马 新 (博士、副教授、硕士生导师)

基本信息

• 工作单位： 西南科技大学

• 邮箱: maxin@swust.edu.cn

  Google Page ,Research Gate

• 个人主页： https://maxin.website/

个人简介

马新（1989-03），男，汉族。2016年毕业于西南石油大学石油与天然气工程（石油工程计算技术）专业（教育部第四轮评估A+学科），获工学博士学位，比利时鲁汶大学(KU Leuven)访问学者。长期从事灰色系统、机器学习及其在能源工程中的应用和软件开发的研究工作。近年来主持国家自然科学基金、教育部人文社科研究项目、全国统计研究项目、国家重点实验室开放基金项目各1项；共发表SCI论文100余篇，累计影响因子超过300，论著被引 8000 余次。其中第一作者SCI论文21篇（累计影响因子>70），通讯作者SCI/SSCI论文30篇(累计影响因子>140)。第一作者论文中5篇进入ESI全球前1‰之列（Hot Paper）,10篇进入ESI全球前1%高被引论文之列，通讯作者论文5篇进入ESI全球前1%高被引论文之列,3篇进入ESI全球前1‰之列（Hot Paper），另有10余篇合著论文进入ESI高被引论文, 5篇论文进入Hot Paper之列；登记软件著作权1项。2018年分别获得GSUA国际学术会议优秀会议论文奖，全国石油化工行业优秀论文三等奖各1项。现担任中国优选法统筹法与经济数学研究会灰色系统专业委员会理事，国际SCI杂志 Journal of Grey System 编委，多部国际SCI杂志特刊客座编辑，IEEE TNNLS, Applied Energy, Energy Economics 等国际顶级期刊审稿人。2021年11月入选ESI全球高被引学者（交叉学科领域，Clarivate官方发布)，2023-2024年连续入围全球前2%顶尖科学家-终身榜（1960-2022、1961-2023），2020-2024年连续入围全球前2%顶尖科学家-年度榜(Elsevier官方发布)。

学习及工作经历

• 2020/07--- 至今, 西南科技大学，硕士研究生导师（数学、工商管理、MBA）
• 2019/12--- 至今, 西南科技大学，副教授
• 2019/04--- 2019/07, ESAT, KU Leuven (鲁汶大学), 访问学者，合作导师 Johan Suykens
• 2016/07--- 2019/12, 西南科技大学，讲师
• 2013/09--- 2016/06, 西南石油大学，石油工程计算技术，工学博士
• 2010/09--- 2013/06, 西南石油大学，石油工程计算技术，工学硕士
• 2006/09--- 2010/06, 西华大学，数学与应用数学，理学学士

主要研究方向

• 灰色系统
• 机器学习
• 智能优化算法
• 能源预测
• 软件工程

主讲课程

本专科：《高等数学》(本、专)、《算法设计与分析》(本)、《计量经济学》(本)、《机器学习》(本)、《经济数学》(专)

研究生：《机器学习》、《模糊数学》

全校公选课（课程负责人）：《灰色预测建模原理及应用》

主持和参与科研项目情况

• 主持科研项目：
• (1) 2020年1月---2022年12月  融合深度核学习的灰色预测建模方法及其应用研究，国家自然科学基金青年基金，主持。  
• (2) 2019年3月---2023年9月 基于灰色小波核学习的我国天然气短期安全消费峰值预测预警研究，教育部人文社科基金青年基金，主持。
• (3) 2018年9月---2021年8月 灰色深度神经网络及在能源消费废气排放预测中的应用，全国统计科学研究项目，主持。
• (4) 2017年12月-- 2021年10月 基于 Arps 递减和进化超限学习机的油藏产量预测分析研究， 油气藏地质及开发工程国家重点实验室开放基金，主持。
• (5) 2022年10月---2022年12月 深层页岩气体积压裂数据分析与建模实验，中国石油化工股份有限公司西南油气分公司（石油工程技术研究院），33.4235 万元，主持。

• 参与科研项目：
• (1) 2011年9月---2014年4月 油气藏工程方法软件包研制与开发应用，中石油华北油田公司校企合作项目，经费：102万元，主研人员。
• (2) 2012年5月---2012年12月 修井作业施工效果评价系统研究，中石油大港油田公司合作项目，经费：53万元，主研人员。
• (3) 2011年10月---2012年9月 长庆油田采油作业区开发管理考评系统研究，中石油长庆油田公司合作项目，经费：70万元，主研人员。
• (4) 2010年11月---2012年4月 苏丹 1/2/4区控水稳油综合治理技术研究，中石油大庆油田勘探开发研究院项目, 经费：80万元， 参与研究。

审稿期刊

IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Applied Energy, Applied Mathematical Modelling, Energy Economics, Technological Forecasting And Social Change, Energy, Knowledge-Based Systems, Energy Strategy Reviews, Communications in Nonlinear Science and Numerical Simulation, Engineering Applications of Artificial Intelligence, Energy Reports, Sustainable Production and Consumption, Physica A: Statistical Mechanics and its Applications, PLOS ONE, Sensors, Journal of Grey System, Grey Systems-Theory and Application, Chaos Solitons and Fractals, Journal of Ambient Intelligence & Humanized Computing, IEEE Access, Kybernetes, AIMS Mathematics, etc..

发表论著（时间降序）

注：ResearchGate主页持续更新论文信息和大部分全文！查看完整论著列表 (论文分区按发表当年最高分区统计)。

第一作者论文

1. Xin Ma, Yanqiao Deng*, and Minda Ma. "A novel kernel ridge grey system model with generalized Morlet wavelet and its application in forecasting natural gas production and consumption." Energy 287 (2024): 129630. (SCI, 一区）
2. Xin Ma*, Wenqing Wu, and Yuanyuan Zhang. "Application of a novel quadratic polynomial discrete grey model to forecast energy consumption of China." Scientia Iranica (2024): 469-480. (SCI, 四区）
3. Xin, Ma*, Yanqiao Deng, and Hong Yuan. "Forecasting the Natural Gas Supply and Consumption in China Using a Novel Grey Wavelet Support Vector Regressor." Systems 11, no. 8 (2023): 428.(SSCI)
4. Xin Ma*, Yubin Cai, Hong Yuan, and Yanqiao Deng. "Partially Linear Component Support Vector Machine for Primary Energy Consumption Forecasting of the Electric Power Sector in the United States." Sustainability 15, no. 9 (2023): 7086. (SCI\SSCI, 三区)
5. Xin Ma*, Hongfang Lu, Minda Ma, Lifeng Wu, and Yubin Cai. "Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model." Engineering Applications of Artificial Intelligence 119 (2023): 105773. (SCI, 一区)
6. Xin Ma*, Xie Mei, and Johan AK Suykens. "A novel neural grey system model with Bayesian regularization and its applications." Neurocomputing, 2021, 456(7): 61-75. (SCI, 二区）
7. Xin Ma*, Wenqing Wu, Bo Zeng, Yong Wang, Xinxing Wu. "The conformable fractional grey system model", ISA Transactions, 2020, 96：255-271． (SCI, 一区, ESI全球前1%高被引论文, ESI全球前0.1%Hot paper)
8. Xin Ma, Wenqing Wu*, and Yuanyuan Zhang. Improved GM (1, 1) model based on Simpson formula and its applications. Journal of Grey system, 2019, 31(4): 33-46. (SCI, 四区, ESI全球前1%高被引论文)
9. Xin Ma*, Mei Xie, Wenqing Wu, Bo Zeng, Yong Wang, and Xinxing Wu. "The novel fractional discrete multivariate grey system model and its applications." Applied Mathematical Modelling 70 (2019): 402-424. (SCI, 二区, ESI全球前1%高被引论文, ESI全球前0.1%Hot paper)
10. Xin Ma*, Xie Mei, Wenqing Wu, Xinxing Wu and Bo Zeng. "A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China". Energy 2019, 178, 487-507. (SCI, 一区, ESI全球前1%高被引论文, ESI全球前0.1%Hot paper)
11. Xin Ma*, Zhibin Liu, and Yong Wang. "Application of a novel nonlinear multivariate grey Bernoulli model to predict the tourist income of China." Journal of Computational and Applied Mathematics , 2019, vol. 347, pp. 84-94. (SCI, 二区，ESI全球前1%高被引论文,ESI全球前0.1%Hot paper)
12. Xin Ma. A brief introduction to the Grey Machine Learning, Journal of Grey System, 2019 31 (1), 1-12. (SCI, 四区，ESI全球前1%高被引论文，ESI全球前0.1%Hot paper, GSUA国际会议优秀论文)
13. Xin Ma*, Z. Liu, The kernel-based nonlinear multivariate grey model, Applied Mathematical Modelling, 56, 2018, 217-238. (SCI, 一区, ESI全球前1%高被引论文)
14. Xin Ma*, Z.B. Liu. Predicting the oil production using the novel multivariate nonlinear model based on Arps decline model and kernel method. Neural Computing and Applications, 2018, 29(2): 579-591. (SCI, 二区, ESI全球前1%高被引论文，全国石油化工自动化行业优秀论文三等奖)
15. Xin Ma*, Y. S. Hu, Z.B. Liu. A novel kernel regularized nonhomogeneous grey model and its applications. Communications in Nonlinear Science & Numerical Simulation, 2017, 48: 51-62. (SCI, 一区)
16. Xin Ma*, Z.B. Liu. Application of a novel time-delayed polynomial grey model to predict the natural gas consumption in China. Journal of Computational and Applied Mathematics, 2017, 324: 17-24. (SCI, 二区，ESI全球前1%高被引论文)
17. Xin Ma*, Z. B. Liu. The GMC(1, n) model with optimized parameters and its applications. Journal of Grey System, 2017,29(4): 122-138.(SCI， 四区, ESI全球前1%高被引论文)
18. Xin Ma*, Z. B. Liu. Research on the novel recursive discrete multivariate grey prediction model and its applications. Applied Mathematical Modelling, 2016, 40(7): 4876-4890. (SCI, 一区)
19. Xin Ma*. Research on a Novel Kernel Based Grey Prediction Model and Its Applications. Mathematical Problems in Engineering, 2016, (2016):1-9. (SCI, 四区)
20. Xin Ma*, Z.B. Liu. Predicting the oil field production using the novel discrete GM (1, N) model. The Journal of Grey System, 2015, 27(4): 63-74. (SCI, 四区)
21. Xin Ma*, Z.B. Liu, Wei Y, Kong X H. A Novel Kernel Regularized Nonlinear GMC (1, n) Model and Its Application. Journal of Grey System, 2016, 28(3): 97-109. (SCI, 四区)
22. Xin Ma*, Z.B. Liu, Chen Y. Optimizing the Grey GM(1,N) Model by Rebuilding All the Back Ground Values. Journal of Systems Science & Information, 2014, 2(6):543-552.

通讯作者论文

1. Zhang, Lanxi, and Xin Ma*. "A novel multi-fractional multivariate grey model for city air quality index prediction in China." Expert Systems with Applications (2024): 125010. (SCI, 一区)
2. Qingping He, Xin Ma*, Lanxi Zhang, Wanpeng Li, Tianzi Li. “The nonlinear multi-variable grey Bernoulli model and its applications.” Applied Mathematical Modelling, 2024. https://doi.org/10.1016/j.apm.2024.06.015. (SCI, 一区)
3. Hong Yuan, Xin Ma*, Minda Ma, and Juan Ma. "Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries." Applied Energy 360 (2024): 122824. (SCI, 一区)
4. Hao, Yiwu, and Xin Ma*. "A Hybrid Grey System Model Based on Stacked Long Short-Term Memory Layers and Its Application in Energy Consumption Forecasting." Processes 12, no. 8 (2024): 1749. (SCI, 三区)
5. Xuemei Zhao, Xin Ma*, Yubin Cai, Hong Yuan, and Yanqiao Deng. "Application of a novel hybrid accumulation grey model to forecast total energy consumption of Southwest Provinces in China." Grey Systems: Theory and Application (2023).https://doi.org/10.1108/GS-02-2023-0013 (SCI, 四区)
6. Zhang, Longfeng, Xin Ma*, Hui Zhang, Gaoxun Zhang, and Peng Zhang. "Multi-Step Ahead Natural Gas Consumption Forecasting Based on a Hybrid Model: Case Studies in The Netherlands and the United Kingdom." Energies 15, no. 19 (2022): 7437.（SCI,四区）
7. Wu, Wenqing, Xin Ma*, Bo Zen, Hui Zhang, and Gaoxun Zhang. "A Conformable Fractional Grey Model CFGM ($\alpha ,r$$\alpha,r$) and Its Applications in Forecasting Regional Electricity Consumption of China." Journal of Grey System 34, no. 1 (2022).（SCI,四区）
8. Yanqiao Deng, Xin Ma*, Peng Zhang, and Yubin Cai. "Multi-step ahead forecasting of daily urban gas load in Chengdu using a Tanimoto kernel-based NAR model and Whale optimization." Energy 260 (2022): 124993. (SCI, 一区)
9. Wenqing Wu, Xin Ma*, Bo Zeng, Hui Zhang, and Peng Zhang. "A novel multivariate grey system model with conformable fractional derivative and its applications." Computers & Industrial Engineering 164 (2022): 107888.(SCI, 二区)
10. Wenqing Wu, Xin Ma*, Yong Wang, Wei Cai, and Bo Zeng. "Predicting primary energy consumption using NDGM (1, 1, k, c) model with Simpson formula." Scientia Iranica 28, no. 6 (2021): 3379-3395. (SCI, 四区)
11. Yubin Cai, Xin Ma*, Wenqing Wu, and Yanqiao Deng. "Forecasting Natural Gas Consumption in the US Power Sector by a Randomly Optimized Fractional Grey System Model." Mathematical Problems in Engineering 2021 (2021). (SCI, 四区)
12. Yubin Cai, Xin Ma*. A novel ensemble learning-based grey model for electricity supply forecasting in China, AIMS Mathematics, 2021, 6(11): 12339-12358. https://doi.org/10.3934/math.2021714 (SCI, 三区)
13. Lang Yu, Xin Ma*, Wenqing Wu, Xiwang Xiang, Yong Wang, Bo Zeng. Application of a novel time-delayed power-driven grey model to forecast photovoltaic power generation in the Asia-Pacific region, Sustainable Energy Technologies and Assessments 44, 2021, 100968. https://doi.org/10.1016/j.seta.2020.100968 (SCI, 二区)
14. Lang Yu, Xin Ma*, Wenqing Wu, Yong Wang, Bo Zeng. A novel Elastic Net-based NGBMC (1, n) model with multi-objective optimization for nonlinear time series forecasting. Communications in Nonlinear Science and Numerical Simulation, 2021, 105696. https://doi.org/10.1016/j.cnsns.2021.105696 (SCI, 一区)
15. Hongfang Lu, Xin Ma*, Minda Ma, Senlin Zhu. Energy price prediction using data-driven models: A decade review, Computer Science Review 39, 2021, 100356. https://doi.org/10.1016/j.cosrev.2020.100356 (SCI一区)
16. Xiwang Xiang, Xin Ma*, Minda Ma, Wenqing Wu, Lang Yu. Research and application of novel Euler polynomial-driven grey model for short-term PM10 forecasting. Grey Systems: Theory and Application, 2021, 11(3), 498-517. https://doi.org/10.1108/GS-02-2020-0023. (SCI, 二区)
17. Wenqing Wu, Xin Ma*, Bo Zeng, Yuanyuan Zhang, Wanpeng Li. Forecasting short-term solar energy generation in Asia Pacific using a nonlinear grey Bernoulli model with time power term. Energy & Environment, 2021, 32(5), 759-783. https://doi.org/10.1177/0958305X20960700 (SSCI)
18. Lu, Hongfang, Xin Ma*, and Minda Ma. "A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19." Energy 219 (2021): 119568.（SCI, 一区）
19. Xiwang Xiang, Xin Ma*, Yizhu Fang, Wenqing Wu, Gaoxun Zhang. A novel hyperbolic time-delayed grey model with Grasshopper Optimization Algorithm and its applications, Ain Shams Engineering Journal, 2021,12(1): 865-874, https://doi.org/10.1016/j.asej.2020.07.019. (SCI, 三区)
20. Wu, Wenqing, Xin Ma*, Yong Wang, Wei Cai, and Bo Zeng. "Predicting China’s energy consumption using a novel grey Riccati model." Applied Soft Computing 95 (2020): 106555.(SCI, 一区)
21. Yu Hu, Xin Ma*, Wanpeng Li, Wenqing Wu, Daoxing Tu. Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order. Computational and Applied Mathematics, 39, 263 (2020). https://doi.org/10.1007/s40314-020-01315-3 .(SCI, 三区)
22. Hongfang Lu, Feifei Cheng, Xin Ma*, Gang Hu. Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower, Energy, 2020, 117756.(SCI, 一区)
23. Wenqing Wu, Xin Ma*, Bo Zeng, Wangyong Lv, Yong Wang, Wanpeng Li. A novel Grey Bernoulli model for short-term natural gas consumption forecasting, Applied Mathematical Modelling, 2020, 84: 393-404.(SCI, 二区)
24. Wenqing Wu, Xin Ma*, Yuanyuan Zhang, Wanpeng Li, Yong Wang. A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries, Science of the Total Environment, 2020. (SCI, 一区, ESI全球前1%高被引论文，ESI全球前0.1%Hot paper)
25. Jie Xia, Xin Ma*, Wenqing Wu, Baolian Huang, Wanpeng Li. Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity, Journal of Cleaner Production, 2020, 244, Aricle ID: 118573. (SCI/SSCI, 一区, ESI全球前1%高被引论文, ESI全球前0.1%Hot paper)
26. Wenqing Wu, Xin Ma*, Bo Zeng, Yong Wang, and Wei Cai. Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model. Renewable energy 140 (2019): 70-87. (SCI, 二区, ESI全球前1%高被引论文，ESI全球前0.1%Hot paper)
27. Wenqing Wu, Xin Ma*, Yong Wang, Yuanyuan Zhang, and Bo Zeng. "Research on a novel fractional GM ($\alpha$$\alpha$, $n$$n$) model and its applications." Grey Systems: Theory and Application 9, no. 3 (2019): 356-373. (SCI, ESI全球前1%高被引论文)
28. Wenqing Wu, Xin Ma*, Yuanyuan Zhang, Yong Wang, and Xinxing Wu. "Analysis of novel FAGM (1, 1, $t^{\alpha }$$t^α$) model to forecast health expenditure of China." Grey Systems: Theory and Application 9, no. 2 (2019): 232-250. (SCI)
29. Wenqing Wu, Xin Ma*, Bo Zeng, Yong Wang, and Wei Cai. "Application of the novel fractional grey model FAGMO(1, 1, $k$$k$) to predict China's nuclear energy consumption." Energy 165 (2018): 223-234. (SCI, 一区, ESI全球前1%高被引论文)
30. Lingcun Kong, Xin Ma*, Comparison study on the nonlinear parameter optimization of nonlinear grey Bernoulli model NGBM(1,1) between intelligent optimizers. Grey Systems: Theory and Application, 2018, 8(2): 210-226.(SCI)
31. 夏杰, 马新*, 吴文青. 基于Simpson公式改进的FAGM(1,1)模型及其应用研究，中国管理科学, 2021,29(05): 240-248.（自然科学基金委A类重要期刊）

获奖情况

1. 2021年11月，ESI全球高被引学者（交叉学科领域）
2. 2018年12月石油和化工自动化行业科学技术奖（优秀科技论文奖，三等奖）
3. 2018年4月 灰色系统国际学术会议优秀会议论文
4. 2017年4月 《Applied Mathematical Modelling》杰出评审贡献奖
5. 2017，2018，2019年5月 蓝桥杯全国信息技术大赛优秀指导教师（3次）
6. 2014年12月，2016年5月 西南石油大学"校长奖学金" 校级（2次）
7. 2015年12月 "研究生国家奖学金"，西南石油大学"二等学业奖学金"，研究生"十大学术成就奖"
8. 2013年6月 西南石油大学"优秀硕士毕业论文" 校级
9. 2010年4月 西华大学三等奖学金、西华大学"院级三好学生" 院级
10. 2008年12月 西华大学优秀社团干部 校级
11. 2008年4月西华大学英语风采大赛演讲比赛"三等奖"，"最佳机智奖" 校级
12. 2007年 4月 西华大学二等奖学金、西华大学"校级三好学生" 校级

学术兼职

1. 国际SCI期刊《Journal of Grey System》 编委
2. 中国优选法统筹法与经济数学研究会 灰色系统专业委员会 理事
3. 国际SCI/SSCI期刊 Mathematical Problems in Engineering, Energies, Sustainability 特刊客座编辑

技术技能

1. 精通或熟练程序语言：Python, Matlab, C, C# (MVC), Javascript
2. 数据库技术：PLSQL(Oracle), MySQL, MS Access
3. 全国软件专业人才高级证书(C\C++)
4. 英语水平：CET 6 (503)， BEC Higher B2