代表性论著:
[01]Zihao Feng, Xuhong Wang*, Mengqianxi Yu, Yimei Yuan, Bingqian Li,PM2.5 reduces the daytime/nighttime urban heat island intensity over mainland China,Sustainable Cities and Society,2025,118: 106001.(SCI1区)
[02]Zihao Feng, Xuhong Wang*, Jiaxin Yuan, Ying Zhang, Mengqianxi Yu. Changes in air pollution, land surface temperature, and urban heat islands during the COVID-19 lockdown in three Chinese urban agglomerations[J]. ScienceTotal Environment, 2023, 892: 164496.(SCI1区)
[03]Yurong Zheng, Xuhong Wang*, Xiu Zhang , Guigui Hu. Multi-spatiotemporal patterns of aerosol optical depth and influencing factors during 2000-2020 from two spatial perspectives: The entire Yellow River Basin region and its urban agglomerations.[J]. International Journal of Applied EarthObservations and Geoinformation.2022,106, 102643.(SCI1区)
[04][04]Yuan, Jiaxin, Xuhong Wang*, Zihao Feng, Ying Zhang, and Mengqianxi Yu. Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-Scale Geographically Weighted Regression Model in Chinese National-Level Urban Agglomerations. Remote Sensing. 2023, 15, 4613.(SCI)
[05]Meng Zhang, Wang XuHong*, Chenlie Shi,Dajinag Yan. Automated Glacier Extraction Index by Optimization of Red/SWIR and NIR/SWIR Ratio Index for Glacier Mapping UsingLandsat Imagery [J]. Water, 2019, 11(6), 1223.(SCI)
[06]Chenlie Shi, Wang XuHong*, Meng Zhang, Xiujuan Liang, Linzhi Niu, ,Haiqing Han and Xinming Zhu. A Comprehensive and Automated Fusion Method: The Enhanced Flexible Spatiotemporal DAta Fusion Model for Monitoring Dynamic Changes of Land Surface [J]. Applied Sciences. 2019, 9(9), 3693.(SCI)
[07]Xinming Zhu, Xuhong Wang*, Dajiang Yan, Zhuang Liu & Yongfang Zhou. Analysis of remotely-sensed ecological indexes' influence on urban thermal environment dynamic using an integrated ecological index: a case study of Xi’an, China [J]. International Journal of Remote Sensing, 2019, 40(9): 3421-3447. (SCI)
[08]Dajinag Yan, Xuhong Wang*, Xinming Zhu, Chang Huang & Wenping Li. Analysis of the use of NDWIgreen and NDWIred for inland water mapping in the Yellow River Basin using Landsat-8 OLI imagery[J]. Remote Sensing Letters, 2017,(8)10: 996-1005. (SCI、EI)
[09]Wenting Mao, Xuhong Wang*, Jing Cai & Mingying Zhu. Multi-dimensional histogram-based information capacity analysis of urban heat island effect using Landsat 8 data [J]. Remote Sensing Letters, 2016, 7(10): 925-934. (SCI、EI)
[10]张颖,王旭红*,冯子豪,苑嘉欣,余孟千禧.基于SEM模型的热环境时空特征及影响因素分析:以西安都市圈为例[J].环境科学, 2024, 45(6):3734–3745.
[11]杨霞,王旭红*,崔思颖,冯子豪,蒋子琪.关中地区不同类型气溶胶时空分布特征与驱动因素[J].环境科学学报,2021,43(3): 343-352.
[12]蒋子琪,王旭红*,冯子豪,崔思颖,杨霞.西安市热岛效应与污岛效应的相互作用研究[J].干旱区研究,2022,39(6): 1768-1781.
[13]郑玉蓉,王旭红*,崔思颖,冯子豪,张秀,刘康.基于地基太阳光度计观测的长安区气溶胶光学特性变化及其与颗粒物浓度的关系[J]环境科学[11], 2022,43(7):3494 -3507. .
[14]郑玉蓉,王旭红*,张秀,胡贵贵,梁秀娟,牛林芝,韩海青.基于Landsat数据的关中盆地腹地AOD时空格局及城市化对其影响研究[J]环境科学,2021,42(6):2699-2712.
[15]张秀,王旭红*,郑玉蓉,崔思颖,杨霞,蒋子琪.气溶胶光学厚度和不透水地表覆盖度对城市热岛强度的影响--以关中地区为例[J]生态学报,2021,41(22):8965-8976.
[16]梁秀娟,王旭红*,牛林芝,韩海青,郑玉蓉,张秀.大西安都市圈城市热岛效应时空分布特征及AOD对热岛强度的影响研究[J].生态环境学报,2020,29(8):1566-1580.
[17]牛林芝,王旭红*,韩海青,等.中亚五国气溶胶光学厚度时空分布特征研究[J].环境科学学报,2021,41( 2) : 321-333.
[18]韩海青,王旭红*,牛林芝,梁秀娟,蒋晓辉,谭竹婷.1992-2015年中亚五国LUCC特征及耕地驱动力研究[J].中国生态农业学报(中英文),2021, 29(2): 325-339.
[19]刘状,孙曦亮,刘丹,王旭红*,祝新明,闫大江. 2001-2017年中国北方省份气溶胶光学厚度的时空特征[J].环境科学学报, 2018, 38(8), 3177-3184.
[20]王旭红,李飞,张哲等.遥感图像信息容量约束区间的选择与空间分异性[J].地球信息科学学报,2014, 16(83):108-116.
[21]杨旭艳,王旭红,胡婷.典型地物特征提取的适宜尺度选择[J].山地学报, 2012,30(5): 607 -615.
[22]李良军,王旭红,妙丹,申怡.遥感图像信息容量与植被指数的耦合关系研究[J].干旱区地理, 2014, 37(2) :342-348.
[23]王旭红,郭建明,张宇坤.元胞自动机的遥感影像混合像元分类[J].测绘学报,2008,37(2):42-48 (EI).
[24]杜挺,王旭红,梁海艳,黄安,杨联安.湖泊叶绿素a反演的大气校正模型比较研究[J].云南大学学报(自然科学版).2014,36(2) :241-248.
[25]刘丹;王旭红*;刘状;闫大江;祝新明.近16年渭河下游河流湿地变化分析[J].干旱区资源与环境, 2019, 33(5), 112-118.