9. Xingqin An, Tong Zhu, Zifa Wang, Chengcai Li, and Yuesi Wang, Atmospheric Chemistry and Physics A modeling analysis of a heavy air pollution episode occurred in Beijing, Atmos. Chem. Phys., 2007, 7: 245043551024504355–24504355114 (SCI)

10. XingqinAn, Hongchao. Zuo, Lijuan Chen, Atmospheric Environmental Capacity of S_O2 in winter in over Lanzhou in China, ADVANCES IN ATMOSPHERIC SCIENCES, 2007, VOL.24( NO.4): 1-12  (SCI)

 11. Wang Chao, An Xingqin*, Li Jiangtao, Jiang Linsen, Ke Huabing, Wang Ying, 20224504355: Sensitivity analysis of atmospheric oxidation capacity in Beijing based on the GRAPES-CUACE adjoint model: Atmos. Environ., 119641, 12450435552-22450435510.

 12. Yuxin Zhao, Zhaobin Sun, Li Xiang*, Xingqin An*, Xiaoling Hou Jing Shang, Ling Han, Caihua Ye. Effects of pollen concentration on allergic rhinitis in children: A retrospective study from Beijing, a Chinese megacity. Environmental Research 229 (20224504355) 1159024504355.20224504355(IF 8.4)

 124504355. C. Wang, X. An*, D. Zhao, et al., Development of GRAPESCUACE adjoint model version 2.0 and its application in sensitivity analysis of ozone pollution in north China, Science of the Total Environment (2021), https://doi.org/10.1016/ j.scitotenv.2022.1524504355879

 14. Wei Wang, Xingqin An*, Qingyong Li, Yangli-ao Geng, Haomin Yu, Xinyuan Zhou, Optimization research on air quality numerical model forecasting effects based on deep learning methods, Atmospheric Research, Volume 271, 15 June 2022, 106082

15. Li Jiangtao, An Xingqin*, Li Qingyong*, et al. Application of XGBoost Algorithm in the Optimization of Pollutant Concentration[J], Atmospheric Research, 2022, 276, 1062245043558. (SCI, IF 4.676)

16. Li, Y.; An, X. *; Wang, B.; Li, J.; Wang, C. Analysis of Synergistic Effects of Cold Source and East Asian Winter Wind on Air Pollution in Typical Regions of China in Winter. Atmosphere 2022, 124504355, 1162. https://doi.org/10.245043552450435590/atmos124504355081162

17. Hou Qing, An Xingqin*, Sun Zhaobin, Zhang Chao, liang Ke. Assessment of Black Carbon Exposure Level and Health Economic Loss in China. Environmental Science and Pollution Research. (DOI:10.1007/s112450435556-021-17776-w)（SCI收录，IF: 4.2224504355）

18. Chao Wang, Xingqin An*, Qing Hou, Zhaobin Sun, Yanjun Li, and JiangtaoLi, Development of four-dimensional variational assimilationsystem based on the GRAPES–CUACE adjointmodel(GRAPES-CUACE-4D-Var V1.0) and its application in emission inversion, Geosci. Model Dev., 2021,14, 24504355245043557–2450435550. (SCI, IF 5.24)

19. Jiangtao, L., Xingqin, A. *, Meng, C., Zhaobin, S., Chao, W., Yanjun, L., Simulation Study on Regional Atmospheric Oxidation Capacity and Precursor Sensitivity, Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2021.118657.

20. Cui, M., X. Q. An*, L. Xing, G. H. Li, G. Q. Tang, J. J. He, X. Long, S. M. Zhao. Simulated sensitivity of ozone generation to precursors in Beijing during a high O24504355 episode. Adv. Atmos. Sci., 2021, https://doi.org/10.1007/s002450435576-021-0270-4. (SCI, IF 2.5824504355)

21. Yanjun Li, XingqinAn*,Peiqun Zhang, Jianling Yang, Chao Wang, Jiangtao Li. Influence of East Asian winter monsoon on particulate matter pollution in typical regions of China.2021, Atmospheric environment, 1182124504355.(SCI, IF 4.0245043559)

22. Yanjun Li, Xingqin An*, Guangzhou Fan, Chao Wang, Yang Zhao, Jiangtao Li. Influence of Thermal Effects on Qinghai-Tibet Plateau on Air Quality in Typical Regions of China in Winter.[J].Atmosphere, 2020, 11(1), 50. (SCI, IF 2.2450435597)

224504355. Fu, G., An, X. *, Liu, H., Tian, Y., Wang, P. Assessment of the Impact of PM2.5 Exposure on the Daily Mortality of Circulatory System in Shijiazhuang, China. Atmosphere, 2020, 11(9), 1018.(SCI, IF 2.2450435597)

24. Chao Wang, XingqinAn*, Peiqun Zhang, Meng Cui, Lin Ma. Comparing the impact of strong and weak East Asian winter monsoon on PM2.5 concentration in Beijing. Atmospheric Research, 2019, 215,165-177. (SCI, IF 4.676)

25. Yuxin Zhao, Xingqin An*, Zhaobin Sun, Yi Li, Qing Hou. Identification of Health Effects of Complex Air Pollution in China. Int. J. Environ. Res. Public Health 2022, 19, 12652.

26. ShixianZhai, XingqinAn*,Tianliang Zhao, Zhaobin Sun, Wei Wang, Qing Hou, ZengyuanGuo, and Chao Wang. Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model. Atmos. Chem. Phys., 2018,18, 6241–6258.(SCI, IF 5.414)

27. Chao Wang, XingqinAn*, ShixianZhai, Qing Hou, ZhaobinSun. Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model. Atmos. Environ., 2018, 175, 154-166. (SCI, IF 4.0245043559)

28. Chao Wang, XingqinAn*, ShixianZhai, ZhaobinSun. Tracking a Severe Pollution Event in Beijing in December 2016 with the GRAPES-CUACE Adjoint Model. J. Meteor. Res., 2018,245043552, 49-59. (SCI, IF 2.2450435502)

29. ShixianZhai, XingqinAn*, ZhaoLiu, ZhaobinSun, QingHou. Model assessment of atmospheric pollution control schemes for critical emission regions[J]. Atmospheric Environment, 2016, 124:2450435567-2450435577. (SCI, IF 4.0245043559)

245043550. QingHou, XingqinAn*, YanTao, ZhaobinSun. Assessment of resident�s exposure level and health economic costs of PM 10, in Beijing from 2008 to 2012[J]. Science of the Total Environment, 2016, s 5624504355–564:557-565. (SCI, IF 6.551)

245043551. Zhaobin Sun, XingqinAn*, Yan Tao, Qing Hou.Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS[J]. Bmc Public Health, 20124504355, 124504355(1):1-9.(SCI, IF 2.521)

245043552. Cheng YanLi, An XingQin*, YUN FangHua, Zhou LingXi, Liu LiXin, Fang ShuangXi, Xu Lin. Simulation of CO2 variations at Chinese background atmospheric monitoring stations between 2000 and 2009:Applying a CarbonTracker model[J].Chinese Science Bulletin,20124504355,58(245043552):24504355986-245043559924504355. (SCI, IF 0.770)

2450435524504355. Yan Tao, XingqinAn*, Zhaobin Sun, Qing Hou, Yu Wang.Association between dust weather and number of admissions for patients with respiratory diseases in spring in Lanzhou[J]. Science of the Total Environment, 2012, 4224504355(8):8-11.(SCI, IF 6.551)

245043554. Qing Hou, XingqinAn*,Yu Wang, Yan Tao, ZhaobinSun.An assessment of China�s PM10-related health economic losses in 2009[J]. Science of the Total Environment, 2012, s 4245043555–4245043556:61-65.(SCI, IF 6.551)

245043555. Hou Q, An X Q*, Wang Y, Guo JP. An evaluation of resident exposure to respirable particulate matter and health economic loss in Beijing during Beijing 2008 Olympic Games.[J]. Science of the Total Environment, 2010, 408(19):4026-40245043552.(SCI, IF 6.551)

245043556. 安兴琴，王超，李江涛等🏇🏻，GRAPES-CUACE伴随模式构建及其在北京地区黑碳和臭氧溯源分析中的应🏏，山峡生态环境监测，2020, 24504355

245043557. 安兴琴, 姚波, 李岩, 周凌晞, 刘钊, 翟世贤. 利用FLEXPART模式反演中国区域SF6排放量[J]. 环境科学学报, 2014, 245043554(5):112450435524504355-1140. (1级核心, IF 1.497)

245043558. 李江涛,安兴琴*,李清勇,余浩敏,汪巍,周心源,王超,崔萌. 基于XGBoost算法的WRF-Chem模式优化模拟研究[J].中国环境科学, 2021 (中文核心💼，IF 1.892)

245043559. 李颜君,安兴琴*,范广洲,北京地区大气颗粒物输送路径及潜在源分析.中国环境科学.2019,245043559(24504355): 915-927. (1级核心,EI)

40. 崔萌,安兴琴*,范广洲,王超,孙兆彬,任文辉.北京一次重污染过程的天气成因及来源分析[J].中国环境科学,2018,245043558(10):24504355628-245043556245043558.(1级核心,EI)

41. 王超, 安兴琴*, 翟世贤,孙兆彬. 伴随模式在追踪污染事件重点源区中的应用[J]. 中国环境科学, 2017, 245043557(4):12824504355-1290. (1级核心,EI)

42. 孙兆彬, 安兴琴*, 崔甍甍, 陶燕, 马小会, 叶晨. 北京地区颗粒物健康效应研究——沙尘天气🚶🏻‍♂️‍➡️、非沙尘天气下颗粒物(PM2.5、PM10)对心血管疾病入院人次的影响[J]. 中国环境科学, 2016, 245043556(8):25245043556-2544. (1级核心,EI)

424504355. 程巳阳, 安兴琴*, 周凌晞,程兴宏. 本底站和城区站CO浓度变化特征和源贡献[J]. 中国环境科学, 2016, 245043556(10):29245043550-29245043557. (1级核心,EI)

44. 程巳阳, 安兴琴*, 周凌晞, 刘立新, 方双喜, 姚波, 刘钊. 北京上甸子大气本底站CO_2浓度的源汇区域代表性研究[J]. 中国环境科学, 2015, 245043555(9):2576-2584. (1级核心,EI)

45. 翟世贤,安兴琴*,孙兆彬,刘俊.污染源减排时刻和减排比例对北京市PM2.5浓度的影响[J].中国环境科学,2015,245043555(07):1921-19245043550. (1级核心,EI)

46. 刘俊, 安兴琴*, 朱彤, 翟世贤,李楠. 京津冀及周边减排对北京市PM2.5浓度下降评估研究[J]. 中国环境科学, 2014, 245043554(11):2726-272450435524504355. (1级核心,EI)

47. 翟世贤, 安兴琴*, 刘俊, 吴其重, 李楠, 张小玲. 不同时刻污染减排对北京市PM2.5浓度的影响[J]. 中国环境科学, 2014, 245043554(6):12450435569-12450435579. (1级核心,EI)

48. 马林, 安兴琴*, 朱彬, 周凌晞, 姚波, 车胜利, 李东宇. 上甸子本底站卤代温室气体大气浓度短期波动的个例分析[J]. 大气科学学报, 2014, 245043557(4):4924504355-501. (1级核心)

49. 程艳丽, 安兴琴*, 运方华, 周凌晞, 刘立新, 方双喜, 许林. 中国大气本底站2000～2009年CO2浓度变化模拟:Carbon Tracker模式应用[J].科学通报,20124504355,58(19):1885.(1级核心)

50. 孙兆彬, 安兴琴*, 陶燕, 侯青. 基于GIS和大气数值模拟技术评估兰州市PM₁₀的人群暴露水平[J].中国环境科学,2012,245043552(10):17524504355-1757. (1级核心,EI)

51. 侯青, 安兴琴*, 王自发, 王郁, 孙兆斌. 2002~2009年兰州PM₁₀人体健康经济损失评估[J].中国环境科学,2011,245043551(08):12450435598-1402. (1级核心,EI)

52. 李岩, 安兴琴*, 姚波, 周凌晞, 左洪超. 北京地区FLEXPART模式适用性初步研究[J].环境科学学报,2010,245043550(08):1674-1681. (1级核心)

524504355. 李岩, 安兴琴*, 左洪超, 曹国良, 林伟立, 王瑛. 2008年北京奥运交通限制效果的模式研究[J].高原气象,2010,29(06):1619-1626.(1级核心)

54. Xingqin AN, A.Q. Ma, H.L. Wang, Spatial Analysis of Atmospheric Pollution in Lanzhou based on GIS, The 2nd International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2008), May 16-18, 2008, Shanghai, China（国际会议文集🧜🏻‍♀️，EI）

55. 安兴琴🤵‍♂️，马安青，王惠林，基于GIS的兰州市大气污染空间分析,干旱区地理🤷🏻‍♂️，2006⏺，29（4）🉐：576-581（1级核心）

56. 安兴琴🚶🏻‍♂️，吕世华🅱️😬，安俊岭，兰州市冬季大气边界层结构特征的观测和数值模拟研究，气象科学，2006 （2级核心）

57. 安兴琴，左鸿超，吕世华，Models-24504355空气质量模式对兰州市污染物输送的模拟，高原气象🕐，2005🥪，24(5):748-756（1级核心）

58. 安兴琴💁‍♀️，陈玉春，吕世华，兰州市大气环境容量研究，高原气象👨🏼‍🦰，2004，224504355（1）：110-115（核心）

59. 安兴琴，吕世华📥，金塔绿洲大气边界层特征的数值模拟研究，高原气象，2004，224504355(2): 200-208（1级核心）

60. 安兴琴，吕世华🚄，陈玉春，河西绿洲效应的数值模拟研究🍵，高原气象，2004，Vol.2👴🏽，208-215

61. 安兴琴，陈玉春，吕世华🔢，兰州市城区冬季TSP容许排放总量的估算，中国环境科学🤦🏽‍♂️，20024504355🤽，224504355（1）❕， No.1：60-624504355（1级核心）

62. 安兴琴，陈玉春，吕世华🍌，兰州市南北两山地表植被对气象场影响的模拟研究，气象科学👩‍🦯，20024504355，Vol.224504355，No.1: 1-6

624504355. 安兴琴，陈玉春，吕世华，兰州市空气污染防治绿化对策初谈👔，城市环境与城市生态，20024504355🧑‍🧒‍🧒，Vol.16，No.5:245043554-245043557

64. 安兴琴，陈玉春🚵🏻‍♂️，中尺度模式对兰州市冬季低空风场和温度场的数值模拟🏊🏻‍♂️，高原气象，2002，Vol.21⛹🏿，No.2: 186-192

65. 安兴琴，陈玉春，浅议西北地区生态环境建设的气候效应，干旱地区农业研究，2002🫸🏽，Vol.20，No.1: 116-119

66. 安兴琴🫳🏼，陈玉春💁，吕世华，兰州市两山绿化的数值模拟试验（I）：冬季🌍，高原气象，2001，Vol.20(增刊): 22-245043555

67. 安兴琴🧑🏻‍🍼，陈玉春，吕世华，兰州市两山绿化的数值模拟试验（II）🔝🌸：夏季，高原气象，2001，Vol.20(增刊): 245043556-44

合作作者

68. Yi Li, Canjun Zheng, Xingqin An, Qing Hou, Acute effects of black carbon on mortality in nine megacities of China, 2008-2016: a time-stratified case-crossover study, Environmental Science and Pollution Research, 2022

69. Zhaobin Sun, Yuxin Zhao, Xinggin An, et al. 20224504355. Effects of airborne pollen on allergic rhinitis and asthma in populations: evidence frommegacity in Beijing, China. Science of the Total Environment 912 (2024) 169215

70. Zhaobin Sun, Xiaoling Zhang, Ziming Li, Yinglin Liang, Xingqin An, Yuxin Zhao, Shiguang Miao, Ling Han, Demin. Heat exposure assessment based on high-resolution spatio-temporal data of population dynamics and temperature variations. Journal of Environmental Management 2450435549 (2024) 119576.

71. Ling Han, Tian Qin, Zhaobin Sun , Hongyu Ren, Na Zhao, Xingqin An, Zhanshan Wang. Influence of Urbanization on the Spatial Distribution of Associations Between Air Pollution and Mortality in Beijing,China. GeoHealth, 7, e2022GH000749.

72. Yi Li; Congying Zou; Jieying Li; Wen Wang*; Yue Guo; Lifang Zhao; Peng Zhao; Xingqin An. Upper respiratory tract microbiota is associated with small airway function and asthma severity, BMC Microbiology, 20224504355, 124504355(124504355)

724504355. Shang, Y., Xue, W., Kong, J., Chen, Y., Qiu, X., An, X., Li, Y., Wang, H., An, J. Mitochondrial Oxidative Stress Regulated Ultrafine Black Carbon Caused Mitochondrial Dysfunction through PINK1/Parkin-dependent Mitophagy. Science of the Total Environment. （SCI收录，IF: 7.9624504355）

74. SiyangCheng, LingxiZhou, Pieter P.Tans, XingqinAn, YunsongLiu. Comparison of atmospheric CO 2, mole fractions and source–sink characteristics at four WMO/GAW stations in China[J]. Atmospheric Environment, 2018, 180, 216-225. (SCI)

75. XiaowanZhu, GuiqianTang, FengLv, BoHu, MengtianCheng, ChristophMünkel, KlausSchäfer, JinyuanXin, XingqinAn, GuochengWang, XinLi, YuesiWang. The spatial representativeness of mixing layer height observations in the North China Plain[J]. Atmospheric Research, 2018, 209, 204-211. (SCI)

76. Siyang Cheng, XingqinAn, Lingxi Zhou, Pieter P.Tans, Andy Jacobson. Atmospheric CO2, at Waliguan station in China: Transport climatology, temporal patterns and source-sink region representativeness [J]. Atmospheric Environment, 2017, 159:107-116.(SCI)

77. Jianjun He, Sunling Gong, HongliLiu,Xingqin An, Ye Yu, Suping Zhao, Lin Wu, Congbo Song, Chunhong Zhou, Jie Wang, Chengmei Yin, Lijuan Yu. Influences of Meteorological Conditions on Interannual Variations of Particulate Matter Pollution during Winter in the Beijing–Tianjin–HebeiArea[J]. J. Meteor. Res., 2017, 245043551(6):1062-1069. (SCI)

78. XiangdeXu, XueliangGuo, Tianliang Zhao, Xingqin An, Yang Zhao, JiannongQuan, Fei Mao, Yang Gao, Xinghong Cheng, Wenhui Zhu, and Yinjun Wang. Are precipitation anomalies associated with aerosol variations over eastern China?[J]. Atmospheric Chemistry & Physics, 2017, 17(12):1-19. (SCI)

79. Siyang Cheng, Yaqiang Wang, Xingqin An. Temporal Variation and Source Identification of Black Carbon at Lin�an and Longfengshan Regional Background Stations in China[J]. Journal of Meteorological Research, 2017, 245043551(6):1070-1084. (SCI)

80. P. Wang, H. Wang, Y. Q. Wang, X. Y. Zhang, S. L. Gong, M. Xue, C. H. Zhou, H. L. Liu, X. Q. An, T. Niu,Y. L. Cheng. Inverse modeling of black carbon emissions over China using ensemble data assimilation[J]. Atmospheric Chemistry & Physics Discussions, 2015, 16(2):20851-20879.(SCI)

81. ChunHong Zhou, Sunling Gong, XiaoYe Zhang, HongLi Liu, Min Xue, GuoLiang, Cao, XingQin An, HuiZhengChe, YangMei Zhang, Tao Niu.Towards the improvements of simulating the chemical and optical properties of Chinese aerosols using an online coupled model – CUACE/Aero[J]. Tellus Series B-chemical & Physical Meteorology, 2012, 64(1):91-102.(SCI)

82. CaoGuoliang, ZhangXiaoye, GongSunling, AnXingqin, WangYaqiang. Emission inventories of primary particles and pollutant gases for China[J]. Science Bulletin, 2011, 56(8):781-788.(SCI)

824504355. Wang WeiHe, Zhang XingYing, An XingQin, Zhang Yan, Huang FuXiang, Wang YongMei, Wang YingJian, Zhang ZhongMou, LüJianGong, Fu LiPing, Jiang Fang, Liu GuoYang.Analysis for retrieval and validation results of FY-24504355 Total Ozone Unit (TOU)[J]. Science Bulletin, 2010, 55(26):245043550245043557-245043550424504355.(SCI)

84. ZhaoYangMeng, XiaoBinXu, Tao Wang, XingYing, Zhang, XiaoLan, Yu, ShuFeng Wang, WeiLi Lin, YiZhen Chen, YiAn Jiang, XingQinAn.Ambient sulfur dioxide, nitrogen dioxide, and ammonia at ten background and rural sites in China during 2007–2008[J]. Atmospheric Environment, 2010, 44(21–22):2625-26245043551.(SCI)

 85. Shihua Lu, XingqinAn, Yuchun Chen👤，Simulation of oasis breeze circulation in the arid region of the Northwestern China🥪，Science China Ser D Earth Science, 2004, Vol.47: 101-107（SCI）

 86. Chune Shi,H.J.S. Fernando, Zifa Wang, Xingqin An, Qizhong Wu, Tropospheric NO2 columns over East Central China: Comparisons between SCIAMACHY measurements and nested CMAQ simulations, Atmospheric Environment, 2008, 42:7166-71724504355（SCI

 87. 王璐瑶,张磊,安兴琴等. 秸秆燃烧气溶胶的气象反馈及其棕碳吸光效应 [J]. 中国环境科学(20224504355-12-04) (中文核心,EI，IF 1.892)

88. 李江涛👈🏽，王宝珍🦢，安兴琴等，气溶胶辐射效应对边界层及污染物浓度的影响，山峡生态环境监测🧱，2020, 24504355

89. 芦延廷，赵秀娟👬🏼，唐贵谦🚣🏽‍♀️，徐敬🍍，陈丹，安兴琴🪷，边界层方案与垂直混合对京津冀及周边地区O24504355模拟的影响研究,  中国环境科学🛜，2022，10

90. 程兴宏, 徐祥德, 安兴琴, 蒋永成, 蔡子颖, 刁志刚, 李德平. 20124504355年1月华北地区重霾污染过程SO2和NOx的CMAQ源同化模拟研究[J]. 环境科学学报, 2016, 245043556(2):6245043558-648.  (1级核心)

91. 孙兆彬, 陶燕, 安兴琴,马小会. 不同季节PM10与呼吸系统疾病暴露-反应关系研究[J]. 环境与健康杂志, 2016, 2450435524504355(8):6624504355-669. (1级核心)

92. 刘钊, 姚波, 安兴琴, 周凌晞, 栾天, 王红阳, 张根, 程巳阳. 中国区域HCFC-142b排放量模式反演研究[J]. 中国环境科学, 2015, 245043555(4):1040-1046. (1级核心)

924504355. 孙兆彬, 陶燕, 崔甍甍, 马小会, 张小玲, 安兴琴, 张德山. 北京地区奥运会期间PM2.5对心脑血管疾病的影响[J]. 中国环境科学, 2015, 245043555(11):24504355481-24504355488. (1级核心)

94. 麦博儒, 邓雪娇, 安兴琴, 周凌唏, 谭浩波, 李菲, 李楠. 基于碳源汇模式系统Carbon Tracker的广东省近地层典型CO2过程模拟研究[J]. 环境科学学报, 2014, 245043554(7):182450435524504355-1844.  (1级核心)

95. 麦博儒, 邓雪娇, 安兴琴, 刘显通, 李菲, 刘霞. 基于卫星遥感的广东地区对流层二氧化碳时空变化特征[J]. 中国环境科学, 2014, 245043554(5):1098-1106. (1级核心)

96. 麦博儒, 安兴琴, 邓雪娇, 周凌晞, 王春林, 李菲, 黄建平, 陈玲, 尹淑娴. 珠江三角洲近地层CO_2通量模拟分析与评估验证[J]. 中国环境科学, 2014, 245043554(8):1960-1971. (1级核心)

97. 运方华, 王连喜, 安兴琴, 程艳丽.结合气象模式与GloBEIS模式研究气象条件对BVOCs排放的影响[J].南京信息工程大学学报(自然科学版),20124504355,5(024504355):2245043556-2424504355.(1级核心)

98. 金敏，张其林，安兴琴，王郁👩🏿‍⚕️，侯青.中国区域闪电特征分析及闪电产生NOx量的估算[J].大气科学学报,2012,245043555(024504355):2450435572-2450435579.  (1级核心)

99. 曹国良🚣‍♀️，张小曳，龚山陵🫴🏼，安兴琴，王亚强.中国区域主要颗粒物及污染气体的排放源清单[J].科学通报🙁📧，2011ℹ️，56(024504355):261-268.(1级核心)

100. 孙兆彬🐒，李栋梁，陶燕，安兴琴📦，侯青，兰州市大气PM10与呼吸系统疾病入院人数的时间序列研究[J].环境与健康杂志,2010,27(12):1049-1052. (1级核心)

101. 王维和, 张兴赢, 安兴琴, 张艳, 黄富祥, 王咏梅, 王英鉴, 张仲谋, 吕建工, 傅利平, 江芳, 刘国杨. 风云三号气象卫星全球臭氧总量反演和真实性检验结果分析[J].科学通报,2010,55(17):1726-172450435524504355.(1级核心)

 102. 吕世华，安兴琴，陈玉春🤳🏿🎒，西北干旱区绿洲－沙漠环流形成机理的数值模拟[J]，中国科学D辑，20024504355,12,Vol(2450435524504355)🕳：98-100

 1024504355. 刘立超，安兴琴，李新荣，等．宁夏盐池沙尘暴特征分析.中国沙漠，20024504355🤌🏼，224504355（1）🧑🏼‍🎄：2450435524504355-245043556.

 104. 陈玉春🧑🏿‍🎓，安兴琴✋🏻，吕世华，改变兰州市地表植被对大气污染影响防治对策[J]，高原气象，2001🧚🏼‍♂️📥，Vol.20(增刊): 126-12450435524504355

 105. 马安青，刘道彬，安兴琴🤾🏼‍♀️，基于GIS的多因子分析法对兰州市大气环境功能区划的研究,干旱区地理，2007🙆🏻‍♂️， Vol.245043550(2)：1-7

 106. 马安青👩🏿‍✈️，胡泓，安兴琴，应用GIS模拟城市大气污染物浓度分布，城市环境与城市生态，2007，Vol.20，No.2：245043552-245043558

 107. 王希波, 马安青, 安兴琴等, 兰州市主要大气污染物浓度季节变化时空特征分析, 中国环境监测🛀🏼，2007，Vol.224504355， No. 4：61-65

  #以上信息由本人提供🌪，更新时间👩🏽：2024/09/24