International SCI Journal Papers updated: January 2026:

Wang, X*., Lv, Q., Xu, Y. J., Fu, R., Xie, Y., Dai, C., et al. (2025). Predicting nitrous oxide emission from China's waterbodies with multiple deep learning algorithms. Water Resources Research, 61, e2025WR040670.

Wang, X*., Dai, Y., Xu, Y. J., Lv, Q., Ji, X., Mao, B., Jia, S., Liu, Z., Luo, C., & Rong, Y. (2025). Dual-quantification of the different contributions of climate change and anthropogenic activities to eutrophication of rivers and lakes in Asia’s largest river basin (Yangtze River). Journal of Hazardous Materials, 496.

Wang, C., Wang, X*., Xu, Y. J., Lv, Q., Ji, X., & Jia, S., et al. (2025)，Nitrogen and phosphorus evolution process and driving mechanisms of three major freshwater lakes with different river-lake connectivity (drlc) in the lower reaches of the yangtze river, the largest river in asia. Journal of Cleaner Production.486:144471.

Liu, Z., Wang, X*., Xu, Y. J., Mao, B., Jia, S., & Wang, C., et al. (2025). Multi-indicators to investigate the spatiotemporal effect of groundwater-lake interaction on lake development: case study in the largest fresh water lake (poyang lake) of china. Journal of Hydrology, 650.

Luo C., Wang, X*., Xu, Y., et al. (2025).Synergistic identification of hydrogeological parameters and pollution source information for groundwater point and areal source contamination based on machine learning surrogate–artificial hummingbird algorithm,  Hydrology and Earth System Sciences 29(20):5719-5736.

Jia, S., Wang, X*., Xu, Y.,et al. (2025)Intensive anthropogenic activities drive dynamic surface water-groundwater interactions: Implications for contaminant pathways at a catchment scale, Journal of Contaminant Hydrology,277:104808

Wang, X*.,Ji, X., Xu, Y., et al. (2025)Deciphering runoff-sediment-nutrient dynamics in agricultural watersheds supplied by large feeder Rivers: A multi-scale analysis, Journal of Contaminant Hydrology 277:104796

Wang,X*, lv, Q., Xu, Y., Fu, R., Xie, Y., Dai, C., Zhou, N., Wei, Y., Ji, X., Mao, B., et al.  (2025). Environmental behaviors, biotransformation, and toxicological risks of PFPiAs: A comprehensive review of an emerging PFAS. Science of the Total Environment. 180119.

Luo, C., Wang, X*., Xu, Y., et al. (2025).Prediction of ammonia and total nitrogen in large freshwater lake watershed based on small sample data and analysis of their spatiotemporal variation and driving mechanism, Process Safety and Environmental Protection 203.

Luo, C., Wang, X*., Xu, Y., et al. (2025).Unveiling the mystery of eutrophication prediction for large freshwater lake through Temporal Convolutional Network hybrid model, Journal of Environmental Chemical Engineering 13(5)

Dai, Y., Wang, X^*., Xu, Y., Fu, R., Xie, Y., Dai, C., Zhou, N., Lv, Q., Ji, X., Mao, B., Jia, S., Liu, Z., Luo, C., Rong, Y., (2026). Seasonal and regional differences and drivers of recent total phosphorus levels in Asia’s largest basin under high-intensity anthropogenic activities. Geosci. Front. 17(4), 102307. doi: 10.1016/j.gsf.2026.102307

Wang, X*., Luo, C., Xu, Y., et al. (2026). Hybrid prediction framework for total nitrogen in freshwater lake watershed based on the northern goshawk optimization and multiple machine learning methods: An integrated strategy from data cleaning to model optimization，Journal of Environmental Chemical Engineering 14(2):121410.

Wang, X*., Liu, Z., Xu, Y., et al. (2025).Extreme drought affects lake water quality, quantity, morphometry: Evidence from China’s largest fresh water lake under the 2022 global drought, Geoscience Frontiers 16(6):102146

Dai, Y., Wang, X*., Xu, Y.et al. (2025).Divergence in anthropogenic activities contributed to the eutrophication heterogeneity between river and lake at basin scale: new insights from trophic state index in Asia's largest basin (Yangtze River), Journal of Contaminant Hydrology, 276:104717

Wang, X*., Rong, Y, Xu, Y.et al. (2025).Unraveling nitrogen evolution characteristics and driving mechanisms of estuarine alluvial islands, Journal of Contaminant Hydrology,  275:104706

Jia, S., Wang, X*., Xu Y. J., Liu Z., Mao B., Lv Q., Ji X., Luo C., Dai Y., Rong Y. 2025. Impact of intensive human activities on nitrate pollution in river basins: A spatiotemporal isotopic analysis. Journal of Water Process Engineering. 77: 108335.

Wang, X*., Rong, Y., Xu, Y. J., Lv, Q., Ji, X., Mao, B., Jia, S., Liu, Z., Luo, C., Dai, Y. (2025). Multi-factors reveal spatiotemporal evolution trend and driving mechanism of salinity in coastal zone shallow sea area. Environmental Technology & Innovation, 104424.

Luo, C., Wang, X*., Xu, Y. J., Wang, C., Lv, Q., Ji, X., Mao, B., Jia, S., Liu, Z., Rong, Y., & Dai, Y. (2025) Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake). Journal of Water Process Engineering ,72,107511.

Luo, C., Wang, X*., Xu, Y. J., Lv, Q., Ji, X., Mao, B., Jia, S., Liu, Z., Rong, Y., & Dai, Y. (2025b). Multi-machine learning methods for rapid and synergistic inversion of groundwater contamination source, hydrogeologic parameter and boundary condition. Journal of Contaminant Hydrology, 273, 104599.

Liu, Z., Wang, X*., Xu, Y.J., Jia, S., Mao, B., Luo, C., Ji, X., Lv, Q., (2025) Spatial heterogeneity of lake sediment hydraulic conductivity, hydrological connectivity and causes analysis under the influence of sand mining activities: In-situ tests in a typical large sand mining lake (Poyang lake). Journal of Contaminant Hydrology. 274, 104671.

Wang, X*., Liu, Z., Xu, Y.J., Mao, B.,Jia, S., Ji,X., Wang, C., Lv, Q. (2024). Revealing nitrate sources seasonal difference between groundwater and surface water in China's largest fresh water lake (Poyang Lake): Insights from sources proportion, dynamic evolution and driving forces, Asian. Science of the Total Environment. 178131.

Wang, C., Wang, X*., Xu, Y. J., Lv, Q., Ji, X., Jia, S., Liu, Z., & Mao, B. (2024). Multi-evidences investigation into spatiotemporal variety, sources tracing, and health risk assessment of surface water nitrogen contamination in China. Environmental Research, 119906.

Jia, S., Wang, X*., Liu, Z., Mao, B.(2024). A new data-driven model to predict monthly runoff at watershed scale: insights from deep learning method applied in data-driven model. Water Resources Management, 38(13), 5179-5194.

Wang, X*., Ji,X., Xu, Y.J., Mao, B. Jia, S., Wang, C., Liu, Z., Lv, Q. (2024). Multi-machine learning methods to predict spatial variation characteristics of total nitrogen at watershed scale: Evidences from the largest watershed (Yangtze River Watershed), Asian. Science of the Total Environment. 175144.

Liu, Z., Wang, X*., Wan, X. (2024). Evolution origin analysis and health risk assessment of groundwater environment in a typical mining area: Insights from water-rock interaction and anthropogenic activities. Environmental Research. 252.

Mao, B., Wang, X*., Jia, S., Liu, Z., (2024). Multi-methods to investigate the baseflow: Insight from watershed scale spatiotemporal variety perspective. Ecological Indicators. 158, 111573.

Wang, X., Jia, S., Xu, Y.J., Liu, Z. and Mao, B., (2024). Dual stable isotopes to rethink the watershed-scale spatiotemporal interaction between surface water and groundwater. Journal of Environmental Management. 351, 119728.

Liu, Z., Wang, X*., Jia, S., Mao, B. (2023). Eutrophication causes analysis under the influencing of anthropogenic activities in China's largest fresh water lake (Poyang Lake): evidence from hydrogeochemistry and reverse simulation methods. Journal of Hydrology. 625. 130020.

Jia, S., Wang, X*., Liu, Z., Mao, B. (2023). Comparison of multi-DLM approaches for predicting daily runoff: evidence from the data-driven model in one of China's largest wheat production-bases. Environmental science and pollution research international, 30, 93862–93876

Wang, X., Xu, Y.J., Liu, Z., Jia, S., Mao, B., (2023). Spatiotemporal changes of nitrate retention at the interface between surface water and groundwater: insight from watershed scale in an elevated nitrate region. Hydrological Processes. e14856.

Liu, Z., Wang, X*., Jia, S., Mao, B., (2023). Multi-methods to investigate spatiotemporal variations of nitrogen-nitrate and its risks to human health in China's largest fresh water lake (Poyang Lake). Science of the Total Environment. 160975.

Wang, X. et al. (2022). Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China. Water, 14, 3979.

Wang, X., Xu, Y. J., & Zhang, L. (2022). Watershed scale spatiotemporal nitrogen transport and source tracing using dual isotopes among surface water, sediments and groundwater in the Yiluo River Watershed, Middle of China. Science of The Total Environment, 155180.    

Wang, X., Liu, C., Hou, H., & Wang, X. (2021). Identifying watershed-scale spatiotemporal groundwater and surface water mixing function in the Yiluo River, Middle of China. Environmental Science and Pollution Research, 28(9), 11053-11065.

Wang, X. (2018). The characteristic and influence factors of extinction depth of shallow groundwater on the high-latitude region: a case study on the Sanjiang Plain, northeast China. Environmental Science and Pollution Research, 25(7), 6695-6706.

Wang, X., Lu, W., Jun Xu, Y., Zhang, G., Qu, W., & Cheng, W. (2016). The positive impacts of irrigation schedules on rice yield and water consumption: synergies in Jilin Province, Northeast China. International Journal of Agricultural Sustainability, 14(1), 1-12.

Wang, X., Zhang, G., & Xu, Y. J. (2016). Groundwater and surface water availability via a joint simulation with a double control of water quantity and ecologically ideal shallow groundwater depth: a case study on the Sanjiang Plain, northeast China. Water, 8(9), 396.

Wang, X., Zhang, G., Xu, Y. J., & Shan, X. (2015). Defining an ecologically ideal shallow groundwater depth for regional sustainable management: conceptual development and case study on the Sanjiang Plain, Northeast China. Water, 7(7), 3997-4025.

Wang, X., Zhang, G., & Xu, Y. J. (2015). Impacts of the 2013 extreme flood in Northeast China on regional groundwater depth and quality. Water, 7(8), 4575-4592.

Wang, X., Zhang, G., Xu, Y. J., & Sun, G. (2015). Identifying the regional-scale groundwater-surface water interaction on the Sanjiang Plain, Northeast China. Environmental Science and Pollution Research, 22(21), 16951-16961.

Wang, X., Zhang, G., & Xu, Y. J. (2014). Spatiotemporal groundwater recharge estimation for the largest rice production region in Sanjiang Plain, Northeast China. Journal of Water Supply: Research and Technology—AQUA, 63(8), 630-641.

Zhao, Y., Wang, X., Liu, C., Wang, S., Wang, X., Hou, H., ... & Li, H. (2019). Purification of harvested rainwater using slow sand filters with low-cost materials: Bacterial community structure and purifying effect. Science of the Total Environment, 674, 344-354.

Lu, W., Cheng, W., Zhang, Z., Xin, X., & Wang, X. (2016). Differences in rice water consumption and yield under four irrigation schedules in central Jilin Province, China. Paddy and Water Environment, 14(4), 473-480.

Liu, Y., Jiang, X., Zhang, G., Xu, Y. J., Wang, X., & Qi, P. (2016). Assessment of shallow groundwater recharge from extreme rainfalls in the Sanjiang plain, northeast China. Water, 8(10), 440. 

Published books:

Zhang Guangxin, Wang Xihua et al., Evolution and Adaptive Management of Water Resources in Sanjiang Plain, China Water and Power Press, 2019, Associate editor.

Environmental Geology of Key Urban Areas in the North of Central Plains Urban Agglomeration, Liu Changli et al., Geological Publishing House, 2020, Main editor.

The international meeting reports:

June 10, 2014 to June 13, 2014,The International Conference on Regional Sustainable Development in Northeast Asia. Presentation "Groundwater balance and its ecologically Ideal Groundwater depth in the Sanjiang Plain, Northeast China". Changchun city, Jilin province.

 October 9 -October 12, 2014, The 7th Annual Conference of China Natural Resources Association. Report "Research on water Resources Carrying Capacity in Sanjiang Plain".  Zhengzhou city.Henan province.

 October 31 -November 2, 2014, the 12th China Water Forum. Report "Study on maximum Paddy field area supported by groundwater in Sanjiang Plain".  Fuzhou city. Fujian province.

 23 September - 30 September 2017, IAH International Association of Groundwater Scientists. Presentation

 "Extinction Depth of Shallow Groundwater on the High-latitude Region",  Dubrovnik  city. Croatia.