2022：
（1）Zhang X, Cao QV, Qu Y, Zhang J. 2022. Deriving tree growth models from stand models based on the selfthinning rule of Chinese fir plantations.iForest, 15: 1-7.
2021:
(1) Jiang Y, Zhang X*, Chhin S, Zhang J. 2021. A bimodal pattern and age-related growth of intra-annual wood cell development of Chinese fir in Subtropical China. Frontiers in Plant Science, 12: 757438.
(2) Wang Z, Zhang X*, Chhin S, Zhang J, Duan A. 2021. Disentangling the effects of stand and climatic variables on forest productivity of Chinese fir plantations in subtropical China using a random forest algorithm. Agricultural and Forest Meteorology, (304–305)108412.
(3) Liu X, Duan G, Chhin S, Lei X, Wang D, Zhang X*. 2021. Evaluation of potential versus realized site productivity of Larix principisrupprechtii plantations across northern China. Forest Ecology and Management, 479: 118608.
(4) He H, Zhu G, Ma W, Liu F, Zhang X*. 2021. Additivity of stand basal area predictions in canopy stratifications for natural oak forests. Forest Ecology and Management, 492: 119246.
(5) Lu L, Chhin S, Zhang J, Zhang X*. 2021. Modelling tree height-diameter allometry of Chinese fir in relation to stand and climate variables through Bayesian model averaging approach. Silva Fennica, 55(2): 10415.
(6) 王震, 鲁乐乐, 张雄清*, 张建国, 姜丽, 段爱国. 2021. 基于贝叶斯模型平均法构建杉木林分蓄积量生长模型.林业科学研究, 34(3): 64-71.
(7) 王翰琛, 张雄清*, 张建国, 屈彦成, 姜丽. 2021. 杉木人工林不同密度间伐林分生长优势的变化规律分析.林业科学研究, 34(5): 32-38.
2020:
(1) Zhang X, Wang H, Chhin S, Zhang J*. 2020. Effects of competition, age and climate on tree slenderness of Chinese fir plantations in southern China. Forest Ecology and Management, 458: 117815.
(2) Zhang X, Wang Z, Chhin S, Wang H, Duan A, Zhang J*. 2020. Relative contributions of competition, stand structure, age, and climate factors to tree mortality of Chinese fir plantations: long-term spacing trials in southern China. Forest Ecology and Management, 465: 118103.
(3) Zhang X, Cao QV, Wang H, Duan A, Zhang J*. 2020. Projecting stand survival and basal area based on a self-thinning model for Chinese fir plantations. Forest Science. 66(3): 361-370.

2019:
(1)Zhu G, Hu S, Chhin S, Zhang X*, He P. 2019. Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China. Forest Ecology and Management, 446: 143-150.
(2)Wang M, Liu Q, Fu L,Wang G, Zhang X*. 2019. Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach. Remote Sensing,11,1050.
(3) Lu L, Wang H, Chhin S, Duan A, Zhang J, Zhang X*. 2019. A Bayesian Model Averaging approach for modelling tree mortality in relation to site, competition and climatic factors for Chinese fir plantations. Forest Ecology and Management, 440: 169-177.
(4) Zhang X, Chhin S, Fu L, Lu L, Duan A, Zhang J*. 2019. Climate-sensitive tree height–diameter allometry for Chinese fir in southern China. Forestry, 92: 167-176.
(5) Zhang X, Cao Q, Lu L, Wang H, Duan A, Zhang J. 2019. Use of Modified Reineke's Stand Density Index in Predicting Growth and Survival of Chinese Fir Plantations. Forest Science, 65(6): 776-783.

2018:
(1)Zhang X, Lu Lele, Cao Q, Duan A, Zhang J*. 2018.Climate-sensitive self-thinning trajectories of Chinese fir plantations in south China. Canadian Journal of Forest Research,48: 1388-1397.(SCI)

2017:
(1)Zhang X, Cao Q, Duan A, Zhang J*. 2017.Modeling tree mortality in relation to climate, initial planting density, and competition in Chinese fir plantations using a Bayesian logistic
multilevel method. Canadian Journal of Forest Research, 1278-1285.(SCI)
(2)Zhang X, Cao Q, Xiang C, Duan A, Zhang J*. 2017.Predicting total and component biomass of Chinese fir using a forecast combination method. IForest, 10: 687-691.(SCI)

2016:
(1) Zhang X, Cao Q, Duan A, Zhang J*. 2016. Self-thinning trajectories of Chinese Fir plantations in southern China. Forest Science, 62:594-599.(SCI)

2015:
(1) Zhang X, Lei Y*, Liu X. 2015. Modeling stand mortality using Poisson mixture models with mixed- effects. IForest,8: 333-338.(SCI)
(2) Zhang X, Zhang J*, Duan A. 2015. A hierarchical Bayesian model to predict self-thinning line for Chinese fir in southern China.PLoS ONE,10(10): e0139788. doi:10.1371/journal.pone.0139788. (SCI)
(3) 张雄清, 张建国*, 段爱国. 2015. 杉木人工林林分断面积生长模型的贝叶斯法估计.林业科学研究, 28(4): 538-542.
(4) 曲佳，张雄清*. 2015. 国内外树干干形的研究进展. 林业实用技术，511（7）：3-7.

2014:
(1) Zhang X, Lei Y, Ma Z, et al. 2014. Insect-induced tree mortality of boreal forests in eastern Canada under a changing climate. Ecology and Evolution, 4(12): 2384-2394.(SCI)
(2) Zhang X, Duan A, Dong L, Cao Q, Zhang J. 2014. The application of Bayesian Model Averaging in compatibility of stand basal area for even-aged plantations in southern China. Forest Science,60(4):645–651.(SCI)
(3) Zhang X, Lei Y, Pang Y, et al. 2014. Tree mortality in response to climate change induced drought across Beijing, China. Climatic Change,124: 179-190.(SCI)
(4) Zhang X, Duan A, Zhang J, Xiang C. 2014. Estimating Tree Height-Diameter Models with the Bayesian Method. The Scientific World Journal,683691.(SCI)
(5) 张雄清, 张建国, 段爱国. 2014. 基于贝叶斯法杉木人工林树高生长模型的研究.林业科学, 50(3): 69-75.
(6) 张雄清, 张建国, 段爱国. 2014. 基于单木水平和林分水平杉木兼容性林分蓄积量模型的研究.林业科学, 50
(1): 82-87.

2013及以前：
(1) Zhang X, Duan A, Zhang J. 2013. Tree Biomass Estimation of Chinese fir (Cunninghamia lanceolata) Based on Bayesian Method. PLoS ONE, 2013, 8(11): e79868.(SCI)
(2) Zhang X, Lei Y, Liu F, et al. 2012. Predicting tree recruitment with negative-binomial mixture models. Forest Ecology and Management, 270: 209-215.(SCI)
(3) Zhang X, Lei, Y, Cao, QV, et al. 2011. Improving tree survival prediction with forecast combination and disaggregation. Canadian Journal of Forest Research,41: 1928-1935.(SCI)
(4) Zhang X, Lei, Y, Cao, QV. 2010. Compatibility of stand basal area predictions based on forecast combination. Forest Science, 56(6): 552-557.(SCI)
(5) Zhang X, Lei, Y. 2010. A linkage among whole-stand model, individual tree model and diameter- distribution model. Journal of Forest Science, 56(12): 600-608.(EI)
(6) 张雄清, 雷渊才, 段爱国, 等. 2013. 林分动态变化模型研究进展. 世界林业研究, (26) : 63-69.
(7) 张雄清, 雷渊才, 雷相东.2012. 基于计数模型方法的林分枯损研究. 林业科学, 48(8): 54-61.
(8) 张雄清, 雷渊才, 陈新美. 2011. 林分断面积组合预测模型权重确定的比较研究. 林业科学, 47(7): 36-41.
(9) 张雄清, 雷渊才, 陈新美, 等. 2010. 组合预测法在林分断面积生长预估中的应用. 北京林业大学学报, 32 (4): 6-11.
(10) 张雄清, 雷渊才.2010. 基于定期调查数据的全林分年生长预测模型研究. 中南林业科技大学学报, 30(40): 69-74.
(11) 张雄清, 雷渊才. 2009. 可变生长率法和固定生长率法在单木年生长预测中的比较研究. 林业科学研究, 22(6): 824-828.

(12) 张雄清, 雷渊才. 2009. 北京山区天然栎林直径分布的研究. 西北林学院学报, 24(6): 1-5.

软件著作权6个:
林分动态模型模拟系统（2012SR060479）
杉木林分动态模型系统（2016SR274742）
杉木单木枯损率模型系统（2018SR299421）
杉木单木枯损率不确定性模型模拟系统（2018SR606726）
杉木不确定性林分枯损模型系统（2018SR889497）
基于贝叶斯理论的杉木生长与枯损模型系统（2021SR0447627）