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2025年：
1. Gao, Z., Jiang, Y., Yin, J., Wu, J., Christakos, M.-S., Christakos, G., He, J.*, 2025. Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach. Spatial Statistics 68, 100910. https://doi.org/10.1016/j.spasta.2025.100910
2. Chen, S., Ye, Z., Jin, R., Zhu, J., Wang, N., Zheng, Y., He, J., Wu, J.*, 2025. High-Precision Remote Sensing Monitoring of Extent, Species, and Production of Cultured Seaweed for Korean Peninsula. Remote Sensing 17, 1150. https://doi.org/10.3390/rs17071150
3.Huang, R., He, J., Wu, Z., Christakos, G., Sultana, S., Zhu, Y., Li, D., Duarte, C.M., Wu, J.*, 2025. Time-Frequency Analysis Reveals That Seaweed Farming Enhances Phytoplankton Resilience Under ENSO Events. Journal of Geophysical Research: Oceans 130, e2024JC022289. https://doi.org/10.1029/2024JC022289
4. Wang, M., He, J., Qi, J., Huang, S., Liu, R., Wu, S.*, Du, Z., 2025. Four‐Dimensional Mapping of Sea Temperature and Salinity in the Coastal Waters Based on Generalized Spatio‐Temporal Autoregressive Neural Network. Journal of Geophysical Research: Machine Learning and Computation 2. https://doi.org/10.1029/2024JH000565
5. Wang, M., Yang, K., He, J., Qi, J., Chen, Y., Gu, H., Liu, R., Wu, S.*, Du, Z., 2025b. Enhanced buoy-based water quality time series imputation in coastal waters. Journal of Hydrology 663, 134071. https://doi.org/10.1016/j.jhydrol.2025.134071
2024年：
1. He, J., Yin, J.*, Wu, J., Christakos, G.*, 2024. Accurate carbon storage estimation for the salt marsh ecosystem based on Bayesian maximum entropy approach – A case study for the Spartina alterniflora ecosystem. Journal of Environmental Management 354, 120278. https://doi.org/10.1016/j.jenvman.2024.120278
2. He, J., Li, M.*, 2024. Space–Time Variations in the Long-Range Dependence of Sea Surface Chlorophyll in the East China Sea and the South China Sea. Fractal and Fractional 8, 102. https://doi.org/10.3390/fractalfract8020102
3. He, J., Gao, Z., Jiang, Y., Li, M.*, 2024. Spatially Heterogeneity of Long-range Dependence and Self-similarity of Global Sea Surface Chlorophyll Concentration with their Environmental Factors Analysis. Frontiers in Physics 12. https://doi.org/10.3389/fphy.2024.1331660
4. Ma, X., He, J.*, He, S.*, Gu, Y., Cao, A., Li, P., Zhou, F., 2024. Comparison of Two Spatiotemporal Reconstruction Methods for Spaceborne Sea Surface Temperature Data at Multiple Temporal Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, 16289–16305. https://doi.org/10.1109/JSTARS.2024.3453508
5. Wang, Z., Zhang, W., Wu, T., Lu, N., He, J., Wang, J., Rao, J., Gu, Y., Cheng, X., Li, Y., Qi, Y., 2024. Time series models in prediction of severe fever with thrombocytopenia syndrome cases in Shandong province, China. Infectious Disease Modelling 9, 224–233. https://doi.org/10.1016/j.idm.2024.01.003
6. Chen, B., He, Z., Li, L., Chen, Q., He, J., Li, F., Chu, D., Cao, Z., Yang, X., 2024. Comprehensive economic losses assessment of storm surge disasters using open data: a case study of Zhoushan, China. Journal of Water and Climate Change. https://doi.org/10.2166/wcc.2024.731
2023年：
1. He, J.*, Du, Z., Xiao, X., 2023. Editorial: Spatiotemporal modeling and analysis in marine science. Frontiers in Marine Science 10. https://doi.org/10.3389/fmars.2023.1296334
2. Gao, Z., Jiang, Y., He, J.*, Wu, J., Christakos, G., 2023. Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products. Spatial Statistics 100741. https://doi.org/10.1016/j.spasta.2023.100741
3. Yan, X., Gao, Z., Jiang, Y., He, J.*, Yin, J., Wu, J., 2023. Application of Synthetic DINCAE−BME Spatiotemporal Interpolation Framework to Reconstruct Chlorophyll−a from Satellite Observations in the Arabian Sea. Journal of Marine Science and Engineering 11, 743. https://doi.org/10.3390/jmse11040743
4. Gao, Z., Jiang, Y., He, J.*, Wu, J., 2023. Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function. Science of The Total Environment 164750. https://doi.org/10.1016/j.scitotenv.2023.164750
5. Xiao, X., Huang, S., He, J.*, 2023. The impact of COVID-19 lockdown on the variation of sea surface chlorophyll-a in Bohai Sea, China. Regional Studies in Marine Science 103163. https://doi.org/10.1016/j.rsma.2023.103163
6. Wei, X.#, He, J.#, Yin, W.#, Soares Magalhaes, R.J.#, Wang, Y., Xu, Y., Wen, L., Sun, Y., Zhang, W.*, Sun, H.*, 2023. Spatiotemporal dynamics and environmental determinants of scrub typhus in Anhui Province, China, 2010–2020. Scientific Reports 13, 2131. https://doi.org/10.1038/s41598-023-29373-7
7. Jin, R., Ye, Z., Chen, S., Gu, J., He, J., Huang, L., Christakos, G., Agusti, S., Duarte, C.M., Wu, J.*, 2023. Accurate mapping of seaweed farms with high-resolution imagery in China. Geocarto International 0, 1–12. https://doi.org/10.1080/10106049.2023.2203114
8. Muñoz, R., Lara, C.*, Arteaga, J., Vásquez, S.I., Saldías, G.S., Flores, R.P., He, J., Broitman, B.R., Cazelles, B., 2023. Temporal Synchrony in Satellite-Derived Ocean Parameters in the Inner Sea of Chiloé, Northern Patagonia, Chile. Remote Sensing 15, 2182. https://doi.org/10.3390/rs15082182
9. Zhang, L., Ni, L., Wang, H., Zhang, Z., Wu, Y., Jia, R., He, J., Zhu, Z., Jin, H., Ren, X., Zhang, D.*, 2023. Higher ecological risks and lower bioremediation potentials identified for emerging OPEs than legacy PCBs in the Beibu Gulf, China. Environmental Research 116244. https://doi.org/10.1016/j.envres.2023.116244
10. Chen, B., He, J., He, Z., Li, L., Chen, Q., Li, F., Chu, D., Cao, Z., Yang, X., 2023. Potential impacts of storm surge-induced flooding based on refined exposure estimation: a case study in Zhoushan island, China. Geomatics, Natural Hazards and Risk 14, 2232080. https://doi.org/10.1080/19475705.2023.2232080
11. Huang, R., He, J., Wang, N., Christakos, G., Gu, J., Song, L., Luo, J., Agusti, S., Duarte, C.M., Wu, J., 2023. Carbon sequestration potential of transplanted mangroves and exotic saltmarsh plants in the sediments of subtropical wetlands. Science of The Total Environment 904, 166185. https://doi.org/10.1016/j.scitotenv.2023.166185
12. He, M., He, J., Zhou, Y., Sun, L., He, S.*, Liu, C., Gu, Y., Li, P., 2023. Coral reef applications of Landsat-8: geomorphic zonation and benthic habitat mapping of Xisha Islands, China. GIScience & Remote Sensing 60, 2261213. https://doi.org/10.1080/15481603.2023.2261213
2022年：
1. Jiang, Y., Gao, Z., He, J.*, Wu, J., Christakos, G., 2022. Application and Analysis of XCO2 Data from OCO Satellite Using a Synthetic DINEOF–BME Spatiotemporal Interpolation Framework. Remote Sensing 14, 4422. https://doi.org/10.3390/rs14174422
2. He, J. #, Wang, Y.#, Liu, P.#, Yin, W.#, Wei, X., Sun, H., Xu, Y., Li, S., Soares Magalhaes, R.J., Guo, Y.*, Zhang, W.*, 2022. Co-effects of global climatic dynamics and local climatic factors on scrub typhus in mainland China based on a nine-year time-frequency analysis. One Health 15, 100446. https://doi.org/10.1016/j.onehlt.2022.100446
3. He, J.#, Wang, Y#, Wei, X.#, Sun, H., Xu, Y., Yin, W., Wang, Y*, Zhang, W.*, 2023. Spatial-temporal dynamics and time series prediction of HFRS in mainland China: A long-term retrospective study. Journal of Medical Virology 95, e28269. https://doi.org/10.1002/jmv.28269
4. Sun, S.#, Chang, Q.#, He, J.#, Wei, X., Sun, H., Xu, Y., Soares Magalhaes, R.J., Guo, Y., Cui, Z.*, Zhang, W.*, 2023. The association between air pollutants, meteorological factors and tuberculosis cases in Beijing, China: A seven-year time series study. Environmental Research 216, 114581. https://doi.org/10.1016/j.envres.2022.114581
5. Liu, M., He, J., Huang, Y., Tang, T., Hu, J., Xiao, X.*, 2022. Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach. Water Research 219, 118591. https://doi.org/10.1016/j.watres.2022.118591
6. Liu, M., Hu, J., Huang, Y., He, J., Effiong, K., Tang, T., Huang, S., Perianen, Y.D., Wang, F., Li, M., Xiao, X.*, 2022. Probabilistic prediction of algal blooms from basic water quality parameters by Bayesian scale-mixture of skew-normal model. Environ. Res. Lett. https://doi.org/10.1088/1748-9326/acaf11
7. Liu, M., Huang, Y., Hu, J., He, J., Xiao, X.*, 2022. Algal community structure prediction by machine learning. Environmental Science and Ecotechnology 100233. https://doi.org/10.1016/j.ese.2022.100233
8. Deng, Z., Hu, S., Tang, L., Jiang, L., He, J., Shen, K., Xu, Y., Jiang, R., Li, T., Chen, C., Chen, B., Zhou, H., Zhang, D., Chen, J., Zhang, C.*, 2023. Carbazole and polyhalogenated carbazoles in the marine environment around the Zhoushan Archipelago: Distribution characteristics, environmental behavior, and sources. Journal of Hazardous Materials 442, 129999. https://doi.org/10.1016/j.jhazmat.2022.129999
9. Li, Q., Jin, R., Ye, Z., Gu, J., Dan, L., He, J., Christakos, G., Agusti, S., Duarte, C.M., Wu, J.*, 2022. Mapping seagrass meadows in coastal China using GEE. Geocarto International 1–16. https://doi.org/10.1080/10106049.2022.2070672
10. Chen G, Jin R, Ye Z, Li Q, Gu J*, Luo M, Luo Y, Christakos G, He J, Li D, Wang H, Song L, Wang Q, Wu J*. 2022. Spatio-temporal Mapping of Salt Marshes in the Intertidal Zone of China during 1985-2019. Journal of Remote Sensing.https://doi.org/10/gn7kqn
11. Huang R, Zhang C, Xu X, Jin R, Li D, Christakos G, Xiao X, He J, Agusti S, Duarte CM, Wu J*, 2022. Underestimated PAH accumulation potential of blue carbon vegetation: Evidence from sedimentary records of saltmarsh and mangrove in Yueqing Bay, China. Science of the total Environment. 817, 152887. https://doi.org/10.1016/j.scitotenv.2021.152887
12. Long, B., Liao, L., Jia, F., Luo, Y., He, J., Zhang, W., Shi, J.*, 2023. Oxalic acid enhances bioremediation of Cr(VI) contaminated soil using Penicillium oxalicum SL2. Chemosphere 311, 136973. https://doi.org/10.1016/j.chemosphere.2022.136973
13. Wang, Y, Wei, X., Xiao, X., Yin, W., He, J., Ren, Z., Li, Z., Yang, M., Tong, S., Guo, Y.*, Zhang, W.*, Wang, Y*, 2022. Climate and socio-economic factors drive the spatio-temporal dynamics of HFRS in Northeastern China. One Health 15, 100466. https://doi.org/10.1016/j.onehlt.2022.100466
14. Zhao, J., Zhang, Y., Ni, Y., He, J., Wang, J., Li, X., Guo, Y., Li, C., Zhang, W.*, Cui, Z.*, 2022. Effect of ambient temperature and other environmental factors on stroke emergency department visits in Beijing: A distributed lag non-linear model. Frontiers in Public Health 10. https://doi.org/10.3389/fpubh.2022.1034534
2021年：
1. He J, Christakos G*, Wu J, Li M, Leng J. 2021. Spatiotemporal BME Characterization and Mapping of Sea Surface Chlorophyll in Chesapeake Bay (USA) Using Auxiliary Sea Surface Temperature Data. Science of the total Environment. 794:148670. https://doi.org/10/gk2sh6
2. He J, Christakos G*, Cazelles B, Wu J, Leng J. 2021. Spatiotemporal Variation of the Association between Sea Surface Temperature and Chlorophyll in Global Ocean during 2002-2019 Based on a Novel WCA-BME Approach. International Journal of Applied Earth Observation and Geoinformation. 105:102620. https://doi.org/10.1016/j.jag.2021.102620
3. He J*. 2021. Application of generalized Cauchy process on modeling the long-range dependence and self-similarity of sea surface chlorophyll using 23 years remote sensing data. Frontiers in Physics. 9:750347 https://doi.org/10.3389/fphy.2021.750347
4. He J, Wei X, Yin W, Wang Y, Qian Q, Sun H, Xu Y, Soares Magalhaes R, Guo Y, Zhang W*. 2021. Forecasting Scrub Typhus cases in eight high-risk counties in China: evaluation of time-series model performance. Frontiers in Environmental Science. 9, 551. https://doi.org/10/gmxm8k
5. Xiao X, Xu C, Yu Y, He J*, Li M*, Cattani C. 2021. Fat Tail in the Phytoplankton Movement Patterns and Swimming Behavior: New Insights into the Prey-Predator Interactions. Fractal and Fractional. 5:49. https://doi.org/10/gksjvh
6. Gao Z., Jiang Y., He J., Wu J., Christkakos G*. 2021. Bayesian Maximum Entropy Interpolation of Sea Surface Temperature Data: A Comparative Assessment. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2021.2003905
7. Sun H*, He J, Chen Y, Zhao B. 2021. Space-time Sea Surface pCO2 Estimation in the North Atlantic based on CatBoost. Remote sensing. 13(14)：2805. https://doi.org/10.3390/rs13142805
8. Khan I, Haque U, Zhang W*, Zafar S, Wang Y, He J, Sun H, Lubinda J, Raham M. 2021. COVID-19 in China: Risk Factors and R0 Revisited. Acta Tropica. 213：105731. https://doi.org/10/ghk6mh
9. Gao Z, Jiang Y, He J, Wu J, Xu J, Christakos G*. 2021. An AHP-based regional COVID-19 vulnerability model and its application in China. Modeling Earth Systems and Environment. https://doi.org/10/gmcb57
2020年：
1. He J, Chen G, Jiang Y, Jin R, Shortridge A, Agusti S, He M, Wu J*, Duarte C, Christakos G. 2020. Comparative infection modeling and control of COVID-19 Transmission Patterns in China, South Korea, Italy and Iran. Science of the Total Environment. 747: 141447. https://doi.org/10.1016/j.scitotenv.2020.141447
2. He J, Chen Y, Wu J, Stow D, Christakos G*. 2020. Space-Time Chlorophyll-a Retrieval in Optically Complex Waters that Accounts for Remote Sensing and Modeling Uncertainties and Improves Remote Estimation Accuracy. Water Research. 171:1-17. https://doi.org/10.1016/j.watres.2019.115403
3. He M, He J, Christakos G*. 2020. Improved space–time sea surface salinity mapping in Western Pacific ocean using contingogram modeling. Stochastic Environmental Research and Risk Assessment, 34, 355-368. https://doi.org/10.1007/s00477-019-01764-1
4. Long B, Ye J, Ye Zhe, He J, Luo Y, Zhao Y, Shi J. 2020. Cr(VI) removal by Penicillium oxalicum SL2: Reduction with acidic metabolites and form transformation in the mycelium. Chemosphere. 253，126731. https://doi.org/10.1016/j.chemosphere.2020.126731
5. Xiao L, Christakos G*, He J, Lang Y. 2020. Space-Time Ground-Level PM2.5 Distribution at the Yangtze River Delta: A Comparison of Kriging, LUR, and Combined BME-LUR Techniques. Journal of Environmental Informatics. 36(1), 33-42. https://doi.org/10.3808/jei.202000438
2019年：
1. Xiao X, He J*, Yu Y, Cazelles B, Li M, Jiang Q, Xu C. 2019. Teleconnection between phytoplankton dynamics in north temperate lakes and global climatic oscillation by time-frequency analysis. Water Research. 154: 267-276. https://doi.org/10.1016/j.watres.2019.01.056
2. He J, Christakos G*, Wu J, Jankowski P, Langousis A, Wang Y, Yin W, Zhang W*. 2019. Probabilistic Logic Analysis of the Highly Heterogeneous Spatiotemporal HFRS Incidence Distribution in Heilongjiang Province (China) During 2005-2013. PLOS Neglected Tropical Diseases 13(1): e0007091. https://doi.org/10.1371/journal.pntd.0007091
3. He J, Yang Y*, Christakos G, Liu Y, Yang X. 2019. Assessment of Soil Heavy Metal Pollution Using Stochastic Site Indicators. Geoderma.337: 359-367. https://doi.org/10.1016/j.geoderma.2018.09.038 (2019年11月-2021年4月连续入选ESI 1%，高被引论文)
4. He J, Christakos G*, Jankowski P. 2019. Comparative Performance of the LUR, ANN and BME Techniques in the Multi-Scale Spatiotemporal Mapping of PM2.5 Concentrations in North China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(6): 1734-1747. https://doi.org/10.1109/JSTARS.2019.2913380
5. He J#, Wang Y#, Mu D#, Xu Z, Qian Q, Chen G, Wen L, Yin W, Li S, Zhang W*, Guo Y*. 2019. The Impacts of Climatic Factors and Vegetation on Hemorrhagic Fever with Renal Syndrome Transmission in China: A Study of 109 Counties. International Journal of Environmental Research and Public Health 16(18), 3434; https://doi.org/10.3390/ijerph16183434
6. Jiang Q., He J., Wu J, Hu X, Ye G*, Christakos G*. 2019. Assessing the Severe Eutrophication Status and Trend in the Coastal Waters of Zhejiang Province (China). Limnology and Oceanography 64:3-17. https://doi.org/10.1002/lno.11013
7. Jiang Q, He J, Wu J, He M, Bartley E, Ye G, Christakos G*. 2019. Space-Time Characterization and Risk Assessment of Nutrient Pollutant Concentrations in China's Near Seas. Journal of Geophysical Research: Ocean. 124: 4449-4463. https://doi.org/10.1029/2019JC015038
2018年：
1.He J, Christakos G*. 2018. Space-time PM2.5 mapping in the severe haze region of Jing-Jin-Ji (China) using a synthetic approach. Environmental Pollution. 240: 319-329. https://doi.org/10.1016/j.envpol.2018.04.092
2. He J, Christakos G*, Wu J, Cazelles B, Qian Q, Mu D, Wang Y, Yin W, Zhang W*.2018. Spatiotemporal variation of the association between climate dynamics and HFRS outbreaks in Eastearn China during 2005-2016 and its geographic determinants. PLOS Neglected Tropical Diseases. 12(6): e0006554. https://doi.org/10.1371/journal.pntd.0006554
3. He J#, He J#, Han Z#, Teng Y, Zhang W*, Yin W*. 2018. Environmental Determinants of Hemorrhagic Fever with Renal Syndrome in High-risk Counties in China: A Time Series Analysis (2002-2012). American Journal of Tropical Medicine & Hygiene. 99(5): 1262-1268 . https://doi.org/10.4269/ajtmh.18-0544
4. He J.& Kolovos A*. 2018. Bayesian maximum entropy approach and its application: A review. Stochastic Environmental Research and Risk Assessment, 32(4): 859-877. https://doi.org/10.1007/s00477-017-1419-7
5. Jiang Q, He J, Ye G, Christakos G*. 2018. Heavy metal contamination assessment of surface sediments of the East Zhejiang coastal area during 2012-2015. Ecotoxicology and Environmental Safety. 163: 444-455. https://doi.org/10.1016/j.ecoenv.2018.07.107
6. Yang Y, Christakos G*, Yang X, He J, 2018. Spatiotemporal characterization and mapping of PM2.5 concentrations in South of Jiangsu Province, China. Environmental Pollution. 234:794-803 . https://doi.org/10.1016/j.envpol.2017.11.077
7. Christakos G, Yang Y*, Wu J, Zhang C, Mei Y, and He J, 2018. Improved space-time mapping of PM2.5 Distribution using a domain transformation method. Ecological Indicators. 85:1273-1279. https://doi.org/10.1016/j.ecolind.2017.08.007
8. Ye B, Luo Y, He J, Sun L, Long B, Liu Q, Yuan X, Dai P, Shi J*. 2018. Investigation of lead bioimmobilization and transformation by Penicillium oxalicum SL2. Bioresource Technology. 264: 206-210. https://doi.org/10.1016/j.biortech.2018.05.066
2017年：
1. Christakos G.*, Zhang C. & He J*. 2017. A traveling epidemic model of space–time disease spread. Stochastic Environmental Research and Risk Assessment, 31(2): 305-314. https://doi.org/10.1007/s00477-016-1298-3
2. Xiao X, He J, Huang H, et al. 2017. A novel single-parameter approach for forecasting algal blooms. Water Research, 108: 222-231. https://doi.org/10.1016/j.watres.2016.10.076
3. He J, Christakos G*, Zhang W*, Wang Y. 2017. A Space-time Study of Hemorrhagic Fever with Renal Syndrome (HFRS) and its Climatic Associations in Heilongjiang Province, China. Frontiers in Applied Mathematics and Statistics, 3:16 . https://doi.org/10.3389/fams.2017.00016
4. 江曲图,何俊昱,王占山,叶观琼*,陈倩,肖璐. 基于LUR/BME的海岸带地区PM2.5时空特性研究. 中国环境科学,2017,37(02):424-431
2016年：
1. 何俊昱,肖溪*,黄皓旻,施积炎,徐新华. 四岭水库蓝绿藻细胞浓度的多时间尺度分析. 浙江大学学报(工学版),2016,50(03):491-498
2015年：
1. 肖溪，何俊昱，黄皓旻. 2015. 水质参数时间序列及藻类暴发预测软件V1.0. 软件著作
2014年：
1. Lv Y, Yang J*, He J, et al. Effects of Phosphate Fertilizers on Bioavailable Lead in Tea Garden Soil and Lead Absorption and Accumulation by Tea Plants. Applied Mechanics and Materials. Trans Tech Publications, 2014, 651: 231-235.
2. 孙丽娟，段德超，彭程，何俊昱，施积炎*. 硫对土壤重金属形态转化及植物有效性的影响研究进展. 应用生态学报，2014，25(7)：2141~2148
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