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ORCIDMing Wang 0004
Person information
- affiliation: Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
- affiliation (PhD 2006): University of Maryland, MD, USA
Other persons with the same name
- Ming Wang — disambiguation page
- Ming Wang 0001
![[0000-0002-3704-6067]](https://google.otrosproyectosundfe.com/https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3704-6067")
— Shandong Jianzhu University, School of Information and Electrical Engineering, China (and 1 more) - Ming Wang 0002 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Ming Wang 0003 — China University of Geosciences, School of Mathematics and Physics, Wuhan, China (and 1 more)
- Ming Wang 0005 — Pennsylvania State University, College of Medicine, Hershey, PA, USA (and 1 more)
- Ming Wang 0006 — Northeastern University, Shenyang, China (and 1 more)
- Ming Wang 0007 — Inner Mongolia University, College of Electronic Information Engineering, Hohhot, China
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2020 – today
- 2026
[i1]Quan Zheng, Yuanhe Tian, Ming Wang, Yan Song:
Fine-grained Verbal Attack Detection via a Hierarchical Divide-and-Conquer Framework. CoRR abs/2601.06907 (2026)- 2025
- [j17]Tianchu Wang, Wentao Yang, Ziteng Xu, Wenwen Qi, Liam Taylor, Ming Wang, Wei Wu:
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing. Ecol. Informatics 90: 103252 (2025) - 2023
- [j16]Bohao Li, Kai Liu, Ming Wang, Yanfang Wang, Qian He, Linmei Zhuang, Weihua Zhu:
High-spatiotemporal-resolution dynamic water monitoring using LightGBM model and Sentinel-2 MSI data. Int. J. Appl. Earth Obs. Geoinformation 118: 103278 (2023) - [j15]Ziyu Jiang, Ming Wang, Kai Liu:
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu. Remote. Sens. 15(3): 798 (2023) - [j14]Junfei Liu, Kai Liu, Ming Wang:
A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets. Remote. Sens. 15(9): 2447 (2023) - 2022
- [j13]Kai Liu, Jianxin Zhang, Ming Wang:
Drivers of Groundwater Change in China and Future Projections. Remote. Sens. 14(19): 4825 (2022) - [j12]Bohao Li, Kai Liu, Ming Wang, Qian He, Ziyu Jiang, Weihua Zhu, Ningning Qiao:
Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning. Remote. Sens. 14(22): 5795 (2022) - 2021
- [j11]Kaiwen Li, Kai Liu, Ming Wang:
Robustness of the Chinese power grid to cascading failures under attack and defense strategies. Int. J. Crit. Infrastructure Prot. 33: 100432 (2021) - [j10]Jianxin Zhang, Kai Liu, Ming Wang:
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods. Remote. Sens. 13(3): 523 (2021) - [j9]Qian He, Ziyu Jiang, Ming Wang, Kai Liu:
Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods. Remote. Sens. 13(8): 1572 (2021) - 2020
- [j8]Jianxin Zhang, Kai Liu, Ming Wang:
Seasonal and Interannual Variations in China's Groundwater Based on GRACE Data and Multisource Hydrological Models. Remote. Sens. 12(5): 845 (2020)
2010 – 2019
- 2018
- [j7]Xiao-Bing Hu, Peijun Shi, Ming Wang, Mark S. Leeson:
Adaptive behaviors can improve the system consilience of a network system. Adapt. Behav. 26(1): 3-19 (2018) - [j6]Kai Liu, Ming Wang, Weihua Zhu, Jinshan Wu, Xiaoyong Yan:
Vulnerability analysis of an urban gas pipeline network considering pipeline-road dependency. Int. J. Crit. Infrastructure Prot. 23: 79-89 (2018) - 2016
- [j5]Xiao-Bing Hu, Ming Wang, Mark S. Leeson, Ezequiel A. Di Paolo, Hao Liu:
Deterministic Agent-Based Path Optimization by Mimicking the Spreading of Ripples. Evol. Comput. 24(2): 319-346 (2016) - 2014
- [j4]Xiao-Bing Hu, Ming Wang, Qian Ye, Zhangang Han, Mark S. Leeson:
Multi-objective new product development by complete Pareto front and ripple-spreading algorithm. Neurocomputing 142: 4-15 (2014) - [j3]Ming Wang, Wentao Yang, Peijun Shi, Chong Xu, Lianyou Liu:
Diagnosis of Vegetation Recovery in Mountainous Regions After the Wenchuan Earthquake. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(7): 3029-3037 (2014) - [c5]Xiao-Bing Hu, Ming Wang, Mark S. Leeson:
Calculating the complete pareto front for a special class of continuous multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2014: 290-297 - 2013
- [j2]Wentao Yang, Ming Wang, Peijun Shi:
Using MODIS NDVI Time Series to Identify Geographic Patterns of Landslides in Vegetated Regions. IEEE Geosci. Remote. Sens. Lett. 10(4): 707-710 (2013) - [j1]Xiao-Bing Hu, Ming Wang, Ezequiel A. Di Paolo:
Calculating Complete and Exact Pareto Front for Multiobjective Optimization: A New Deterministic Approach for Discrete Problems. IEEE Trans. Cybern. 43(3): 1088-1101 (2013) - [c4]Xiao-Bing Hu, Ming Wang, Qiong Sun, Mark S. Leeson, Ezequiel A. Di Paolo:
A ripple-spreading algorithm to calculate the k best solutions to the project time management problem. CISched 2013: 75-82 - [c3]Xiao-Bing Hu, Ming Wang, Qiong Sun, Mark S. Leeson, Ezequiel A. Di Paolo:
A ripple-spreading algorithm for route optimization. FOCI 2013: 52-59 - 2012
- [c2]Jian-Qin Liao, Xiao-Bing Hu, Ming Wang, Mark S. Leeson, Evor L. Hines, Ezequiel A. Di Paolo:
A ripple-spreading network model for the study of infectious disease transmission. BMEI 2012: 1004-1010 - 2010
- [c1]Xiao-Bing Hu, Mark S. Leeson, Evor L. Hines, Ming Wang, Ezequiel A. Di Paolo:
A review on ripple-spreading genetic algorithms for combinatorial optimization problems. IEEE ICCI 2010: 441-448
Coauthor Index
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