| Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach W Tu, Q Li, Z Fang, S Shaw, B Zhou, X Chang Transportation Research Part C: Emerging Technologies 65, 172-189, 2016 | 334 | 2016 |
| Spatial variations in urban public ridership derived from GPS trajectories and smart card data W Tu, R Cao, Y Yue, B Zhou, Q Li, Q Li Journal of Transport Geography 69, 45-57, 2018 | 224 | 2018 |
| A survey on deep learning for human activity recognition F Gu, MH Chung, M Chignell, S Valaee, B Zhou, X Liu ACM Computing Surveys (CSUR) 54 (8), 1-34, 2021 | 189 | 2021 |
| Activity sequence-based indoor pedestrian localization using smartphones B Zhou, Q Li, Q Mao, W Tu, X Zhang IEEE Transactions on Human-Machine Systems 45 (5), 562-574, 2015 | 177 | 2015 |
| ALIMC: Activity landmark-based indoor mapping via crowdsourcing B Zhou, Q Li, Q Mao, W Tu, X Zhang, L Chen IEEE Transactions on Intelligent Transportation Systems 16 (5), 2774-2785, 2015 | 126 | 2015 |
| Kalman Filter-based Data Fusion of Wi-Fi RTT and PDR for Indoor Localization X Liu, B Zhou, P Huang, W Xue, Q Li, J Zhu, L Qiu IEEE Sensors Journal 21 (6), 8479-8490, 2021 | 105 | 2021 |
| Smartphone-based activity recognition for indoor localization using a convolutional neural network B Zhou, J Yang, Q Li Sensors 19 (3), 621, 2019 | 90 | 2019 |
| A lidar/visual slam backend with loop closure detection and graph optimization S Chen, B Zhou, C Jiang, W Xue, Q Li Remote Sensing 13 (14), 2720, 2021 | 71 | 2021 |
| A data-driven inertial navigation/Bluetooth fusion algorithm for indoor localization J Chen, B Zhou, S Bao, X Liu, Z Gu, L Li, Y Zhao, J Zhu, Q Li IEEE Sensors Journal, 2021 | 70 | 2021 |
| A robust crowdsourcing-based indoor localization system B Zhou, Q Li, Q Mao, W Tu Sensors 17 (4), 864, 2017 | 70 | 2017 |
| Off-line evaluation of indoor positioning systems in different scenarios: The experiences from IPIN 2020 competition F Potortì, J Torres-Sospedra, D Quezada-Gaibor, AR Jiménez, F Seco, ... IEEE Sensors Journal 22 (6), 5011-5054, 2021 | 65 | 2021 |
| NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li IEEE Sensors Journal 22 (4), 3660-3671, 2021 | 61 | 2021 |
| OCD: Online crowdsourced delivery for on-demand food W Tu, T Zhao, B Zhou, J Jiang, J Xia, Q Li IEEE Internet of Things Journal 7 (8), 6842-6854, 2019 | 61 | 2019 |
| A new weighted algorithm based on the uneven spatial resolution of RSSI for indoor localization W Xue, X Hua, Q Li, K Yu, W Qiu, B Zhou, K Cheng Ieee Access 6, 26588-26595, 2018 | 48 | 2018 |
| Crowdsourcing-based indoor mapping using smartphones: A survey B Zhou, W Ma, Q Li, N El-Sheimy, Q Mao, Y Li, F Gu, L Huang ISPRS Journal of Photogrammetry and Remote Sensing 177 (2021), 131-146, 2021 | 46 | 2021 |
| APs’ virtual positions-based reference point clustering and physical distance-based weighting for indoor Wi-Fi positioning W Xue, K Yu, X Hua, Q Li, W Qiu, B Zhou IEEE Internet of Things Journal 5 (4), 3031-3042, 2018 | 42 | 2018 |
| A graph optimization-based indoor map construction method via crowdsourcing B Zhou, Q Li, G Zhai, Q Mao, J Yang, W Tu, W Xue, L Chen IEEE Access 6, 33692-33701, 2018 | 35 | 2018 |
| Sewer pipeline fault identification using anomaly detection algorithms on video sequences X Fang, W Guo, Q Li, J Zhu, Z Chen, J Yu, B Zhou, H Yang IEEE Access 8, 39574-39586, 2020 | 33 | 2020 |
| 用户行为感知辅助的室内行人定位 周宝定， 李清泉， 毛庆洲， 张星 武汉大学学报· 信息科学版 39 (6), 719-723, 2014 | 29 | 2014 |
| Smartphone-based road manhole cover detection and classification B Zhou, W Zhao, W Guo, L Li, D Zhang, Q Mao, Q Li Automation in Construction 140, 104344, 2022 | 28 | 2022 |
Li Qing-QuanShenzhen University, Wuhan UniversityEmail verificata su szu.edu.cn