[1]Fusion optimization: enhancing the efficacy of soil available heavy metal content prediction models leveraging novel near-infrared and mid-infrared spectroscopy technology. Guo, Hairong,Guo, Mingdian,Liu, Yujia. 2025

[2]Using mixed kernel support vector machine to improve the predictive accuracy of genome selection. Jinbu Wang,Wencheng Zong,Liangyu Shi,Mianyan Li,Jia Li,Deming Ren,Fuping Zhao,Lixian Wang,Ligang Wang. 2024

[3]Genome-wide selection and introgression of Chinese rice varieties during breeding. Ge, Jinyue,Wang, Junrui,Pang, Hongbo,Li, Fei,Lou, Danjing,Fan, Weiya,Liu, Ziran,Li, Jiaqi,Li, Danting,Nong, Baoxuan,Zhang, Zongqiong,Wang, Yanyan,Huang, Jingfen,Xing, Meng,Nie, Yamin,Xiao, Xiaorong,Zhang, Fan,Wang, Wensheng,Xu, Jianlong. 2022

[4]Pan-genome analysis of 13 Spinacia accessions reveals structural variations associated with sex chromosome evolution and domestication traits in spinach. She, Hongbing,Liu, Zhiyuan,Xu, Zhaosheng,Zhang, Helong,Wu, Jian,Cheng, Feng,Wang, Xiaowu,Qian, Wei. 2024

[5]Accuracy of Genomic Predictions Cross Populations with Different Linkage Disequilibrium Patterns. Lei Jin,Lei Xu,Hai Jin,Shuanping Zhao,Yutang Jia,Junya Li,Jinling Hua. 2024

[6]Potential of marker selection to increase prediction accuracy of genomic selection in soybean (Glycine max L.). Li, Wenbin,Ma, Yansong,Liu, Zhangxiong,Guo, Yong,Qiu, Lijuan,Ma, Yansong,Luan, Xiaoyan,Reif, Jochen C.,Jiang, Yong,Wen, Zixiang,Wang, Dechun,Han, Tianfu,Wu, Cunxiang,Sun, Shi,Wei, Shuhong,Wang, Shuming,Yang, Chunming,Wang, Huicai,Yang, Chunming,Zhang, Mengchen,Lu, Weiguo,Xu, Ran,Zhou, Rong,Zhou, Xinan,Wang, Ruizhen,Sun, Zudong,Chen, Huaizhu,Zhang, Wanhai,Sun, Bincheng,Wu, Jian,Han, Dezhi,Yan, Hongrui,Hu, Guohua,Liu, Chunyan,Fu, Yashu,Chen, Weiyuan,Guo, Tai,Zhang, Lei,Yuan, Baojun.

[7]Determination of Soil Parameters in Apple-Growing Regions by Near- and Mid-Infrared Spectroscopy. Dong Yi-Wei,Xu Chun-Ying,Li Yu-Zhong,Li Qiao-Zhen,Dong Yi-Wei,Yang Shi-Qi,Fan Zhong-Nan,Wang Ya-Nan,Bai Wei. 2011

[8]Population Forecasting Model of Nilaparvata lugens and Sogatella furcifera (Homoptera: Delphacidae) Based on Markov Chain Theory. Liu, Huai,Wang, Jin-Jun,Zhao, Zhi-Mo,Yan, Xiang-Hui,Huang, Fangneng,Cheng, Deng-Fa.

[9]Genomic Prediction Using LD-Based Haplotypes Inferred From High-Density Chip and Imputed Sequence Variants in Chinese Simmental Beef Cattle. Hongwei Li,Bo Zhu,Ling Xu,Zezhao Wang,Lei Xu,Peinuo Zhou,Han Gao,Peng Guo,Yan Chen,Xue Gao,Lupei Zhang,Huijiang Gao,Wentao Cai,Lingyang Xu,Junya Li. 2021

[10]Validation of the prediction accuracy for 13 traits in Chinese simmental beef cattle using a preselected low-density SNP panel. Ling Xu,Qunhao Niu,Yan Chen,Zezhao Wang,Lei Xu,Hongwei Li,Lingyang Xu,Xue Gao,Lupei Zhang,Huijiang Gao,Wentao Cai,Bo Zhu,Junya Li. 2021

[11]Genomic selection to introgress exotic maize germplasm into elite maize in China to improve kernel dehydration rate. Hongjun Yong,Nan Wang,Xiaojun Yang,Fengyi Zhang,Juan Tang,Zhiyuan Yang,Xinzhe Zhao,Yi Li,Mingshun Li,Degui Zhang,Zhuanfang Hao,Jianfeng Weng,Jienan Han,Huihui Li,Xinhai Li. 2021

[12]Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models. Haoran Ma,Hongwei Li,Fei Ge,Huqiong Zhao,Bo Zhu,Lupei Zhang,Huijiang Gao,Lingyang Xu,Junya Li,Zezhao Wang. 2024

[13]Genomic Selection for Live Weight in the 14th Month in Alpine Merino Sheep Combining GWAS Information. Chenglan Li,Jianye Li,Haifeng Wang,Rui Zhang,Xuejiao An,Chao Yuan,Tingting Guo,Yaojing Yue. 2023

[14]Genomic Selection for Weaning Weight in Alpine Merino Sheep Based on GWAS Prior Marker Information. Haifeng Wang,Chenglan Li,Jianye Li,Rui Zhang,Xuejiao An,Chao Yuan,Tingting Guo,Yaojing Yue. 2024

[15]Evolutionarily Informed Deep Learning Methods F.or Predicting Relative Transcript A bundance From Dna Sequence. Washburn, Jacob D.,Wang, Hai,Wang, Hai,Wang, Hai,Valluru, Ravi,Ramstein, Guillaume,Mejia-Guerra, Maria Katherine,Kremling, Karl A.,Wang, Hai,Buckler, Edward S.,Buckler, Edward S.. 2019

[16]Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China. Zheng, Yinger,Zheng, Yinger,Zheng, Haixia,Zheng, Haixia,Ye, Xinyue. 2016

[17]Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie.

[18]A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie. 2015

[19]Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes. Shahbeik H.,Shafizadeh A.,Nadian M.H.,Jeddi D.,Mirjalili S.,Yang Y.,Lam S.S.,Pan J.,Tabatabaei M.,Aghbashlo M.. 2023

[20]Virtual screening strategy for anti-DPP-IV natural flavonoid derivatives based on machine learning. Lu, Gen,Pan, Fei,Li, Xiaotong,Zhu, Zehui,Zhao, Lei,Wu, Ya,Tian, Wenli,Peng, Wenjun,Liu, Jinling. 2023