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2026

Journal Article

Reciprocal development of depression and self-efficacy in adolescence: a longitudinal twin study

Nguyen, Thi L., Guo, Jiesi, Klatzka, Christoph H., Teuber, Ziwen, Dicke, Theresa, Wu, Jinran and Marsh, Herbert W. (2026). Reciprocal development of depression and self-efficacy in adolescence: a longitudinal twin study. Journal of Affective Disorders, 414 122355, 1-11. doi: 10.1016/j.jad.2026.122355

Reciprocal development of depression and self-efficacy in adolescence: a longitudinal twin study

2026

Journal Article

Associations of climate, soil resources, and species-level plant traits with ecosystem productivity across aridity gradients in China

Yu, Mengyao, Wang, Jingwen, Pu, Yu, Zhang, Yuhang, Sun, Meng, Wu, Jinran, Yang, Yishu, Li, Tong, Gao, Jie and Pandey, Rajiv (2026). Associations of climate, soil resources, and species-level plant traits with ecosystem productivity across aridity gradients in China. Ecological Informatics, 99 104082. doi: 10.1016/j.ecoinf.2026.104082

Associations of climate, soil resources, and species-level plant traits with ecosystem productivity across aridity gradients in China

2026

Journal Article

Examining the impact of COVID-19 on student mathematics achievement across countries: a multilevel machine learning analysis of PISA 2022

Qiu, Xuelan, Yuan, Jin, Wu, Jinran, Li, Weide, Guo, Jiesi and Leung, Frederick K. S. (2026). Examining the impact of COVID-19 on student mathematics achievement across countries: a multilevel machine learning analysis of PISA 2022. Educational Psychology, 1-18. doi: 10.1080/01443410.2026.2742894

Examining the impact of COVID-19 on student mathematics achievement across countries: a multilevel machine learning analysis of PISA 2022

2026

Journal Article

Mapping soil organic carbon research in conservation agriculture: a systematic review

Liu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Mapping soil organic carbon research in conservation agriculture: a systematic review. Farming System, 4 (4) 100241, 1-11. doi: 10.1016/j.farsys.2026.100241

Mapping soil organic carbon research in conservation agriculture: a systematic review

2026

Journal Article

Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis

Li, Tong, Xia, Anquan, Dalal, Ram C., Manning, Sean, Beniwal, Deeksha, Xu, Zhihong, Pandey, Rajiv, Cui, Lizhen, Chen, Songchao, Fu, Peng, Xia, Yushu, Wu, Jinran, Wang, Yanfen and Dang, Yash P. (2026). Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis. Soil and Tillage Research, 262 107236, 1-14. doi: 10.1016/j.still.2026.107236

Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis

2026

Journal Article

Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'"

Liu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'". Farming System, 4 (4) 100255, 1-4. doi: 10.1016/j.farsys.2026.100255

Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'"

2026

Journal Article

Mid-infrared spectroscopy for soil organic carbon estimation. Part II: evaluating preprocessing at global and national scales

Li, Tong, Beniwal, Deeksha, Dalal, Ram C., Manning, Sean, Fu, Peng, Xia, Anquan, Wu, Jinran, Liu, Qingyang, Filipović, Vilim, Tsiminis, Georgios and Dang, Yash P. (2026). Mid-infrared spectroscopy for soil organic carbon estimation. Part II: evaluating preprocessing at global and national scales. Soil and Tillage Research, 262 107237. doi: 10.1016/j.still.2026.107237

Mid-infrared spectroscopy for soil organic carbon estimation. Part II: evaluating preprocessing at global and national scales

2026

Journal Article

Eco-efficiency analysis of China’s eight comprehensive economic zones: evidence from a two-stage NSBM approach

Li, Shanru, Xu, Xu, Xu, Wensi, Qu, Haocheng, Xu, Xinrui, Zhang, Yixiang, Ni, Qing-He, Li, Tong, Wu, Jinran and Wang, You-Gan (2026). Eco-efficiency analysis of China’s eight comprehensive economic zones: evidence from a two-stage NSBM approach. Physics and Chemistry of the Earth, Parts A/B/C, 144 (Part 1) 104455, 1-18. doi: 10.1016/j.pce.2026.104455

Eco-efficiency analysis of China’s eight comprehensive economic zones: evidence from a two-stage NSBM approach

2026

Journal Article

Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging

Zou, Chaojun, Wang, Fang, Wu, Jinran, Wang, You-Gan and Zhu, Xinghui (2026). Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging. Chemometrics and Intelligent Laboratory Systems, 277 105813, 1-12. doi: 10.1016/j.chemolab.2026.105813

Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging

2026

Journal Article

Multi-indicator water-quality prediction in mining areas using a Feature-Tokenizer transformer with spatiotemporal features

Liu, Zihan, Sui, Xiang, Lyu, Xianzhou, An, Xiaobiao, Wu, Jinran, Lu, Yuchen and Zhang, Weijie (2026). Multi-indicator water-quality prediction in mining areas using a Feature-Tokenizer transformer with spatiotemporal features. Environmental Research, 306 (Part 2) 125210, 1-17. doi: 10.1016/j.envres.2026.125210

Multi-indicator water-quality prediction in mining areas using a Feature-Tokenizer transformer with spatiotemporal features

2026

Journal Article

RCNet: real–complex fusion for PolSAR land cover classification

Zhang, Shuaiying, Dong, Zhen, Lin, Huadong, Gao, Yucheng, Li, Tong, Wu, Jinran, Wang, Youjun, Fu, Peng, Fava, Francesco Pietro, An, Wentao and Camps-Valls, Gustau (2026). RCNet: real–complex fusion for PolSAR land cover classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1-17. doi: 10.1109/jstars.2026.3729201

RCNet: real–complex fusion for PolSAR land cover classification

2026

Journal Article

Foundation Models for Soil Organic Carbon: Evidence, Process Integration and Future Directions

Cheng, Yingxuan, Wu, Jinran, Tian, Xin, Li, Yayong, Fang, Jiaohui and Li, Tong (2026). Foundation Models for Soil Organic Carbon: Evidence, Process Integration and Future Directions. Ecological Frontiers, 47. doi: 10.3724/j.ecofro-20260220

Foundation Models for Soil Organic Carbon: Evidence, Process Integration and Future Directions

2026

Journal Article

Accurately modelling the resting-state functional connectivity with eigen-based connected-graph diffusion model

Ma, Jichao, Luo, Jiebin, Liu, Dandan, Wu, Jinran, Wang, Yanjiang and Li, Xi’an (2026). Accurately modelling the resting-state functional connectivity with eigen-based connected-graph diffusion model. Engineering Applications of Artificial Intelligence, 178 (Part 1) 115091, 1-11. doi: 10.1016/j.engappai.2026.115091

Accurately modelling the resting-state functional connectivity with eigen-based connected-graph diffusion model

2026

Journal Article

Beyond carbon measurement: turning agricultural carbon into credible climate action

Li, Tong, Tian, Xin, Dalal, Ram C., Kyriazopoulos, Apostolos, Sharififar, Amin, Xia, Anquan, Pandey, Rajiv, Fu, Peng, Bolan, Nanthi, Wu, Jinran, McLachlan, Geoffrey J., Choi, Woo-Jung, Xu, Zhihong, Wang, Yanfen, Fu, Bojie, Filipović, Vilim, Chapman, Scott, Dang, Yash P. and Camps-Valls, Gustau (2026). Beyond carbon measurement: turning agricultural carbon into credible climate action. The Innovation, 7 (9) 101531, 1-2. doi: 10.1016/j.xinn.2026.101531

Beyond carbon measurement: turning agricultural carbon into credible climate action

2026

Journal Article

Microseismic source localization and application based on the attention-based deep feedforward neural network model

Tian, Zhuangcai, Tian, Jiahao, Hua, Sen, Yu, Liyuan, Jing, Hongwen and Wu, Jinran (2026). Microseismic source localization and application based on the attention-based deep feedforward neural network model. Engineering Applications of Artificial Intelligence, 177 (Part 2) 114982, 114982. doi: 10.1016/j.engappai.2026.114982

Microseismic source localization and application based on the attention-based deep feedforward neural network model

2026

Journal Article

Forest origin reorganizes environmental control of soil microbial diversity across natural and planted forests

Zhang, Xing, Wu, Jinran, Wang, Jingwen, Li, Tong, Fan, Yuchuan, Liu, Weiguo and Gao, Jie (2026). Forest origin reorganizes environmental control of soil microbial diversity across natural and planted forests. Ecological Indicators, 189 (Mach. Learn. 45 1 2001) 115086, 1-10. doi: 10.1016/j.ecolind.2026.115086

Forest origin reorganizes environmental control of soil microbial diversity across natural and planted forests

2026

Journal Article

AI for science: progress, challenges, and perspectives

Xu, Yongjun, Shao, Zezhi, Liu, Xin, Li, Yuquan, An, Zhulin, Fu, Chenguang, Huang, Changping, Zhang, Lin, Gao, Feng, Li, Jian, Li, Yuyang, Yao, Fanglong, Xia, Anquan, Chen, Kaihua, Zheng, Xiaolong, Yang, Chuanguang, Huang, Libo, Dong, Fengliang, Yao, Shanliang, Zhang, Zhao, Wang, Jue, Wang, Qi, Wang, Yuanzhuo, Li, Haisheng, Xiao, Nachuan, Wang, Yuyang, Feng, Guoshuang, Lai, Puxiang, Song, Yuxuan ... Zhang, Jiabao (2026). AI for science: progress, challenges, and perspectives. The Innovation 101530, 101530. doi: 10.1016/j.xinn.2026.101530

AI for science: progress, challenges, and perspectives

2026

Journal Article

Mapping the evolving landscape of AI literacy research: an integrative review combining bibliometric analysis and thematic synthesis

Zheng, Hao, Han, Feifei, Yang, Hailiang, Xu, Jun, Wu, Yonghe, Wu, Jinran and Li, Tong (2026). Mapping the evolving landscape of AI literacy research: an integrative review combining bibliometric analysis and thematic synthesis. Behaviour and Information Technology, 1-35. doi: 10.1080/0144929x.2026.2711024

Mapping the evolving landscape of AI literacy research: an integrative review combining bibliometric analysis and thematic synthesis

2026

Journal Article

A spatial–temporal normalization framework for Fourier-enhanced physics-informed deep learning in large-scale wave propagation

Ma, Jichao, Liu, Dandan, Li, Xi’an, Li, Yayong and Wu, Jinran (2026). A spatial–temporal normalization framework for Fourier-enhanced physics-informed deep learning in large-scale wave propagation. Discover Computing, 29 (1) 477, 1-24. doi: 10.1007/s10791-026-10388-3

A spatial–temporal normalization framework for Fourier-enhanced physics-informed deep learning in large-scale wave propagation

2026

Conference Publication

Hierarchical cluster-based open-world graph active learning

Li, Yayong, Du, Zhengyi, Zhang, Hong, Wilton, Jonathan, Wu, Jinran, Liu, Zongli and Ye, Nan (2026). Hierarchical cluster-based open-world graph active learning. 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, VIC Australia, 20-24 July 2026. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3805712.3809744

Hierarchical cluster-based open-world graph active learning