| A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM2.5 Concentration D Qin, J Yu, G Zou, R Yong, Q Zhao, B Zhang Ieee Access 7, 20050-20059, 2019 | 265 | 2019 |
| Constructing a PM2. 5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks B Zhang, H Zhang, G Zhao, J Lian Environmental Modelling & Software 124, 104600, 2020 | 201 | 2020 |
| Deep learning for air pollutant concentration prediction: A review B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou, J Pan Atmospheric Environment 290, 119347, 2022 | 110 | 2022 |
| A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction B Zhang, G Zou, D Qin, Y Lu, Y Jin, H Wang Science of The Total Environment 765, 144507, 2021 | 85 | 2021 |
| A community detection method for social network based on community embedding M Li, S Lu, L Zhang, Y Zhang, B Zhang IEEE Transactions on Computational Social Systems 8 (2), 308-318, 2021 | 55 | 2021 |
| A novel multiple-level trust management framework for wireless sensor networks B Zhang, Z Huang, Y Xiang Computer Networks 72, 45-61, 2014 | 55 | 2014 |
| RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model B Zhang, G Zou, D Qin, Q Ni, H Mao, M Li Expert Systems with Applications 207, 118017, 2022 | 52 | 2022 |
| A most influential node group discovery method for influence maximization in social networks: A trust-based perspective B Zhang, L Zhang, C Mu, Q Zhao, Q Song, X Hong Data & Knowledge Engineering 121, 71-87, 2019 | 35 | 2019 |
| Deep representation learning for location-based recommendation Z Huang, X Lin, H Liu, B Zhang, Y Chen, Y Tang IEEE Transactions on Computational Social Systems 7 (3), 648-658, 2020 | 34 | 2020 |
| STCS lexicon: Spectral-clustering-based topic-specific Chinese sentiment lexicon construction for social networks B Zhang, D Xu, H Zhang, M Li IEEE Transactions on Computational Social Systems 6 (6), 1180-1189, 2019 | 32 | 2019 |
| A trust evaluation scheme for complex links in a social network: a link strength perspective M Li, Y Xiang, B Zhang, Z Huang, J Zhang Applied Intelligence 44, 969-987, 2016 | 28 | 2016 |
| An opinion-leader mining method in social networks with a phased-clustering perspective B Zhang, Y Bai, Q Zhang, J Lian, M Li IEEE Access 8, 31539-31550, 2020 | 26 | 2020 |
| FDN-learning: Urban PM2. 5-concentration spatial correlation prediction model based on fusion deep neural network G Zou, B Zhang, R Yong, D Qin, Q Zhao Big Data Research 26, 100269, 2021 | 23 | 2021 |
| Prediction of snp sequences via gini impurity based gradient boosting method L Jiang, B Zhang, Q Ni, X Sun, P Dong IEEE Access 7, 12647-12657, 2019 | 21 | 2019 |
| Trust computation for multiple routes recommendation in social network sites B Zhang, Z Huang, J Yu, Y Xiang Security and Communication Networks 7 (12), 2258-2276, 2014 | 19 | 2014 |
| 一种进行 K-Means 聚类的有效方法 黄震华， 向阳， 张波， 王栋， 刘啸岭 模式识别与人工智能, 516-521, 2010 | 19 | 2010 |
| Social group recommendation with TrAdaBoost Z Huang, J Ni, J Yao, X Xu, B Zhang, Y Chen, N Tan, C Xue IEEE Transactions on Computational Social Systems 7 (5), 1278-1287, 2020 | 17 | 2020 |
| SKG-Learning: A deep learning model for sentiment knowledge graph construction in social networks B Zhang, Y Hu, D Xu, M Li, M Li Neural Computing and Applications 34 (13), 11015-11034, 2022 | 16 | 2022 |
| Pairwise learning to recommend with both users’ and items’ contextual information Z Huang, S E, J Zhang, B Zhang, Z Ji IET Communications 10 (16), 2084-2090, 2016 | 16 | 2016 |
| Densely connected convolutional networks with attention long short-term memory for estimating PM2. 5 values from images B Zhang, Z Geng, H Zhang, J Pan Journal of Cleaner Production 333, 130101, 2022 | 15 | 2022 |
