| Host–microbe relationships in inflammatory bowel disease detected by bacterial and metaproteomic analysis of the mucosal–luminal interface LL Presley, J Ye, X Li, J LeBlanc, Z Zhang, PM Ruegger, J Allard, ... Inflammatory bowel diseases 18 (3), 409-417, 2012 | 74 | 2012 |
| Blood protein predictors of brain amyloid for enrichment in clinical trials? NJ Ashton, SJ Kiddle, J Graf, M Ward, AL Baird, A Hye, S Westwood, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (1), 48-60, 2015 | 47 | 2015 |
| Blood protein markers of neocortical amyloid-β burden: a candidate study Using SOMAscan technology N Voyle, D Baker, SC Burnham, A Covin, Z Zhang, DP Sangurdekar, ... Journal of Alzheimer's Disease 46 (4), 947-961, 2015 | 40 | 2015 |
| Systems and methods for validating wind farm performance measurements SC Evans, Z Zhang, PA Gregg, SG Iyengar US Patent 9,644,612, 2017 | 15 | 2017 |
| Towards wind farm performance optimization through empirical models SC Evans, Z Zhang, S Iyengar, J Chen, J Hilton, P Gregg, D Eldridge, ... 2014 IEEE Aerospace Conference, 1-12, 2014 | 7 | 2014 |
| Co-clustering spatial data using a generalized linear mixed model with application to the integrated pest management Z Zhang, DR Jeske, X Cui, M Hoddle Journal of agricultural, biological, and environmental statistics 17 (2 …, 2012 | 7 | 2012 |
| Systems and methods for validating wind farm performance improvements SC Evans, Z Zhang, PA Gregg, KW Kinzie, WA Flodder, MN Jonkhof, ... US Patent 10,487,804, 2019 | 6 | 2019 |
| Biclustering scatter plots using data depth measures Z Zhang, X Cui, DR Jeske, J Borneman Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (2 …, 2013 | 5 | 2013 |
| Clustering Scatter Plots Using Data Depth Measures Z Zhang, X Cui, DR Jeske, X Li, J Braun, J Borneman The 2010 International Conference on Data Mining, DMIN 2010, 327-333, 2010 | 5 | 2010 |
| System and method for controlling power production from a wind farm S Ghosh, A Mondal, N Doganaksoy, H Liu, Z Zhang, RA Kaucic, JZ Cao US Patent App. 15/601,145, 2017 | 3 | 2017 |
| Wind farm performance validation through machine learning: sector-wise Honest Brokers SC Evans, Z Zhang, S Iyengar, P Gregg, M Jonkhof 2015 IEEE Aerospace Conference, 1-8, 2015 | 2 | 2015 |
| Clustering: algorithm, optimization and inference Z Zhang UC Riverside, 2011 | 2 | 2011 |
| System and method for forecasting power output of a wind farm RA Kaucic, Z Zhang, S Ghosh, H Liu, N Doganaksoy US Patent App. 16/303,243, 2019 | 1 | 2019 |
| Time series: a data analysis approach using R: by Robert H. Shumway and David S. Stoffer. Chapman & Hall/CRC Press. 2019. 259 pp. $63.96 hardcover, ISBN 978-0-367-22109-6. Z Zhang Journal of Quality Technology, 1-2, 2020 | | 2020 |
| Book Review: "Computer Age Statistical Inference" Z Zhang Interfaces 48 (3), 285-286, 2018 | | 2018 |
| Sample selection using hybrid clustering and exposure optimization JA Cline, K Long, R Xu, Z Zhang US Patent App. 14/550,405, 2016 | | 2016 |
| P3‐113: NOVEL CANDIDATE BLOOD PROTEOME MARKERS OF ALZHEIMER'S DISEASE BRAIN AMYLOID BURDEN: A MULTIPLEX TMT‐LC/MS‐MS DISCOVERY APPROACH C Bazenet, N Ashton, S Kiddle, L Thurfjell, J Graf, M Ward, A Baird, A Hye, ... Alzheimer's & Dementia 10, P669-P670, 2014 | | 2014 |
| P1‐166: DISTINCT BLOOD PROTEIN MARKERS ARE ASSOCIATED WITH BRAIN REGIONS OF EARLY AMYLOID DEPOSITION IN ALZHEIMER'S DISEASE NJ Ashton, SJ Kiddle, L Thurfjell, J Graf, M Ward, AL Baird, A Hye, ... Alzheimer's & Dementia 10, P360-P361, 2014 | | 2014 |
| F5‐02‐02: DISTINCT BLOOD PROTEIN MARKERS ARE ASSOCIATED WITH GLOBAL AND REGIONAL BRAIN BETA‐AMYLOID DEPOSITION IN ALZHEIMER'S DISEASE NJ Ashton, A Hye, A Baird, A Torres, A Covin, C Bazenet, C Tan‐Hehir, ... Alzheimer's & Dementia 10, P283-P283, 2014 | | 2014 |
| Clustering Scatter Plots Using Data Depth Measures. Zhanpan Zhang, Xinping Cui, Daniel R. Jeske, Xiaoxiao Li, Jonathan Braun ... Journal of Biometrics & Biostatistics, 2011 | | 2011 |
