研究领域和兴趣包括主被动遥感协同反演地表参数，多源主被动遥感协同建模等。

作为项目主研人员，先后参与了973项目子课题，民用航天项目，中央高校基本科研业务费重点培育项目等多个项目的研究。并且获得了电子科技大学优秀博士生学术支持计划“生态脆弱区植被生物量和土壤水分主被动遥感协同反演方法（编号：YBXSZC20131050）”的资助，进行主被动遥感协同反演地表参数的研究。在“Photogrammetric Engineering & Remote Sensing”、“Journal of Applied Remote Sensing”、“Remote Sensing”等国际SCI期刊上发表论文多篇。

代表性著作：

[1]. Minfeng Xing, Binbin He, Xingwen Quan, and Xiaowen Li, An Extended Approach for Biomass Estimation in a Mixed Vegetation Area Using ASAR and TM Data, Photogrammetric Engineering & Remote Sensing [J], 2014, 80(5):429-438. (SCI)

[2]. Minfeng Xing, Binbin He, and Xiaowen Li, Integration method to estimate above-ground biomass in arid prairie regions using active and passive remote sensing data, Journal of Applied Remote Sensing [J], 2014, 8:803677. (SCI)

[3]. Binbin He, Minfeng Xing and Xiaojing Bai, A Synergistic Methodology for Soil Moisture Estimation in an Alpine Prairie Using Radar and Optical Satellite Data, Remote Sensing [J], 2014, 6:10966-10985. (SCI)

[4]. Minfeng Xing, Binbin He, Xiaowen Li and Xingwen Quan, Soil Moisture Retrieval Using RADARSAT-2 and HJ-1 CCD Data in Grassland, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) [C], Qubec, Canada, 2014, 3220-3223. (EI)