研究成果 | 科研项目: 1. 海南省科学技术厅,海南省自然科学基金青年基金项目,324QN201,202403-202702,6万元,在研。 2. 永利yl7703主页,永利yl7703主页科研启动基金项目,KYQD(ZR)22167,202206-202706,10万元,在研。 学术论文: 1. Li S, Xu Le, Jiao Y, Li S, Yang Y, Lan F, Chen Si, Man C, Du L, Chen Q, Wang F*, Gao H*. Risk assessment of global animal melioidosis under current and future climate scenarios, Animals. 2025, 15(3): 455. Doi: 10.3390/ani15030455. 2. Chai Y, Li S, Wu H, Meng Y, Fu Y, Li H, Wu G, Jiang J, Chen T, Jiao Y, Chen Q, Du L, Li L, Man C, Chen S, Gao H*, Zhang W*, Wang F*. The genome landscape of the Xinglong buffalo. BMC Genomics. 2024, 25(1): 1054. Doi: 10.1186/s12864-024-10941-8. 3. Xu L, Li S, Li H, Pan H, Li S, Yang Y, Jiao Y, Lan F, Chen S, Chen Q, Du L, Man C, Wang F*, Gao H*. Predicting Tuberculosis Risk in Cattle, Buffaloes, Sheep, and Goats in China Based on Air Pollutants and Meteorological Factors. Animals. 2024, 14(24): 3704. Doi: 10.3390/ani14243704. 4. Pan H, Jiao Z, Li H, Li S, Xu L, Li S, Meng Y, Fu Y, Chen T, Chen Q, Chen S, Du L, Man C, Wang F*, Gao H*. Sheep and goat pathogen database: a pathogen data integration and analysis database of sheep and goat infectious diseases. Frontiers in Microbiology. 2024, 14: 1299303. Doi: 10.3389/fmicb.2023.1299303. 5. Li H, Pan H, Xu L, Li S, Li S, Chen S, Man C, Du L, Chen Q, Xiao J, Wang H, Wang F, Gao H*. Predicting Risk Areas of Classical Scrapie in China Based on Environmental Suitability. Transboundary And Emerging Diseases. 2023, 2023:2826256. Doi: 10.1155/2023/2826256. 6. Gao H, Ma J*. Spatial distribution and risk areas of foot and mouth disease in mainland China. Preventive Veterinary Medicine. 2021, 189:105311. Doi: 10.1016/j.prevetmed.2021.105311. 7. Gao H, Wang L, Ma J, Gao X, Xiao J, Wang H*. Modeling the current distribution suitability and future dynamics of Culicoides imicola under climate change scenarios. PeerJ. 2021, 9: e12308. Doi: 10.7717/peerj.12308. 8. Gao H., Jiang G, Gao X, Xiao J, Wang H*. An equine disease diagnosis expert system based on improved reasoning of evidence credibility. Information Processing in Agriculture. 2019, 6(3), 414-423. Doi: 10.1016/j.inpa.2018.11.003. |