23. Lanzhi Li, Xingfei Zheng, JiaboWang, Xueli Zhang, Xiaogang He,Liwen Xiong, Shufeng Song, Jing Su, Ying Diao, Zheming Yuan, Zhiwu Zhang* & Zhongli Hu*. Joint analysis of phenotype-effect-generation identifies loci associated with grain quality traits in rice hybrids. Nature Communication, 2023.

22. Zhou Tang, Meinan Wang, Michael Schirrmann, Karl-Heinz Dammer, Xianran Li, Robert Brueggeman, Sindhuja Sankaran, Arron H Carter, Michael O Pumphrey, Yang Hu*, Xianming Chen*, and Zhiwu Zhang*. Affordable High Throughput Field Detection of Wheat Stripe Rust Using Deep Learning with Semi-Automated Image Labeling. Computers and Electronics in Agriculture, 2023.

21. Zhou Tang, Yang Hu*, and Zhiwu Zhang. ROOSTER: An image labeler and classifier through interactive recurrent annotation. F1000Research, 2023.

20. Yang Hu, Stephanie M Sjoberg, Chunpen James Chen, Amber L Hauvermale, Craig F Morris, Stephen R Delwiche, Ashley E Cannon, Camille M Steber*, Zhiwu Zhang*. As the number falls, alternatives to the Hagberg–Perten falling number method: A review. Comprehensive Reviews in Food Science and Food Safety, 2022.

19. Zhou Tang, Atit Parajuli, Chunpeng James Chen, Yang Hu, Samuel Revolinski, Cesar Augusto Medina, Sen Lin, Zhiwu Zhang* and Long-Xi Yu*. Validation of UAV-based alfalfa biomass predictability using photogrammetry with fully automatic plot segmentation. Scientific Reports, 2021.

18. Jiabo Wang and Zhiwu Zhang. GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction. Genomics, Proteomics & Bioinformatics, 2021.

17. Yang Hu and Zhiwu Zhang. GridFree: a python package of imageanalysis for interactive grain counting and measuring. Plant Physiology, 2021.

16. Wei Huang, Ping Zheng, Zhenhai Cui, Zhuo Li, Yifeng Gao, Helong Yu, You Tang, Xiaohui Yuan, and Zhiwu Zhang. MMAP: A Cloud Computing Platform for Mining the Maximum Accuracy of Predicting Phenotypes from Genotypes. Bioinformatics, 2020.

15. Chunpeng James Chen and Zhiwu Zhang. GRID: A Python Package for Field Plot Phenotyping Using Aerial Images. Remote Sensing, 2020.

14. Meng Huang, Xiaolei Liu, Yao Zhou, Ryan M. Summers and Zhiwu Zhang*. BLINK: A Package for Next Level of Genome Wide Association Studies with Both Individuals and Markers in the Millions. GigaScience, 2019.

13. Jiabo Wang, Zhengkui Zhou, Zhe Zhang, Hui Li, Di Liu, Qin Zhang, Peter J. Bradbury, Edward S. Buckler & Zhiwu Zhang*. Expanding the BLUP alphabet for genomic prediction adaptable to the genetic architectures of complex traits. Heredity, 2018.

12. Chunpeng James Chen and Zhiwu Zhang*. iPat: Intelligent Prediction and Association Tool for Genomic Research. Bioinformatics, 2018.

11. Y Zhou, MI Vales, A Wang, Z Zhang*. Systematic bias of correlation coefficient may explain negative accuracy of genomic prediction. Briefings in Bioinformatics 2016.

10. You Tang, Xiaolei Liu, Jiabo Wang, Meng Li, Qishan Wang, Feng Tian, Zhongbin Su,Yuchun Pan, Di Liu, Alexander E. Lipka, Edward S. Buckler, and Zhiwu Zhang*. GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction. The Plant Genome 2016.

9. Xiaolei Liu, Meng Huang, Bin Fan, Edward S. Buckler, and Zhiwu Zhang*: Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies. PLoS Genetics 2016.

8. Li M, Liu X, Bradbury P, Yu J, Zhang Y-M, Todhunter RJ, Buckler ES, *Zhang Z. Enrichment of statistical power for genome-wide association studies. BMC Biolology 2014.

7. Yang Y, Wang Q, Chen Q, Liao R, Zhang X, Yang H, Zheng Y, Zhiwu Zhang*. A new genotype imputation method with tolerance to high missing rate and rare variants. PLoS One 2014.

6. Wang Q, Tian F, Pan Y, Buckler ES, *Zhang Z. A SUPER Powerful Method for Genome Wide Association Study. PLoS One 2014.

5. Lipka AE, Tian F, Wang Q, Peiffer J, Li M, Bradbury PJ, Gore MA, Buckler ES, *Zhang Z. GAPIT: genome association and prediction integrated tool. Bioinformatics 2012.

4. *Zhang Z, Ersoz E, Lai CQ, Todhunter RJ, Tiwari HK, Gore MA, Bradbury PJ, Yu J, Arnett DK, Ordovas JM, Buckler ES. Mixed linear model approach adapted for genome-wide association studies.Nature Genetics 2010.

3. Zhang Z*, Buckler ES, Casstevens TM, Bradbury PJ. Software engineering the mixed model for genome-wide association studies on large samples. Briefings in Bioinformatics 2009.

2. Bradbury PJ, Zhang Z, Kroon DE, Casstevens TM, Ramdoss Y, Buckler ES. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics 2007.

1. Zhang Z, Todhunter RJ, Buckler ES, Van Vleck LD. Technical note: Use of marker-based relationships with multiple-trait derivative-free restricted maximal likelihood. Journal of Animal Science 2007.