Dr. Wen Zhang

Icahn School of Medicine at Mount Sinai, USA

Email: zhang.wen81@gmail.com

Qualifications

2012 M.S., Michigan Technological University, USA

2009 Ph.D., Shanghai University, China

2002 B.S., Shanghai Normal university, China

Publications (Selected)

1. Z.H. Yang, W. Zhang, Y.M. Chu. Sharp Gautschi inequality for parameter 0 < p < 1 with applications. Mathematical Inequalities & Applications. In press.
2. Y.M. Chu, W.M. Qian, Z.H. Yang, W. Zhang. Monotonicity Rule for the Quotient of Two Functions and Its Application. Journal of Inequalities and Applications. (2017) 2017:106. DOI 10.1186/s13660-017-1383-2.
3. Zhao, T. H., Chu, Y. M, Zhang, W., Optimal inequalities for bounding Toader mean by arithmetic and quadratic means. Journal of Inequalities and Applications. 2017:26. DOI: 10.1186/s13660-017-1300-8.
4. Yang, Z. H., Zhang, W., Chu, Y. M., Monotonicity of the incomplete gamma function with applications. Journal of Inequalities and Applications. 2016:251. DOI: 10.1186/s13660-016-1197-7.
5. Yang, Z. H., Zhang, W., Chu, Y. M., Monotonicity and inequalities involving the incomplete gamma function. Journal of Inequalities and Applications. 2016:221. DOI: 10.1186/s13660-016-1160-7.
6. Chu, H.H., Yang, Z.H., Chu, Y.M., Zhang, W. Generalized Wilker-type inequalities with two parameters. Journal of Inequalities and Applications. 2016:187. DOI: 10.1186/s13660-016-1127-8
7. Yang, Z. H., Chu, Y. M., Zhang, W., Monotonicity of the Ratio for the Complete Elliptic Integral and Stolarsky Mean. Journal of Inequalities and Applications. 2016(1): 176. DOI: 10.1186/s13660-016-1113-1.
8. Yang, Z. H., Chu, Y. M., Zhang, W., Accurate approximations for the complete elliptic integral of the second kind. Journal of Mathematical Analysis and Applications. 06/2016, 438(2), pp. 875–888.
9. Zhang, Q., Nogales-Cadenas, R., Lin, JR., Zhang, W, et al, Systems-level analysis of human aging genes shed new light on mechanisms of aging. Human Molecular Genetics. 2016(0):1-14. DOI:10.1093/hmg/ddw145.
10. Chu, H.H., Yang, Z.H., Zhang, W., Chu, Y.M., Improvements of the Bounds for Ramanujan Constant Function. Journal of Inequalities and Applications. 2016:196. DOI 10.1186/s13660-016-1140-y.
11. Zhang, Q., Zhang, W, Nogales-Cadenas, R., et al, From gene expression to disease phenotypes: network-based approaches to study complex human diseases. Transcriptomics and Gene Regulation Translational Bioinformatics 2016, 9: 115-140.
12. Zhang, W., Lin, Z. R., Nogales-Cadenas, R., et al, Prioritization of schizophrenia risk genes by a network-regularized logistic regression method. IWBBIO, Vol. 9656 von Lecture Notes in Computer Science, Seite 434-445. Springer, 2016. DOI: 10.1007/978-3-319-31744-1_39.
13. Nogales-Cadenas, R., Cai, Y., Lin, JR., Zhang, Q., Zhang, W, et al, MicroRNAs expression and gene regulation drive breast cancer progression and metastasis in PyMT mice. Breast Cancer Research. 2016, 18(1): 75.
14. Wang, M. K., Zhang, W., Chu, Y. M. Monotonicity, Convexity and Inequalities for Some Functions Involving the Generalized Elliptic Integrals. Journal of Mathematical Analysis and Applications. Submitted.
15. M. Hauberg, W. Zhang, C. Giambartolomei, O. Franzén, et al. Large-scale Identification of Common Trait and Disease Variants Affecting Gene Expression. American Journal of Human Genetics. 2017. DOI: 10.1016/j.ajhg.2017.04.016.
16. Lin, Z. R., Cai, Y., Zhang, Q, Zhang, W, et al, Integrated post-GWAS analysis shed new light on the disease mechanisms of schizophrenia. Genetics. 2016; DOI: 10.1534/genetics.116.187195.
17. Zhang, W., Wan, Y. W., Liu, Z. D. et al, Molecular pathway identification using biological network-regularized logistic models. BMC Genomics 14 Suppl 8: S7. Also in International Conference on Intelligent Biology and Medicine (ICIBM 2013), Nashville, TN.
18. Su, J., Zhang, L., Zhang, W., Chang, J., Zhou, X. B., et al. Targeting the Biophysical Properties of the Myeloma Initiating Cell Niches: A Pharmaceutical Synergism Analysis Using Multi-scale Agent-based Modeling. PLoS One. 2014,9(1): e85059 doi:10.1371/journal.pone.0085059.
19. Jiang, B., Zhang, L., Zhang, W., Struthers, A., Berens, M., and Zhou, X., Accelerate numerical diffusion solver of 2D multiscale and multi-resolution agent-based brain cancer model by employing graphics processing unit technology, The 2011 International Conference on Biocomputation, Proceedings of BIOCOMP'11, Las Vegas, NV 2011, pp. 523-528.
20. Su, J., Choi, D. S., Zhang, W. et al. Modeling the Biomechanical Roles of Cancer Stem Cell Niche in Myeloma Development. Biophysical Journal. 01/2012; 102(3):731-. DOI: 10.1016/j.bpj.2011.11.3965.
21. Ma, H., Qin, T., and Zhang, W*., An efficient Chebyshev Algorithm for the solution of optimal control problems, IEEE Transactions on Automatic Control, 56(3), 2011, pp. 675-680.
22. Zhang, W*., Ma, H., The Chebyshev-Legendre collocation method for a class of optimal control problems. International Journal of Computer Mathematics, 85(2), 2008, pp. 225-240.
23. Zhang, W.*, Ma, H., Chebyshev-Legendre method for discretizing optimal control problems. Journal of Shanghai University (English Version), 13(2), pp. 113-118, 2009.
24. Zhang, W.*, Zhang, G., Improved rule-based backward fuzzy reasoning algorithm‚ Journal on communication‚ 29(2): 101-105 Feb. 2008.
25. Zhang, W., A numerical method for solving nonsmooth optimal control problems (in Chinese), Appl. Math. A, J. Chinese Univ. (A Series), vol. 24, no. 2, pp. 207-220, 2009.
26. Zhang, W.*, Zhang, G., An improved rule-based weighted fuzzy reasoning algorithm‚ Computer Engineering‚ in Chinese, 33(7): 15-17, Apr 2007.
27. Zhang, W.*, Ma, H., The Chebyshev-Legendre pseudospectral methods for Linear-Quadratic optimal control problems. Numerical computation and computer application. 2009(2).
28. Su, J., Choi, D. S., Zhang, W., Jiang, B., Zhang, L., Chang, J., Zu, Y., and Zhou, X.B., Modeling the Biomechanical Roles of Cancer Stem Cell Niche in Myeloma Development, The Biophysical Society 56th Annual Meeting in San Diego, California (2012).