1.He Jiang*, Xuxilu Zhang, Yao Dong, Jianzhou Wang. Data-Driven Predictive Modeling of Citywide Crowd Flow for Urban Safety Management. Journal of Forecasting. 2025, http://doi.org/10.1002/for.3216.. (SSCI一区，FMS C类, ABS二星).
2. He Jiang, Yawei Dong*,Yao Dong, Jianzhou Wang. Probabilistic electricity price forecasting by integrating interpretable model. Technological Forecasting and Social Change. 2025, 210,123846. （SSCI 一区，FMS B类，ABS 三星， IF：12.0）
3. He Jiang, Yawei Dong*,Yao Dong, Jianzhou Wang. Power load forecasting based on spatial-temporal fusion graph convolution network . Technological Forecasting and Social Change. 2024, 204,123435. （SSCI 一区，FMS B类，ABS 三星， IF：12.0）
4. He Jiang, Ye Yang*, Qiuying Wan, Yao Dong, Feature selection based on Dynamic Crow Search Algorithm for High-dimensional Data Classification. Expert System with Applications. 2024, 123871. (SCI一区，IF : 8.5 top期刊).
5. Shaolong Sun, Yawei Dong, He Jiang*, Shouyang Wang. A novel Multistep Ahead PM2.5 Forecasting Approach using Spatial-Temporal Attention Network. IEEE Transactions on Industrial Informatics. 2024. Accepted. （通讯作者）(SCI一区, IF:12.3, top期刊).
6. Yao Dong, He Jiang*, Yunting Guo, Jianzhou Wang. A novel crude oil price forecasting model using decomposition and deep learning networks. Engineering Applications of Artificial Intelligence. 2024,108111. （通讯作者）(SCI 一区, IF:8.0, top 期刊).
7. He Jiang*, Yao Dong, Jianzhou Wang, Electricity price forecasting using quantile regression averaging with nonconvex regularization. Journal of Forecasting, 2024. doi: https:// doi.org/10.1002/for.3103（通讯作者）(FMS C类, ABS二星).
8. He Jiang*, Sheng Pan, Yao Dong, Jianzhou Wang. Probabilistic electricity price forecasting based on penalized temporal fusion transformer. Journal of Forecasting, 2024. 1-27. doi: https:// doi.org/10.1002/for.3084（通讯作者）(FMS C类, ABS二星).
9. He Jiang*. Forecasting global solar radiation using a robust regularization approach with mixture kernels. Journal of Forecasting, 2023, 42（8）,1989-2010. （通讯作者）(FMS C类, ABS二星).
10. He Jiang*. Robust forecasting in spatial autoregressive model with total variation regularization. Journal of Forecasting, 2023, 43（2）, 195-211.
（通讯作者）(FMS C类, ABS二星).
11. He Jiang, Weiqiang Hu*, Ling Xiao, Yao Dong, A decomposition ensemble based deep learning approach for crude oil price forecasting, Resources Policy,78,2022, 102855. (FMS C类, ABS 二星).
12. He Jiang*. A novel robust structural quadratic forecasting model and applications. Journal of Forecasting, 2022, 41（6）,1156-1180. （通讯作者） (FMS C类, ABS二星).
13. He Jiang, Weihua Zheng*, Deep learning with regularized robust long and short-term memory network for probabilistic short-term load forecasting. Journal of Forecasting, 2022, 41（6）,1047-1313. (FMS C类, ABS二星).
14. He Jiang*, Weihua Zheng, Yao Dong. Sparse and robust estimation with ridge minimax concave penalty. Information Sciences, 2021;571: 154-174（通讯作者） (FMS B类，CCF B类，JCR Q1，top期刊).
15. He Jiang, Changqi Tao*, Yao Dong, Ren Xiong. Robust Low-rank Multiple Kernel Learning with Compound Regularization. European Journal of Operational Research, 2021;295（2），634-647. (FMS A类，ABS四星，管理学top期刊).
16. He Jiang, Shihua Luo*, Yao Dong. Simultaneous feature selection and clustering based on square root optimization. European Journal of Operational Research, 2021; 289（1）: 214-231. (FMS A类，ABS四星，管理学top期刊).
17. Yiyuan She*, Zhifeng Wang, He Jiang. Group regularized estimation under structural hierarchy. Journal of the American Statistical Association (JASA). 2018; 113 (521); 445-454. (FMS A类，统计学 top期刊, IF:2.123)
18. He Jiang, Weihua Zheng*, Liangqing Luo, Yao Dong, A two-stage minimax concave penalty based method in pruned Adaboost ensemble. Applied Soft Computing 2019; 83: 105674; (JCR Q1, IF: 8.263)
19. He Jiang*, Yao Dong, Structural regularization in quadratic logistic regression model. Knowledge-Based Systems 2019; 163: 842-857.（通讯作者）. (FMS C类，JCR Q1, IF: 5.101)
20. He Jiang, Sparse estimation based on square root nonconvex optimization in high dimensional data. Neurocomputing 2018;282: 122-135. (JCR Q1, IF: 5.579)
21. He Jiang, Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm. Applied Soft Computing 2018; 63: 110-123. (JCR Q1, IF: 8.263)
22. He Jiang*, Yao Dong; Dimension reduction based on a penalized kernel support vector machine model. Knowledge-Based Systems 2017; 138:79-90 （通讯作者）. (FMS C类，JCR Q1, IF: 8.139)
23. He Jiang, A novel approach for forecasting global horizontal irradiance based on sparse quadratic RBF neural network. Energy Conversion and Management 2017;152:266-280. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 11.533, top期刊)
24. He Jiang, Yao Dong*, Forecast of hourly global horizontal irradiance based on Structured Kernel Support Vector Machine: A case study of Tibet area in China. Energy Conversion and Management 2017;142:307-321. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 11.533, top期刊)
25. He Jiang, Yao Dong*, Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China. Energy 2017;133:270-283. (能源电力领域高质量科技期刊T1，JCR Q1, IF:5.537, top期刊)
26. He Jiang, Yao Dong*, Ling Xiao. A multi-stage intelligent approach based on an ensemble of two-way Interaction Model for forecasting the global horizontal radiation of India. Energy Conversion and Management 2017;137:142-154. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 11.533, top期刊)
27. He Jiang, Yao Dong*. A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation. Energy Conversion and Management 2016;126:991-1002. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 11.533, top期刊)
28. He Jiang, Jianzhou Wang*, Yao Dong, Haiyan Lu. Comprehensive assessment of wind resources and low-carbon economy policies: An empirical study in Alxa and Xilin Gol League of Inner Mongolia, China. Renewable & Sustainable Energy Reviews 2015;50:1304-1319. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 16.799, top期刊)
29. He Jiang, Yao Dong, Jianzhou Wang, Quqin Li. Haiyan Lu. Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation. Energy Conversion and Management 2015;95:42-58. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 11.533, top期刊)
30. He Jiang, Ye Yang*, Weiying Ping, Yao Dong. A novel hybrid classification method based on the opposition-based seagull optimization algorithm. IEEE Access, 2020, vol. 8, 100778-100790.
31.He Jiang, Muhammed Asif Khan*, Zhilong Li, Zulfiqar Ali, Karman Ali and Sajid Gul. Regional Drought Assessment Improved Precipitation records under Auxillary information. Tellus series A-Dynamic Meteorology and Oceanography, 2020, 72: 1-26. (JCR Q3/Q2，IF: 1.620)
32. He Jiang, Shihua Luo*, Yao Dong, Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach. Advances in Meteorology. Research Article (19 pages), Article ID 5396743, 2020.
33. He Jiang, Yao Dong*, A novel model based on square root elastic net and artificial neural network for forecasting global solar radiation. Complexity Research Article (19 pages), Article ID 8135193, 2018.
34. Yao Dong, He Jiang*. Global solar radiation forecasting using square root regularization-based ensemble. Mathematical Problems in Engineering. Research Article (20 pages), Article ID 9620945, 2019.（通讯作者）(SCI 四区, IF:1.179).
35. Yao Dong, He Jiang*. A two-stage regularization method for variable selection and forecasting in high-order interaction model. Complexity. Research Article (12 pages), Article ID 2032987, 2018.（通讯作者）
36. Jianzhou Wang, He Jiang*, Yujie Wu, Yao Dong. Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm. Energy. 2015;81;627-644 （通讯作者）. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 5.537, top期刊)
37. Muhammad Asif Khan, Saba Riaz, He Jiang, Sadia Qamar, Zulfiqar Ali, Muhammad Islamil, Amna Nazeer, Muhammad Faisal, Samina Satti, Xiang Zhang, Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context, Journal of Environmental Management, 2022, 312, 114951.
38. Jianzhou Wang, Yao Dong*, He Jiang. A study on the characteristics, predictions and policies of China’s eight main power grids. Energy Conversion and Management 2014;86; 818-830. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 7.181, top期刊)
39. He Jiang, Muhammed Asif Khan*, Zhilong Li, Zulfiqar Ali, Karman Ali and Sajid Gul. Regional Drought Assessment Improved Precipitation records under Auxillary information. Tellus series A-Dynamic Meteorology and Oceanography, 2020, 72: 1-26. (JCR Q3/Q2，IF: 1.620)
40. Yao Dong, Jianzhou Wang*, He Jiang, Xiaomeng Shi. Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner Mongolia, China. Applied Energy 2013;109;239-253. (能源电力领域高质量科技期刊T1，JCR Q1, IF: 7.182, top期刊)
41. Yao Dong, Jianzhou Wang*, He Jiang, Jie Wu. Short-term electricity price forecast based on the improved hybrid model. Energy Conversion and Management 2011;52;2987–2995. (能源电力领域高质量科技期刊T1，JCR Q1, IF:11.533, top期刊)
42. Jianzhou Wang, Yao Dong*, Jie Wu, Ren Mu, He Jiang. Coal production forecast and low carbon policies in China. Energy Policy 2011;39; 5970–5979. (能源电力领域高质量科技期刊T2，JCR Q1, IF: 4.140, top期刊)
43. Yuqi Dong, Jianzhou Wang*, Rui Wang, He Jiang, Accurate combination forecasting of wave energy based on multiobjective optimization and fuzzy information granulation, Journal of Cleaner Production, 386,2023,135772.
44. Yue Yu, Tong Niu*, Jianzhou Wang, He Jiang, Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction, Energy Conversion and Management, 277, 2023,116579.
45. Jianzhou Wang, Yilin Zhou, He Jiang, A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy, Expert Systems with Applications, 217, 2023, 119539.
46. Muhammad Asift Khan, Xiang Zhang, Zulfiqar Ali, He Jiang, Muhammad Ismail, Sadia Qamar. A new standardized type drought indicators based hybrid procedure for strengthening drought monitoring system. Tellus Series A-Dynamic Meteorology and Oceanography 74(1), 2022, 119-140.
47. Xing, Q., Wang, J., Jiang, H., Wang, K., Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration, Expert Systems with Applications (2023), doi: https://doi.org/10.1016/j.eswa.2023.120117
48. Ling Xiao, Jing Wang, Binglin Wang, He Jiang, China’s Hydropower Resources and Development[J]. Sustainability, 2023, 15(5).
49. Jialu Gao, Jianzhou Wang, Danxiang Wei, He Jiang, Combined Interval Prediction Algorithm Based on Optimal Relevancy, Redundancy and Synergy, Applied Mathematical Modelling, 2023 123, 566-589.
50. Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An, A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting, Expert Systems with Applications, 2023, 121546.
51. Wang, J. , Wang, S. , Lv, M. , & Jiang, H. Forecasting VAR and ES by using deep quantile regression, gans-based scenario generation, and heterogeneous market hypothesis. Financial Innovation, 2024, 10(1). doi: 10.1186/s40854-023-00564-5
