（1） SCI论文（第一和通讯作者,用*标注）：
1) Jiang Yao, Zou Quan, Liu Bo, Li Shujuan, Wang Yi, Liu Tianlong, Ding Xiangdong*, Atlas of prenatal hair follicle morphogenesis using the pig as a model system, Front. Cell Dev. Biol. 2021,| doi: 10.3389/fcell.2021.721979.(IF: 6.684)
2) Shaolei Shi, Xiujin Li, Lingzhao Fang, Aoxing Liu, Guosheng Su, Yi Zhang, Basang Luobu, Xiangdong Ding*, Shengli Zhang*,Genomic prediction using Bayesian regression models with global-local prior. Frontiers in Genetics, 2021, 10.3389/fgene.2021.628205.(IF: 4.599)
3) Huatao Liu, Hailiang Song, Yao Jiang, Yifan Jiang, Fengxia Zhang, Yibing Liu,Yong Shi, Xiangdong Ding*, Chuduan Wang*, A Single-Step Genome Wide Association Study on Body Size Traits Using Imputation-Based Whole-Genome Sequence Data in Yorkshire Pigs. Frontiers in Genetics, 2021, 10.3389/fgene.2021. 629049.(IF: 4.599)
4) King Xing#, Huatao Liu#, Fengxia Zhang, Yibing Liu,Yong Shi, Xiangdong Ding*, Chuduan Wang*, Identification of key genes affecting porcine fat deposition based on co-expression network analysis of weighted genes. Journal of Animal Science and Biotechnology, 2021, 10.1186/s40104-021-00616-9.(IF: 5.922，中科院1区)
5) Ying Yu, Siqian Chen, Shuli Liu, Siyuan Mi, Wenlong Li, Shengli Zhang*, Xiangdong Ding*, Comparative analyses of sperm DNA methylomes among three commercial pig breeds reveal vital hypomethylated regions associated with spermatogenesis and embryonic development. Frontiers in Genetics,2021, DOI: 10.3389/fgene.2021.740036.(IF: 4.599)
6) Fu Lu, Jiang, Yao; Wang, Chonglong; Mei, Mengran; Zhou, Ziwen; Jiang, Yifan; Song, Hailiang; Ding Xiangdong*. A Genome-Wide Association Study on Feed Efficiency Related Traits in Landrace Pigs，Frontiers in Genetics, 2020, 11: 692.(IF: 3.517)
7) Wang Yi, Niu Zhigang, Zeng Zhengcheng; Jiang Yao; Jiang Yifan; Ding Yugong; Tang Sen; Shi Hongcai*; Ding Xiangdong*. Using High-Density SNP Array to Reveal Selection Signatures Related to Prolificacy in Chinese and Kazakhstan Sheep Breeds. Animals, 2020, 10(9): 1633.(IF: 2.323)
8) Song Hailiang; Zhang Qin; Ding Xiangdong*. The superiority of multi-trait models with genotype-by-environment interactions in a limited number of environments for genomic prediction in pigs. Journal of Animal Science and Biotechnology, 2020, 11(1): 88.(IF: 4.392,中科院1区)
9) Song, Hailiang; Zhang, Qin; Misztal, Ignacy; Ding, Xiangdong*.Genomic prediction of growth traits for pigs in the presence of genotype by environment interactions using single-step genomic reaction norm model. Journal of Animal Breeding and Genetics, 2020, 137(6): 523-534.(IF：1.822)
10) Jiang Y, Tang S, Xiao W, Yun P, Ding X*. A genome-wide association study of reproduction traits in four pig populations with different genetic backgrounds. Asian-Australas J Anim Sci. 2020 Sep;33(9):1400-1410.
11) Yao Jiang, Yifan Jiang, Haihan Zhang, Mengran Mei,Hailiang Song，Xianghui Ma, Li Jiang, Zhenquan Yu, Qin Zhang, Xiangdong Ding*,A Mutation in MAP2 is Associated with Prenatal Hair Follicle Density, FASEB J,2019, 33(12):1-12.(IF：5.391)
12) Hailiang Song, Shaopan Ye, Yifan Jiang, Zhe Zhang, Qin Zhang and Xiangdong Ding*, Using imputation-based whole genome sequence data to improve the accuracy of genomic prediction for admixed population in pig， Genetics Selection Evolution, 2019,51(1):58. (IF:4.017, 中科院1区)
13) Jiang Y, Jiang Y, Wang S, Zhang Q, Ding X*. Optimal sequencing depth design for whole genome re-sequencing in pigs. BMC Bioinformatics. 2019 Nov 8;20(1):556.(IF:3.242)
14) JinXin. Zhang, Hailiang. Song, Qin. Zhang, Xiangdong Ding*Assessment of relationships between animals based on pedigree and genomic information, Animal, 2019, 11: 1-9.(IF：2.4)
15) Suoyu Zhang, Jinxin Zhang, Qin Zhang, Hongjie Yang, Zhigang Wang, Xiangdong Ding*, and Yuchun Pan*. Estimation of genetic parameters for reproductive traits in connectedness groups of Duroc, Landrace and Yorkshire pigs in China. Journal of Animal Breeding and Genetics. 2019, 9.(IF:1.822)
16) Hailiang Song, Jinxin Zhang, Qin Zhang, Xiangdong Ding*. Using different single-step strategies to improve the efficiency of genomic prediction on body measurement traits in pig. Frontiers in Genetics, (2019).9: 730-730.(IF: 3.517)
17) Hongying Ma, Sheng Wang#, Guorong Zeng, Jintu Guo, Minghao Guo…,Xiangdong Ding*,Chuanjiang Zhao*. The Origin of a Coastal Indigenous Horse Breed in China Revealed by Genome-Wide SNP Data. Genes, 2019, 10(3):241-267.(IF: 3.759)
18) Peipei Ma, Ju Huang, Weijia Gong, Xiujin Li, Hongding Gao, Qin Zhang, Xiangdong Ding* and Chonglong Wang. The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology,2018 9:64.(IF: 4.392，中科院1区）
19) *Dong-Dong Wu, Xiang-Dong Ding#, Sheng Wang,Jan M Wójcik, Yi Zhang, Małgorzata Tokarska, Yan Li, Ming-Shan Wang, Omar Faruque , Rasmus Nielsen*, Qin Zhang*, Ya-Ping Zhang*. Pervasive introgression facilitated domestication and adaptation in the Bos species complex[J]. Nature Ecology & Evolution, 2018, 2(7): 1139.(共1， IF：12.541，中科院1区)
20) Yao Jiang, Shaoqing Tang, Chuduan. Wang, Yuan Wang, Yongxiao Qin, Yuliang Wang, Jinxin. Zhang, Hailiang Song, Shirong Mi, Fan Yu, Wei Xiao, Qin Zhang, Xiangdong Ding*. A genome-wide association study of growth and fatness traits in two pig populations with different genetic backgrounds[J]. Journal of Animal Science, 2018, 96(3):806-816.(IF: 2.155）
21) Song hailiang, li leyi, Ma peipei, zhang shengli, Su guosheng, Mogens Lund, Zhang Qin, Ding Xiangdong*. Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels[J]. Journal of Dairy Science, 2018, 101(6):5250.(IF: 3.432，中科院1区)
22) H Song, L Li, Q Zhang, S Zhang, X Ding*. Accuracy and bias of genomic prediction with different de-regression methods[J]. Animal, 2018, 12(6):1111-1117.(IF：2.4)
23) Y Wang, X Ding#, Z Tan, K Xing, T Yang, Y Wang, D Sun, C Wang. Genome-wide association study for reproductive traits in a Large White pig population[J]. Animal Genetics, 2018, 49(2):127-131.(IF：2.841)
24) H Song, J Zhang, Y Jiang, H Gao, S Tang, S Mi, F Yu, Q Meng, W Xiao, Q Zhang, X Ding*. Genomic prediction for growth and reproduction traits in pig using an admixed reference population[J]. Journal of Animal Science, 2017, 95(8):3415-3424.(IF: 2.155）
25) Song H, Li L, Zhang Q, Zhang S, Ding X. Accuracy and bias of genomic prediction with different de-regression methods. Animal. 2018 Jun;12(6):1111-1117.(IF：2.4)
26) Yuan Wang, Xiangdong Ding#, Zhen Tan, Chao Ning, Kai Xing, Ting Yang, Yongjie Pan, Dongxiao Sun, Chuduan Wang. Genome-Wide Association Study of Piglet Uniformity and Farrowing Interval[J]. Frontiers in Genetics, 2017, 8:194:1-9.(IF: 3.517)
27) ChonglongWang, QinZhang, LiJiang, RongQian, XiangdongDing*, YaofengZhao*. Comparative study of estimation methods for genomic breeding value, Chinese Science Bulletin, 2016, 61(5):353-356.(IF:9.511,中科院1区）
28) Ma Yunlong, Ding Xiangdong#, Qanbari S, S Weigend, Zhang Qin* and H Simianer. Properties of different selection signature statistics and a new strategy for combining them. Heredity (2015) 115, 426–436.(IF:3.436)
29) He Sang,Wang Sheng,Fu WeiXuan, Ding Xiangdong*,Zhang Qin, Imputation of missing genotypes from low-to high-density SNP panel in different population designs, Animal Genetics, 2015, 46(1):1-7(IF：2.841)
30) Zhe Zhang, Xiujin Li, Jiaqi Li, Xiangdong Ding*, Qin Zhang, GPOPSIM: a simulation tool for whole-genome genetic data, BMC genetics, 2015,16(10)1-6.(IF: 2.567)
（2） 中文：
1) 邱奥，王雪，孟庆利，张勤，丁向东，三款猪50KSNP芯片基因型填充效果研究，中国畜牧杂志，2021，33-38.
2) 周子文，王雪，丁向东*. 基于高密度SNP标记估计群体间遗传关联. 遗传，2021，DOI: 10.16288/j.yczz.20-351.
3) 丁向东, 邱小田, 王志刚, 等. 我国生猪遗传改良计划对生猪种业影响和未来工作建议[J]. 中国畜牧杂志, 2020,56(6):169-174.
4) 周子文,付璐，丁向东*等，利用后裔测定验证大白猪基因组选择实施效果研究，畜牧兽医学报 2020 , 51 ( 10 ): 2367 - 2377.
5) 张金鑫，唐韶青,宋海亮,高虹,蒋尧,江一凡,弥世荣,孟庆利,于凡,肖炜,云鹏,张勤, 丁向东*, 北京地区大白猪基因组联合育种研究,中国农业科学，2019,52（12）：2161-2170
6) 汪楷庭, 丁向东* 猪PLA2G4A基因单核苷酸多态性及其与饲料报酬性状的关联分析 2019,55（11）：52-58
7) 高虹 邱小田王长存，张金鑫，，张锁宇，王源，张勤王志刚，杨红杰，丁向东*，我国杜洛克、长白、大白猪区域性联合遗传评估研究，畜牧兽医学报，2018,49（12）：2567-2575.
8) 张金鑫，张锁宇，邱小田，王长存，王源，高虹，王志刚，杨红杰，张勤，丁向东*. 我国杜洛克、长白和大白猪场间遗传联系分析，畜牧兽医学报，2017.
9) 张越 杨宇泽 张金鑫 张锁宇 邱小田 唐韶青 丁向东*,DMU、GBS和Herdsman3个软件育种值估计的比较，中国畜牧杂志，2017 , 53 (7) :29-35.
10) 秦永孝；王玉梁；高雪峰；弥世荣；邱小田；张勤；丁向东*,基于红外设备的母猪发情状态下体温变化研究。畜牧兽医学报, 2016,52（1）:85-91.
（3） 软件著作权：
1) 全基因组基因与环境互作模拟软件V1.0，2021SRBJ0035
2) 基于系谱信息的群体关联估计软件，2021SRBJ0422,2021
3) 基于系谱信息的群体关联估计软件，2020SRBJ0422,2020
4) 基于随机抽样方法的群体关联估计软件，2020SRBJ0502,2020
5) 基于基因组信息的群体关联估计软件 2020SRBJ0423,2020
6) 综合系谱和基因组信息的群体关联估计软件 2020SRBJ0424,2020
7) 基于一步策略快速估计基因组育种值软件（简称fastBLUP） V1.0, 2019SRBJ0851，2019
8) 猪基因组选择育种网络平台系统V2.0，2019SRBJ0853，2019
9) 基因一步法自动化猪基因组遗传评估软件V2.0,2018SRBJ1087，2018
10) 全国和区域性猪育种值估计计算软件V1.0, 2018SRBJ1085，2018
11) 不同品种猪场场间关联率计算软件V1.0,2018SRBJ1086,2018
12) 猪基因组选择育种网络平台，2017SRBJ0040，2017
13) 动物体温监测系统，2017SRBJ0106，2017
14) 基于GBLUP方法自动化猪基因组遗传评估软件，2017SRBJ0105，2017
15) 基于自动化需求的猪基因组遗传评估软件，2017SRBJ0168，2017
16) 基于BayesR方法自动化猪基因组遗传评估软件，2017SRBJ0250，2017
17) 基于一步法自动化猪基因组遗传评估软件，2017SRBJ0167，2017
18) 基于自动化需求的全基因组选择数据准备软件V1.0，2015SRBJ0030，2015
19) 基因组SNP芯片数据编辑软件V1.0，2015SRBJ0210，2015
20) 基于F统计量基因选择信号检测软件V1.0, 2015SRBJ0213，2015
21) 两性状全基因组数据模拟软件V1.0,2014SRBJ0036，2014
22) 基于一步法策略的基因组育种值估计软件V1.0, 2014SRBJ0037,2014
23) 基于基因组和微效多基因信息的混合模型估计基因组育种值软件V1.0，2014SRBJ0038,2014
24) 利用系谱传递不平衡精细定位基因软件，2011SRBJ4833，2011
25) 基因组育种值最佳线性无偏预测软件V1.0，2010SRBJ5208，2010
26) 全基因组群体数据模拟程序软件，2010SRBJ3976，2010
27) 基因组育种值估计程序软件， 2010SRBJ3977， 2010
28) 半同胞资料单倍型推断软件，2010SRBJ5207， 2010