►智能传感器及检测：
[1] DenglongMa,Jianmin Gao, Zaoxiao Zhang, HongZhao, Gas recognition method based on the deep learning model of sensor array response map, Sensors and Actuators B: Chemical,Available online 23 December 2020, 2021,330:129349, https://doi.org/10.1016/j.snb.2020.129349
[2] Wang, J. , Xie, Y. , Zhang, Y. , Peng, B. , Li, Q. , Ma, D. , Z Zhang，X Huang. (2021). The ultrahigh discharge efficiency and energy density of p(vdf-hfp) via electrospinning-hot press with st-mma copolymer. Materials Chemistry Frontiers.
[3] Zhang, L. , Wei, Z. , Liu, P. , Wei, H. , Ma, D. (2021). Performance comparison of solid lead ion electrodes with different carbon-based nanomaterials as electron-ion exchangers. Sensors, 21(5).
[4] 夏锋社， 马登龙*（通讯作者），谭帏，王晓桥，基于传感器阵列动态响应可视化图谱的气体识别方法，化工自动化及仪表，46，800-804. 2019年
[5] D Ma, X Wu, J Gao, Z Zhang, X Zuo,CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 VariationACS Chemical Health & Safety 2021, 28 (5), 376-386
[6] Denglong Ma, Jianmin Gao,Zhiyong Gao, Hongquan Jiang,Zaoxiaozhang,Juntai Xie. Gas leakage recognition for CO2 geological sequestration based on the time series neural network,Chinese Journal of Chemical Engineering, June 2020, DOI: 10.1016/j.cjche.2020.06.014.
[7] D.Ma, Y Liu, L Zheng, J Gao, Z Gao, Z Zhang, Prediction of thermal-induced failure for electronic equipment based on artificial olfactory system, Measurement Science and Technology, Nov. 20,2020, Accepted. 2021 Meas. Sci. Technol. 32 035103
[8] 夏锋社, 马登龙*（通讯作者）,张晓明,王瑜, 毛维高,封储二氧化碳泄漏检测监测技术进展研究,安全与环境工程，2019年8月录用，2020,27（2），23-33.
[9] Denglong MA, Jianqiang Deng, Zaoxiao Zhang. CO2 leakage identification in geosequestration based on real time correlation analysis between atmospheric O2 and CO2. Chinese Journal of Chemical Engineering, 2014,22(6):634-642.
[10] Denglong Ma, Jianqiang Deng, Zaoxiao Zhang. Correlation analysis for online CO2 leakage monitoring in geological sequestration. Energy Procedia, 37 (2013), 4374 – 4382.
[11]马登龙, 贾剑平, 黄德承.工业浮游物含量在线测控系统的设计与实现，化工自动化及仪表, 2009,1.[
[12]马登龙，贾剑平. 工业浆液悬浮物含量在线监控软件设计与实现，计算机与应用化学，2010,4.
[13]Denglong Ma*, Ao Liu, Zhitao Fan, Ruitao Wu, Jianmin Gao, Hong Zhao, Zaoxiao Zhang,Xin Zuo，Recognition Based on Wide-band Infrared Imaging with Auxiliary Excitation Method and Machine Learning Model，Publication Date:September 5, 2022，https://doi.org/10.1021/acs.chas.2c00045
[14]Denglong Ma, Chang Liu, Fangjun Wu, Zekang Li.The quality detection and recognition for food seasoning based on artificial olfactory system，IEEE Instrumentation & Measurement Magazine，accepted，2022
[15]何佳霖，马登龙，覃荣卓，张广森，解云川，高建民，张早校，新型柔性压电薄膜在管道泄漏检测中的应用, 学报，2023,57（2）：8；
[16][李欢, 刘元, 刘相蕊, 马峰, 马登龙, 谢军太. (2022). 基于超声导波的管道缺陷检测及数值模拟研究. 石油仪器(008-004).
[17]Denglong Ma, Weigao Mao, Guangsen Zhang, Chaoyi Liu, Yi Han, Xiaoming Zhang, Hansheng Wang, Kang Cen, Wan Lu, Denghui Li, Hanyue Zhang. Dynamic risk assessment of gas pipeline operation process by fusing visual and olfactory monitoring. Journal of Safety Science and Resilience,2024, 5(2): 156-166.
[18]Denglong MA et al., Visual detection and identification of gas outflow based on physical-algorithmic coupled enhancement method，Flow Measurement and Instrumentation，202496(5):102567
[19]Denglong Ma,*Ao Liu, Zhitao Fan, Ruitao Wu, Jianmin Gao, Hong Zhao, Zaoxiao Zhang, and Xin Zuo，Gas Leakage Recognition Based on Wide-Band Infrared Imagingwith the Auxiliary Excitation Method and Machine Learning Model，ACS Chem. Health Saf. 2024
►嗅觉导航机器人：
[1] Denglong Ma , Guofang Xie, Weigao Mao, Jianmin Gao, Hang Yi , and Dangchao Li, Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios, Atmosphere 2022, 13, 661. https://doi.org/10.3390/atmos13050661
[2] D Ma, W Mao, W Tan, J Gao, Z Zhang, Y Xie ,Emission source tracing based on bionic algorithm mobile sensors with artificial olfactory system,Robotica,2021， 1-21；
[3]马登龙, 谭帏, 曾群峰,等. 基于仿生搜索的气体泄漏自动溯源方法研究[C]// 第六届CCPS中国过程安全会议. 2018
[4]马登龙，谭帏,王晓桥，夏锋社, 基于仿生搜索的气体泄漏自动溯源方法研究,2018公共安全科学技术年会，佛山，2018.11.14-16.
►智能气体泄漏释放溯源：
[1] Y Zhao, Chen, B. , Zhu, Z. , Chen, F. , Ma, D. (2020). Entrotaxis-jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint. Expert Systems with Applications, 157, 113484.
[2]Ma D, Gao J, Zhang Z, et al. Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods[J]. Stochastic Environmental Research and Risk Assessment, 2021: 1-16
[3]Ma D, Gao J, Zhang Z, et al. Locating the gas leakage source in the atmosphere using the dispersion wave method[J]. Journal of Loss Prevention in the Process Industries, 2019: 104031.
[4] Denglong Ma, Jianmin Gao, Zaoxiao Zhang and Qingsheng. Wang, "An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere," in IEEE Access, vol. 7, pp. 111923-111930, 2019.doi: 10.1109/ACCESS.2019.2935308
[5] Denglong Ma, Wei Tan, Qingsheng Wang, Zaoxiao Zhang, Jianmin Gao, Qunfeng Zeng, Xiaoqiao Wang, Fengshe Xia, Xingmin Shi，Application and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphere，Journal of Loss Prevention in the Process Industries，DOI: 10.1016/j.jlp.2018.09.008，Accepted Date: 15 September 2018, 56 (2018) 262–271.
[6] Denglong Ma, Wei Tan, Qingsheng Wang, Zaoxiao Zhang, Jianmin Gao, Xiaoqiao Wang, Fengshe Xia. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution, Process Safety and Environmental Protection,accepted May 25,2018. Volume 117, July 2018, 498-510.
[7] Denglong Ma, Wei Tan Qingsheng Wang, Zaoxiao Zhang,Application of Group Intelligent Optimization Algorithm in Gas Emission Source Identification, 2018 Spring Meeting and 14th Global Congress on Process Safety,Orlando, Florida ,April 22 – 25, 2018。
[8]Ma D.L., Tan W., Zhang Z.X.Hu Jun., Parameter identification for continuous point emission source based on Tikhonov regularization method coupled with particle swarm optimization algorithm[J], Journal of Hazardous Materials, 2017,325:239-250.
[9] Denglong Ma , Zaoxiao Zhang , Contaminant dispersion prediction and source estimation with integrated Gaussian-Machine learning network model for point source emission in atmosphere, Journal of Hazardous Materials, 2016,311:237-245.
[10] Ma D.L., Tan W., Zhang Z.X.Hu Jun, Gas emission source term estimation with 1-step nonlinear partial swarm optimization-Tikhonov regularization hybrid method, Chinese Journal of Chemical Engineering ，2018, 26（2）： 356-363,
[11] Denglong Ma, Wei Tan , Zaoxiao Zhang,Xiaoqiao Wang, Jun Hu,Recognition of leak CO2 with wavelet analysis based on correlation monitoring between CO2 and O2 in atmosphere, Process Safety and Environmental Protection,( Available online 18 December 2017)，2017，DOI ： 10.1016/j.psep.2017.12.009，Volume 114, February 2018, Pages 64–78.
[12] Denglong MA, Jianqiang Deng, Zaoxiao Zhang. Comparison and improvements of optimization methods for gas emission source identification, Atmospheric Environment，2013,81：188-198.
[13] Denglong Ma, Simin Wang, Zaoxiao Zhang. ,Hybrid algorithm of minimum relative entropy-particle swarm optimization with regularization parameters for gas source term identification, Atmospheric Environment, 2014.94:637-640.
[14] 马登龙，谭帏,王晓桥，夏锋社, 群智能优化算法在气体泄漏源辨识中的应用,2017公共安全科学技术年会，北京，2017.11.10-12.
[15] Denglong Ma, Zaoxiao Zhang. Leakage source parameters identification for CO2 sequestration based on Occam method, Energy Procedia, 63 (2014), 3815–3820.
►装备及材料安全失效机理和防护：
[1]]Ma D.L., Tan W., Zhang Z.X, Numeric Study on Propellant Leakage in Atmospheric Environment, ASME 2017 Pressure Vessels and Piping Conference, Volume 1B: Codes and Standards,Waikoloa, Hawaii, USA, July 16–20, 2017
[2] 马登龙，邓建强，张早校. 地质封存中CO2 泄漏的非稳态扩散数值模拟研究.学报,2012,46(9).
[3]Denglong Ma, Xinxin Cao, Zaoxiao Zhang, Numerical study on gas purging process in pipeline, 13th International Conference on Pressure Vessel Technology (ICPVT-13), 20 May-23 May 2012, London.
[4]马登龙，邓建强，张早校. 数值模拟研究大气环境下推进剂泄漏安全, 中国化学会第六届全国化学推进剂学术会议，酒泉，2013年9月.
[5] 胡 军，马登龙，张早校, 镍基合金腐蚀极化曲线的量子力学解释, 稀有金属材料与工程, 2014.43（5），1173-1176
[6]马登龙, 梁燕萍. 铝合金表面无铬导电转化膜工艺改进研究， 表面技术, 2008, 5.
[7]第五方, 马登龙.铝合金表面无铬导电转化膜的制备工艺.材料保护, 2009,1.
[8]吴瑞涛,马登龙,马峰等. 液压机构阶梯型同轴密封件（斯特圈）仿真分析[C]//中国仿真学会.第三十三届中国仿真大会论文集.,2021:10.DOI:10.26914/c.cnkihy.2021.025008.
►能源系统负荷预测：
[1]Denglong Ma,Ruitao Wu,Zekang Li,Kang Cen,Jianmin Gao,Zaoxiao Zhang,A new method to forecast multi-time scale load of natural gas based on augmentation data-machine learning model，Chinese Journal of Chemical Engineering， Available online 3 January. https://doi.org/10.1016/j.cjche.2021.11.023
