◆发表论文
1.Wei Wang, Zeng Huang, Zhuoying Fu, Lu Jia, Qinghai Li, Jiahao Song. Impact of digital technology adoption on technological innovation in grain production. Journal of Innovation & Knowledge. 2024, 9(3): 100520. https://doi.org/10.1016/j.jik.2024.100520. (SSCI,中科区一区TOP,第一作者)
2.汪为,吴海涛.家庭生命周期视角下农村劳动力非农转移的影响因素分析——基于湖北省的调查数据[J].中国农村观察,2017(06):57-70.(CSSCI,第一作者)
3.汪为, 万广华. 促进农民持续增收:主要瓶颈、实现路径与政策优化[J]. 中州学刊, 2024, (02): 23-29. (CSSCI,第一作者)
4.汪为,吴海涛,彭继权.农村家庭多维贫困动态性及其影响因素研究——基于湖北数据的分析[J].中南财经政法大学学报,2018(01):51-60+83.(CSSCI,第一作者)
5.汪为, 万广华. 乡村建设促进农村共同富裕的理论逻辑、现实基础与政策保障[J]. 世界农业, 2024, (04): 94-102. (CSSCI,第一作者)
6.汪为,吴海涛,郑家喜.城乡家庭多维贫困测度及影响因素研究——来自内蒙古的证据[J].干旱区资源与环境,2018,32(07):23-29. (CSSCI,第一作者)
7.Wang Wei, Zhang Chongmei, Song Jiahao, Xu Dingde. The Impact of Target Price Policy on Cotton Cultivation: Analysis of County-Level Panel Data from China. Agriculture. 2021; 11(10):988. https://doi.org/10.3390/agriculture11100988 (SSCI,Q1,第一作者)
8.张崇梅, 汪为. 风险冲击、金融行为与农户可持续生计[J]. 山西财经大学学报, 2024, 46 (06): 53-67. (CSSCI,通讯作者)
9.宋嘉豪,郑家喜,汪为.养儿能否防老:代际互动对农村老年人的减贫研究——基于多维贫困视角[J].人口与发展,2019,25(06):96-106.(CSSCI,通讯作者)
10.彭继权,吴海涛,汪为.家庭生命周期视角下农户多维贫困测度及分解[J].统计与决策,2019,35(12):45-49.(CSSCI,通讯作者)
11.宋嘉豪, 徐定德, 汪为. 数字技术应用对农户相对贫困的影响[J]. 改革, 2023, (10): 46-59. (CSSCI,通讯作者)
12.杨迎亚,汪为.城乡基本公共服务均等化的减贫效应研究[J].华中科技大学学报(社会科学版),2020,34(02):75-82+140.(CSSCI,通讯作者)
13.Hui Yang, Zeng Huang, Zhuoying Fu, Dai Zhu, Yan Yang, Wei Wang. Does Land Transfer Enhance the Sustainable Livelihood of Rural Households? Evidence from China. Agriculture. 2023, 13, 1667. https://doi.org/10.3390/agriculture 13091667. (SCI,通讯作者)
14.Chongmei Zhang, Xin Luo, Jiahao Song, Zhuoying Fu, Zeng Huang, Wei Wang. Can Environmental Risk Management Improve the Adaptability of Farmer Households’ Livelihood Strategies? Evidence From HubeiProvince, China. Frontiers in Environmental Science.2022, 10:908913.doi: 10.3389/fenvs.2022.908913. (SCI,通讯作者)
15.Xin Luo, Chongmei Zhang, Jiahao Song, Zishan Qiu, Wenzhuo Li, Wei Wang. Do Livelihood Strategies Affect the Livelihood Resilience of Farm Households in Flooded Areas? Evidence From Hubei Province,China. Frontiers in Ecology and Evolution.2022, 10:909172.doi: 10.3389/fevo.2022.909172. (SCI,通讯作者)
16.Xiaonan Hu, Yan Guo, Chengxin Yin, Wei Wang, et al. Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming,Discrete Dynamics in Nature & Society, 2020, 07:1-11.(SCI,通讯作者)
17.彭继权,吴海涛,汪为.农业机械化水平对农户主粮生产的影响[J].中国农业资源与区划,2021,42(01):51-59.(CSCD,通讯作者)