Citation:

Model Building papers:

1. Huiyu Xu, Guoshuang Feng, Rui Yang, Rong Li, Jie Qiao. (2023) OvaRePred: Online tool for predicting the age of fertility milestones. The Innovation 2023 4(5): 100490 IF=33.1

2. Huiyu Xu*, Li Shi*, Guoshuang Feng*, Zhen Xiao, Lixue Chen, Rong Li, Jie Qiao. An Ovarian Reserve Assessment Model Based on Anti-Mullerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study. JMIR 2020 22; e19096 IF=5.428

3. Huiyu Xu*, Guoshuang Feng*, Haiyan Wang*, Yong Han, Rui Yang, Ying Song, Lixue Chen, Li Shi, Mengqian Zhang, Rong Li, Jie Qiao. A novel mathematical model of true ovarian reserve assessment based on predicted probability of poor ovarian response: a retrospective cohort study. Journal of assisted Reproduction and Genetics 2020 37:963-972. IF=3.412

4. Yong Han*, Huiyu Xu (co-first), Guoshuang Feng*, Haiyan Wang, Yong Han, Kannan Alpadi, Lixue Chen, Mengqian Zhang, Rong Li, and Jie Qiao. An online tool for predicting ovarian reserve based on AMH level and age: A retrospective cohort study. Frontiers in endocrinology 2022. 13:946123 IF=6.055

OvaRePred related:

5. Huiyu Xu, Wei Wang, Yong Han, Rong Li, and Jie Qiao. OvaRePred: Redefing ovarian aging and pioneering the journey towards women's health management. The Innovation. The Innovation Medicine 2(2): 100068

6. Tao Huang, Huiyu Xu (co-first), Haitao Wang, Yongjun Xu, Baohua Li, Shenda Hong, Guoshuang Feng, Shuyi Kui, Guangjian Liu, Dehua Jiang, Zhicheng Li, Ye Li, Congcong Ma, Chunyan Su, Wei Wang, Rong Li, Puxiang Lai, Jie Qiao. (2023) Artificial intelligence for medicine: Progress, challenges, and perspectives The Innovation Medicine 1(2): 100030

7. Huiyu Xu*, Mengqian Zhang*, Hongxian Zhang*, Kannan Alpadi, Lina Wang, Rong Li, Jie Qiao. Clinical Applications of Serum Anti-Müllerian Hormone Measurements in Both Males and Females: An Update. The Innovation 2021 2:100091.