| 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 | 237 | 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 | 167 | 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 | 67 | 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 | 59 | 2021 |
| A novel multiple-level trust management framework for wireless sensor networks B Zhang, Z Huang, Y Xiang Computer Networks 72, 45-61, 2014 | 51 | 2014 |
| 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 | 44 | 2021 |
| 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 | 33 | 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 | 30 | 2020 |
| 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 | 29 | 2022 |
| 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 |
| 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 | 26 | 2019 |
| 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 | 24 | 2020 |
| 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 |
| 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 | 18 | 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 | 18 | 2019 |
| 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 | 18 | 2010 |
| A hybrid trust evaluation framework for e-commerce in online social network: a factor enrichment perspective B Zhang, R Yong, M Li, J Pan, J Huang IEEE Access 5, 7080-7096, 2017 | 16 | 2017 |
| 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 |
| Research on ontology-based case indexing in CBR D Wang, Y Xiang, G Zou, B Zhang 2009 international conference on artificial intelligence and computational …, 2009 | 16 | 2009 |
| 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 | 15 | 2020 |
