Temporal and Spatial Distribution of Atmospheric CH4 Concentration and Estimation of Animal Husbandry Emissions in Hebei Province. - Botao He; Yong Xue; Xiaolu Ling; Xi Lu; Wenhao Liu; Xiangkai Wang (IGARSS, 2022)

RESEARCH ON THE POTENTIAL EMISSION SOURCE AREAS OF THE PRIMARY AIR POLLUTANTS IN XUZHOU CITY. - Wenhao Liu; Yong Xue; Xiaolu Ling; Yuxin Sun; Xingxing Jiang; Xiangkai Wang; Botao He (IGARSS, 2022)

Establishment of Dust Source Identification and Particulate Emission Inventory Based on High Resolution Remote Sensing Images. - Xi Lu; Yong Xue; Xiaolu Ling; Shuhui Wu; Botao He; Xiangkai Wang (IGARSS, 2022)

Estimation of Surface-Level Ozone Mass Concentration Using Tropomi Data and Source-Sink Analysis Over China. - Xiangkai Wang; Yong Xue; Chunlin Jin; Yuxin Sun; Wenhao Liu; Botao He; Xi Lu (IGARSS, 2022)

An Online Incremental Learning Framework for HPC Job Power Consumption Prediction. - Xuesen Tian; Xiang Li 064; Jie Zhang; Zhigang Zhao; Chunxiao Wang; Xiangkai Wang; Jibin Wang (HP3C, 2023)

Monitoring of Xch4 Changes and Anomaly in Hebei Province, China Based on Tropomi. - Botao He; Yong Xue; Xi Lu; Chunlin Jin; Shengwei Li; Wenhao Liu; Peng Wang; Xiangkai Wang; Pei Li (IGARSS, 2023)

Analysis of Urban Imported Air Pollution Sources Based On MERRA-2. - Xi Lu; Yong Xue; Botao He; Shuhui Wu; Xiangkai Wang; Xingxing Jiang (IGARSS, 2023)

Precursors and AOD Based Estimates the Mass Concentration of Ozone on Land. - Xiangkai Wang; Yong Xue; Yuxin Sun; Chunlin Jin; Botao He; Xi Lu; Tao Yuan (IGARSS, 2023)

An Improved Geographically and Temporally Weighted Regression for Surface Ozone Estimation From Satellite-Based Precursor Data. - Xiangkai Wang; Yong Xue; Yuxin Sun; Chunlin Jin; Shuhui Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

An accurate shared bicycle detection network based on faster R-CNN. - Lingqiao Li; Xiangkai Wang; Mengyu Yang; Hongwei Zhang (IET Image Process., 2023)

A Unified Framework for Pedestrian Trajectory Prediction and Social-Friendly Navigation. - Fang Fang 006; Xiangkai Wang; Zicong Li; Kun Qian 005; Bo Zhou 017 (IEEE Trans. Ind. Electron., 2024)

Deep learning for brain tumor segmentation in multimodal MRI images: A review of methods and advances. - Bin Jiang; Maoyu Liao; Yun Zhao; Gen Li; Siyu Cheng; Xiangkai Wang; Qingling Xia (Image Vis. Comput., 2025)