| A prediction model of blast furnace slag viscosity based on principal component analysis and k-nearest neighbor regression D Jiang, J Zhang, Z Wang, C Feng, K Jiao, R Xu JOM 72, 3908-3916, 2020 | 28 | 2020 |
| Machine learning modeling of gas utilization rate in blast furnace D Jiang, Z Wang, J Zhang, D Jiang, K Li, F Liu Jom 74 (4), 1633-1640, 2022 | 19 | 2022 |
| Predictive modelling for contact angle of liquid metals and oxide ceramics by comparing Gaussian process regression with other machine learning methods D Jiang, Z Wang, J Zhang, D Jiang, F Liu, L Hao Ceramics International 48 (1), 665-673, 2022 | 16 | 2022 |
| Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine ZY Wang, DW Jiang, XD Wang, JL Zhang, ZJ Liu, BJ Zhao Chinese Journal of Engineering 43 (4), 569-576, 2021 | 13 | 2021 |
| Effect of TiO2 and FeO on viscosity and structure of HIsmelt titanium-containing slag S Zhang, Z Wang, J Zhang, P Guo, D Jiang, R Si Ceramics International 50 (1), 791-798, 2024 | 11 | 2024 |
| Predictive modeling of blast furnace gas utilization rate using different data pre-processing methods D Jiang, Z Wang, K Li, J Zhang, L Ju, L Hao Metals 12 (4), 535, 2022 | 11 | 2022 |
| Predictive modeling of the hot metal sulfur content in a blast furnace based on machine learning S Zhang, D Jiang, Z Wang, F Wang, J Zhang, Y Zong, S Zeng Metals 13 (2), 288, 2023 | 7 | 2023 |
| Predictive modeling of the hot metal silicon content in blast furnace based on ensemble method D Jiang, X Zhou, Z Wang, K Li, J Zhang Metallurgical Research & Technology 119 (5), 515, 2022 | 5 | 2022 |
| DEM study of the porosity distribution of sinter and coke layers in the throat region of a blast furnace R Si, Z Wang, J Zhang, J Dai, S Zhang, D Jiang, H Wei Powder Technology 427, 118755, 2023 | 4 | 2023 |
| Machine Learning Models for Predicting and Controlling the Pressure Difference of Blast Furnace D Jiang, Z Wang, K Li, J Zhang, S Zhang JOM 75 (11), 4550-4561, 2023 | 2 | 2023 |
| Sulfur migration behavior in sintering and pelletizing processes: A review S Zhang, D Jiang, Z Wang, Y Zong, J Zhang, F Wang, R Si, S Zhang, ... steel research international 94 (11), 2200904, 2023 | 2 | 2023 |
| Advancements in oxygen blast furnace technology and its application in the smelting of vanadium-titanium magnetite: A comprehensive review S Zhang, J Zhang, Z Wang, Y Zong, P Guo, D Jiang, S Zhang Minerals Engineering 212, 108732, 2024 | 1 | 2024 |
| Effect of basicity on the structure and viscosity properties of HIsmelt slag: A molecular dynamics simulation S Zhang, J Zhang, Z Wang, D Jiang, Z Liang, S Zhang Canadian Metallurgical Quarterly, 1-9, 2024 | | 2024 |
| DEM simulation of powder phase movement in coke packed bed generated by scanning particles of a blast furnace D Jiang, G Zhou, K Li, S Zhang, J Zhang, Z Wang, R Si, H Wei Powder Technology, 119934, 2024 | | 2024 |
| Kinetics analysis of iron oxide reduction by solid carbon in HIsmelt ironmaking slag Z Wang, R Si, J Pang, J Han, W Ren, Z Chen, J Zhang, S Zhang, D Jiang, ... ISIJ International 64 (6), 1101-1105, 2024 | | 2024 |
| Effect of Basicity and MgO/Al2O3 Ratio on Viscosity and Crystallization Behavior of HIsmelt Titanium‐Containing Slag S Zhang, Z Wang, J Zhang, P Guo, D Jiang, S Zhang steel research international, 2300835, 2024 | | 2024 |
| Analysis of Blast Furnace Permeability Regulation Strategy Based on Machine Learning D Jiang, Z Wang, K Li, J Zhang steel research international 95 (3), 2300590, 2024 | | 2024 |
| Improved back propagation neural network method for predicting sulfur content in hot metal S Zhang, M Gu, Y Zong, Z Wang, J Zhang, D Jiang, J Pang, S Zhang, R Si Metallurgical Research & Technology 121 (1), 103, 2024 | | 2024 |
| Predictive Modeling and Control Analysis of Fuel Ratio in Blast Furnace Ironmaking Process Based on Machine Learning D Jiang, Z Wang, K Li, J Zhang, S Zhang JOM 75 (9), 3975-3984, 2023 | | 2023 |
| Forecast of sinter reduction degradation index and reducibility index and analysis of influencing factors using machine learning D Jiang, J Pang, S Zhang, Z Wang, K Li, J Zhang Metallurgical Research & Technology 120 (6), 608, 2023 | | 2023 |
