Everyone CJ Chen, Z Zhang Plant and Animal Genome XXVII Conference (January 12-16, 2019), 2019 | | 2019 |
| Toward Instant, Non-Destructive Prediction of Wheat Hagberg-Perten Falling Number CPJ Chen, S Sjoberg, AH Carter, M Pumphrey, CM Steber, Z Zhang Plant and Animal Genome XXVII Conference (January 12-16, 2019), 2019 | | 2019 |
| GWAS and GS Are as Easy as Clicking and Dragging with iPat CJ Chen, Z Zhang | | |
| Visualization and Modeling of Population Structure for GWAS Using Autoencoders SR Revolinski, CJ Chen, Z Zhang Plant and Animal Genome XXVII Conference (January 12-16, 2019), 0 | | |
| Genome-Wide Association Study of Milk and Reproduction Traits in Xinjiang Brown Cattle J Zhou, L Liu, CJ Chen, M Zhang, X Lu, Z Zhang, X Huang, Y Shi Plant and Animal Genome XXVII Conference (January 12-16, 2019), 0 | | |
| Genome-Wide Association Studies Identified Genetic Loci for Milk Production, Somatic Cell Score and Body Size Traits in Chinese Holstein Cattle L Liu, J Zhou, C Chen, J Zhang, W Wen, H Shao, J Tian, Z Zhang, Y Gu Plant and Animal Genome XXVII Conference (January 12-16, 2019), 0 | | |
| AE Boosting: A Neural-Network Strategy to Enhance Prediction on Wheat Yield through Spectral Information CPJ Chen, P Mihalyov, M Pumphrey, Z Zhang Plant and Animal Genome XXVII Conference (January 12-16, 2019), 0 | | |
