| Dioxin emission prediction based on improved deep forest regression for municipal solid waste incineration process H Xia, J Tang, L Aljerf Chemosphere 294, 133716, 2022 | 64 | 2022 |
| Deep forest regression based on cross-layer full connection J Tang, H Xia, J Zhang, J Qiao, W Yu Neural Computing and Applications 33, 9307-9328, 2021 | 37 | 2021 |
| Prediction of dioxin emission from municipal solid waste incineration based on expansion, interpolation, and selection for small samples J Tang, H Xia, L Aljerf, D Wang, PO Ukaogo Journal of Environmental Chemical Engineering 10 (5), 108314, 2022 | 35 | 2022 |
| Investigation on dioxins emission characteristic during complete maintenance operating period of municipal solid waste incineration H Xia, J Tang, L Aljerf, T Wang, J Qiao, Q Xu, Q Wang, P Ukaogo Environmental Pollution 318, 120949, 2023 | 27 | 2023 |
| Assessment of PCDD/Fs formation and emission characteristics at a municipal solid waste incinerator for one year H Xia, J Tang, L Aljerf, T Wang, B Gao, Q Xu, Q Wang, P Ukaogo Science of The Total Environment 883, 163705, 2023 | 26 | 2023 |
| Numerical simulation modelling on whole municipal solid waste incineration process by coupling multiple software for the analysis of grate speed and air volume ratio J Tang, J Zhuang, L Aljerf, H Xia, T Wang, B Gao Process Safety and Environmental Protection 176, 506-527, 2023 | 22 | 2023 |
| DF classification algorithm for constructing a small sample size of data-oriented DF regression model H Xia, J Tang, J Qiao, J Zhang, W Yu Neural Computing and Applications 34 (4), 2785-2810, 2022 | 20 | 2022 |
| Three-dimensional numerical modeling and analysis for the municipal solid-waste incineration of the grate furnace for particulate-matter generation Y Liang, J Tang, H Xia, L Aljerf, B Gao, ML Akele Sustainability 15 (16), 12337, 2023 | 15 | 2023 |
| Soft sensing method of dioxin emission in municipal solid waste incineration process based on broad hybrid forest regression X Heng, T Jian, C Can-Lin, Q Jun-Fei Acta Automatica Sinica 49 (2), 343-365, 2023 | 15 | 2023 |
| Dioxin emission modeling using feature selection and simplified DFR with residual error fitting for the grate-based MSWI process H Xia, J Tang, L Aljerf, C Cui, B Gao, PO Ukaogo Waste Management 168, 256-271, 2023 | 14 | 2023 |
| Soft sensor of dioxin emission concentration based on Bagging semi-supervised deep forest regression X Wen, T Jian, X Heng, Q Jun-Fei Chinese Journal of Scientific Instrument 43 (6), 251-259, 2022 | 11 | 2022 |
| Modeling method of deep ensemble forest regression with its application T Jian, X Heng, Q Jun-Fei, G Zi-Hao Journal of Beijing University of Technology 47 (11), 1219-1229, 2021 | 11 | 2021 |
| Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm J Chen, J Tang, H Xia, W Yu, J Qiao Fuel 347, 128511, 2023 | 9 | 2023 |
| Online measurement of dioxin emission in solid waste incineration using fuzzy broad learning H Xia, J Tang, W Yu, J Qiao IEEE Transactions on Industrial Informatics 20 (1), 358-368, 2023 | 9 | 2023 |
| Virtual sample generation method based on generative adversarial fuzzy neural network C Cui, J Tang, H Xia, J Qiao, W Yu Neural Computing and Applications 35 (9), 6979-7001, 2023 | 8 | 2023 |
| Soft measuring method of dioxin emission concentration for MSWI process based on RF and GBDT H Xia, J Tang, J Qiao, A Yan, Z Guo 2020 Chinese Control And Decision Conference (CCDC), 2173-2178, 2020 | 8 | 2020 |
| Tree broad learning system for small data modeling H Xia, J Tang, W Yu, J Qiao IEEE Transactions on Neural Networks and Learning Systems, 2022 | 7 | 2022 |
| Takagi–sugeno fuzzy regression trees with application to complex industrial modeling H Xia, J Tang, W Yu, C Cui, J Qiao IEEE Transactions on Fuzzy Systems 31 (7), 2210-2224, 2022 | 6 | 2022 |
| A review of semi-supervised learning for industrial process regression modeling W Xu, J Tang, H Xia 2021 40th Chinese Control Conference (CCC), 1359-1364, 2021 | 6 | 2021 |
| Review of deep forest H XIA, J TANG, J QIAO Journal of Beijing University of Technology 48 (2), 182-196, 2022 | 5 | 2022 |
Jian TangBeijing University of Technology在 bjut.edu.cn 的电子邮件经过验证
