| Contaminant dispersion prediction and source estimation with integrated Gaussian-machine learning network model for point source emission in atmosphere D Ma, Z Zhang Journal of hazardous materials 311, 237-245, 2016 | 93 | 2016 |
| Parameter identification for continuous point emission source based on Tikhonov regularization method coupled with particle swarm optimization algorithm D Ma, W Tan, Z Zhang, J Hu Journal of hazardous materials 325, 239-250, 2017 | 82 | 2017 |
| Comparison and improvements of optimization methods for gas emission source identification D Ma, J Deng, Z Zhang Atmospheric Environment 81, 188-198, 2013 | 75 | 2013 |
| Gas recognition method based on the deep learning model of sensor array response map D Ma, J Gao, Z Zhang, H Zhao Sensors and Actuators B: Chemical 330, 129349, 2021 | 51 | 2021 |
| Hybrid algorithm of minimum relative entropy-particle swarm optimization with adjustment parameters for gas source term identification in atmosphere D Ma, S Wang, Z Zhang Atmospheric environment 94, 637-646, 2014 | 41 | 2014 |
| Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint Y Zhao, B Chen, Z Zhu, F Chen, Y Wang, D Ma Expert Systems with Applications 157, 113484, 2020 | 30 | 2020 |
| Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere D Ma, W Tan, Q Wang, Z Zhang, J Gao, Q Zeng, X Wang, F Xia, X Shi Journal of Loss Prevention in the Process Industries 56, 262-271, 2018 | 26 | 2018 |
| Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution D Ma, W Tan, Q Wang, Z Zhang, J Gao, X Wang, F Xia Process Safety and Environmental Protection 117, 498-510, 2018 | 23 | 2018 |
| An improved firefly algorithm for gas emission source parameter estimation in atmosphere D Ma, J Gao, Z Zhang, Q Wang IEEE Access 7, 111923-111930, 2019 | 18 | 2019 |
| Locating the gas leakage source in the atmosphere using the dispersion wave method D Ma, J Gao, Z Zhang, H Zhao, Q Wang Journal of Loss Prevention in the Process Industries 63, 104031, 2020 | 15 | 2020 |
| Gas emission source term estimation with 1-step nonlinear partial swarm optimization–Tikhonov regularization hybrid method D Ma, W Tan, Z Zhang, J Hu Chinese journal of chemical engineering 26 (2), 356-363, 2018 | 14 | 2018 |
| Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods D Ma, J Gao, Z Zhang, H Zhao Stochastic Environmental Research and Risk Assessment 35, 271-286, 2021 | 12 | 2021 |
| CO2 leakage identification in geosequestration based on real time correlation analysis between atmospheric O2 and CO2 MA Denglong, D Jianqiang, Z ZHANG Chinese Journal of Chemical Engineering 22 (6), 634-642, 2014 | 12 | 2014 |
| Correlation analysis for online CO2 leakage monitoring in geological sequestration D Ma, J Deng, Z Zhang Energy Procedia 37, 4374-4382, 2013 | 11 | 2013 |
| Recognition of leak CO2 with wavelet analysis based on correlation monitoring between CO2 and O2 in atmosphere D Ma, W Tan, Z Zhang, X Wang, F Xia, J Hu Process Safety and Environmental Protection 114, 64-78, 2018 | 10 | 2018 |
| Investigation of gas purging process in pipeline by numerical method D Ma, Z Zhang, Y Li Process Safety and Environmental Protection 94, 274-284, 2015 | 9 | 2015 |
| Gas leakage recognition for CO2 geological sequestration based on the time series neural network D Ma, J Gao, Z Gao, H Jiang, Z Zhang, J Xie Chinese Journal of Chemical Engineering 28 (9), 2343-2357, 2020 | 8 | 2020 |
| A new method to forecast multi-time scale load of natural gas based on augmentation data-machine learning model D Ma, R Wu, Z Li, K Cen, J Gao, Z Zhang Chinese Journal of Chemical Engineering 48, 166-175, 2022 | 7 | 2022 |
| Numerical study on unsteady state dispersion of leakage CO (2) from geological sequestration D Ma, J Deng, Z Zhang Journal of Xi'an Jiaotong University 46 (9), 2012 | 7 | 2012 |
| Emission source tracing based on bionic algorithm mobile sensors with artificial olfactory system D Ma, W Mao, W Tan, J Gao, Z Zhang, Y Xie Robotica 40 (4), 976-996, 2022 | 6 | 2022 |
