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ORCIDPing Zhang 0008
Person information
- affiliation: Bond University, Faculty of Health Sciences and Medicine, Robina, QLD, Australia
Other persons with the same name
- Ping Zhang — disambiguation page
- Ping Zhang 0001 — University of California at San Diego, San Diego, CA, USA
- Ping Zhang 0002
![[0000-0003-0663-1850]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0663-1850")
— Syracuse University, Syracuse, NY, USA - Ping Zhang 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (and 2 more)
- Ping Zhang 0004 — Western Michigan University, Kalamazoo, MI, USA
- Ping Zhang 0005 — Alcorn State University, USA
- Ping Zhang 0006 — Tianjin University, School of Civil Engineering, China
- Ping Zhang 0009 — Peking University, Key Laboratory of Machine Perception, Beijing, China
- Ping Zhang 0010 — Department of Biomedical Engineering, Indiana University
- Ping Zhang 0011 — Hydrospheric & Biospheric Sci. Lab., NASA's Goddard Space Flight Center, Greenbelt, MD, USA
- Ping Zhang 0013 — Avaya Labs Research, Basking Ridge, NJ, USA
- Ping Zhang 0014 — Department of Manufacturing Engineering, Boston University, Boston, MA, USA
- Ping Zhang 0015 — South China University of Science and Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Ping Zhang 0016 — Ohio State University, Columbus, OH, USA (and 2 more)
- Ping Zhang 0017 — Department of Computer and Information Science, Indiana University Purdue University, Indianapolis, IN, USA
- Ping Zhang 0018 — Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China
- Ping Zhang 0019 — China Agricultural University, College of Natural Resources and Environmental Sciences, Beijing, China
- Ping Zhang 0020 — University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, Hefei, China
- Ping Zhang 0021 — Chongqing University, Journals Department, China
- Ping Zhang 0022 — University of Kaiserslautern, Institute of Automatic Control, Germany (and 1 more)
- Ping Zhang 0023 — University of Electronic Science and Technology of China, School of Optoelectronic Science and Engineering, Chengdu, China
- Ping Zhang 0024 — Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Beijing, China
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Journal Articles
- 2022
[j11]Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang:
Building a knowledge base for colorectal cancer patient care using formal concept analysis. BMC Medical Informatics Decis. Mak. 21-S(11): 369 (2022)- 2020
- [j10]Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler:
Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury. BMC Bioinform. 21-S(17): 481 (2020) - 2019
- [j9]Ping Zhang, Nicholas P. West, Pin-Yen Chen, Mike W. C. Thang, Gareth Price, Allan Cripps, Amanda J. Cox:
Selection of microbial biomarkers with genetic algorithm and principal component analysis. BMC Bioinform. 20-S(6): 413 (2019) - [j8]Pin-Yen Chen, Allan Cripps, Nicholas P. West, Amanda J. Cox, Ping Zhang:
A correlation-based network for biomarker discovery in obesity with metabolic syndrome. BMC Bioinform. 20-S(6): 477 (2019) - 2018
- [j7]Ping Zhang, Constantinos A. Georgiou, Vladimir Brusic:
Elemental metabolomics. Briefings Bioinform. 19(3): 524-536 (2018) - 2017
- [j6]Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, Stephan K. Chalup:
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. Neurocomputing 247: 39-58 (2017) - 2015
- [j5]Luke Vandewater, Vladimir Brusic, William J. Wilson, Lance S. Macaulay, Ping Zhang:
An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression. BMC Bioinform. 16(S18): S1 (2015) - 2014
- [j4]Piers Johnson, Luke Vandewater, William J. Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang:
Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease. BMC Bioinform. 15(S-16): S11 (2014) - 2009
- [j3]Francesco Pappalardo, Mark D. Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew P. J. Emerson, Paola Paci, Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J. Shepherd, David S. Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo Motta, Pierluigi Lollini, Kaye E. Basford, Vladimir Brusic:
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings Bioinform. 10(3): 330-340 (2009) - 2007
- [j2]Brijesh K. Verma, Ping Zhang:
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms. Appl. Soft Comput. 7(2): 612-625 (2007) - 2005
- [j1]Ping Zhang, Brijesh K. Verma, Kuldeep Kumar:
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognit. Lett. 26(7): 909-919 (2005)
Conference and Workshop Papers
- 2022
- [c17]A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke Haseler, Meghan McConnell, Ping Zhang:
Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. BIBM 2022: 3535-3540 - [c16]Tahera Ahmed, Ping Zhang, Kuldeep Kumar:
Dietary Balance in Alzheimer's Patients vs. Healthy People. BIBM 2022: 3541-3548 - 2021
- [c15]Tahera Ahmed, Ping Zhang, Kuldeep Kumar:
Socio-demographic, Lifestyle and Neuropsychological Risk Factors on Alzheimer's Disease. BIBM 2021: 3251-3258 - [c14]Kuldeep Kumar, Gulasekaran Rajaguru, Ping Zhang:
Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. BIBM 2021: 3275-3279 - 2020
- [c13]Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang:
Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients. BIBM 2020: 1335-1339 - 2019
- [c12]Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler:
Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies. BIBM 2019: 2222-2227 - 2018
- [c11]Pin-Yen Chen, Nicholas P. West, Ping Zhang, Amanda J. Cox, Allan Cripps:
Correlation-based network analysis for biomarkers in obesity. BIBM 2018: 1361-1366 - [c10]Jin-Peng Qi, Ying Zhu, Ping Zhang:
A WED Method for Evaluating the Performance of Change-Point Detection Algorithms. BIBM 2018: 1406-1410 - [c9]Ping Zhang, Nicholas P. West, Pin-Yen Chen, Allan Cripps, Amanda J. Cox:
Combination of Principal Component Analysis and Genetic Algorithm for Microbial Biomarker Identification in Obesity. BIBM 2018: 1439-1444 - 2017
- [c8]Ping Zhang, Amanda J. Cox, Allan Cripps, Nicholas P. West:
Integrated biomedical data analysis utilizing various types of data for biomarkers identification. BIBM 2017: 1469-1475 - 2013
- [c7]Ping Zhang, Lou Chitkushev, Vladimir Brusic, Guanglan Zhang:
Biomarkers in Immunology: from Concepts to Applications. BCB 2013: 826 - 2010
- [c6]Ping Zhang, Jenny Doust, Kuldeep Kumar:
Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to Radiologists. ICMB 2010: 363-372 - 2008
- [c5]Ping Zhang, Vladimir Brusic, Kaye E. Basford:
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules. ICONIP (1) 2008: 529-536 - 2007
- [c4]Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic:
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. PRIB 2007: 337-348 - 2006
- [c3]Ping Zhang, Kuldeep Kumar:
Analyzing Feature Significance from Various Systems for Mass Diagnosis. CIMCA/IAWTIC 2006: 141 - 2005
- [c2]Ping Zhang, Kuldeep Kumar, Brijesh K. Verma:
A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. FSKD (2) 2005: 316-319 - 2003
- [c1]Ping Zhang, Brijesh K. Verma, Kuldeep Kumar:
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. IEEE Congress on Evolutionary Computation 2003: 1206-1213
Coauthor Index
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