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Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands Journal article
Sheng Chen, Hao Cheng, Hongcai Zhang, Si Lv, Zhinong Wei, Yuyang Jin. Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands[J]. Applied Energy, 2025, 377(Part A).
Authors:  Sheng Chen;  Hao Cheng;  Hongcai Zhang;  Si Lv;  Zhinong Wei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.1/10.4 | Submit date：2024/09/20
Optimizing a Monitoring Scheme for CO2 Geological Sequestration: An Environmentally Sustainable and Cost-Efficient Approach Book chapter
出自: Lecture Notes on Data Engineering and Communications Technologies, Singapore:Springer Science and Business Media Deutschland GmbH, 2024, 页码:524-539
Authors:  Lv, Chengwei;  Wei, Shansen;  Wang, Hong;  Xu, Yukuan
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/09/03
Carbon Capture And Storage  Carbon Dioxide  Decision Making  Emission Control  
CoSe(OH)/Bi2O2Se heterostructure composites synthesized by one-step method as an anode material of high-performance alkaline supercapattery Journal article
Lv, Huifang, Rao, Haibo, Zhou, Zhiyu, Zhao, Yang, Wei, Hualiang, Chen, Zexiang, Zhang, Xiao, Dai, Yunlu, Gong, Yanli, Wang, Yan. CoSe(OH)/Bi2O2Se heterostructure composites synthesized by one-step method as an anode material of high-performance alkaline supercapattery[J]. Journal of Alloys and Compounds, 2024, 984, 173991.
Authors:  Lv, Huifang;  Rao, Haibo;  Zhou, Zhiyu;  Zhao, Yang;  Wei, Hualiang; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.8/5.3 | Submit date：2024/05/16
Anode  Aqueous Alkaline Supercapattery  Bi2o2se  Cobalt Selenium Hydroxide  Heterostructure Composites  
Local-reconstruction enables cobalt phosphide array with bifunctional hydrogen evolution and hydrazine oxidation Journal article
Wei, Xiaotong, Zhang, Shucong, Lv, Xingshuai, Dai, Shuixing, Wang, Huanlei, Huang, Minghua. Local-reconstruction enables cobalt phosphide array with bifunctional hydrogen evolution and hydrazine oxidation[J]. Applied Catalysis B: Environmental, 2024, 345, 123661.
Authors:  Wei, Xiaotong;  Zhang, Shucong;  Lv, Xingshuai;  Dai, Shuixing;  Wang, Huanlei; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:20.2/18.9 | Submit date：2024/05/16
Bifunctionality  Hydrazine Electro-oxidation  Hydrogen Evolution  Local Reconstruction  Transition Metal Phosphides  
Fast Energy Storage of SnS2 Anode Nanoconfined in Hollow Porous Carbon Nanofibers for Lithium-Ion Batteries Journal article
Liang, Fanghua, Dong, Huilong, Dai, Jiamu, He, Honggang, Zhang, Wei, Chen, Shi, Lv, Dong, Liu, Hui, Kim, Ick Soo, Lai, Yuekun, Tang, Yuxin, Ge, Mingzheng. Fast Energy Storage of SnS2 Anode Nanoconfined in Hollow Porous Carbon Nanofibers for Lithium-Ion Batteries[J]. Advanced Science, 2024, 11(4), 2306711.
Authors:  Liang, Fanghua;  Dong, Huilong;  Dai, Jiamu;  He, Honggang;  Zhang, Wei; et al.
Favorite | TC[WOS]:23 TC[Scopus]:18  IF:14.3/16.3 | Submit date：2024/02/22
Charge Carrier Transfer  Hollow Porous Carbon Nanofibers  Lithium-ion Batteries  Sns2 Nanosheets  Ultrahigh Charging Rates  
Deep learning predicts cervical lymph node metastasis in clinically node-negative papillary thyroid carcinoma Journal article
Zhou, Li Qiang, Zeng, Shu E., Xu, Jian Wei, Lv, Wen Zhi, Mei, Dong, Tu, Jia Jun, Jiang, Fan, Cui, Xin Wu, Dietrich, Christoph F.. Deep learning predicts cervical lymph node metastasis in clinically node-negative papillary thyroid carcinoma[J]. Insights into Imaging, 2023, 14(1), 222.
Authors:  Zhou, Li Qiang;  Zeng, Shu E.;  Xu, Jian Wei;  Lv, Wen Zhi;  Mei, Dong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:4.1/5.9 | Submit date：2024/01/02
Deep Learning  Ln Metastasis Prediction  Papillary Thyroid Cancer  Us Diagnosis  
Three-Dimensional Dual-Site Catalysts for Industrial Ammonia Synthesis at Dramatically Decreased Temperatures and Pressures Journal article
Lv, Xingshuai, Liu, Junxian, Kou, Liangzhi, Ng, Kar Wei, Wang, Shuangpeng, Frauenheim, Thomas, Pan, Hui. Three-Dimensional Dual-Site Catalysts for Industrial Ammonia Synthesis at Dramatically Decreased Temperatures and Pressures[J]. ACS Catalysis, 2023, 13(20), 13561-13568.
Authors:  Lv, Xingshuai;  Liu, Junxian;  Kou, Liangzhi;  Ng, Kar Wei;  Wang, Shuangpeng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:11.3/12.6 | Submit date：2024/01/10
Ammonia Synthesis  Diporphyrins  Microkinetic Modeling  Milder Conditions  Scaling Relations  
Advances in the Application of Perovskite Materials Journal article
Lixiu Zhang, Luyao Mei, Kaiyang Wang, Yinhua Lv, Shuai Zhang, Yaxiao Lian, Xiaoke Liu, Zhiwei Ma, Guanjun Xiao, Qiang Liu, Shuaibo Zhai, Shengli Zhang, Gengling Liu, Ligang Yuan, Bingbing Guo, Ziming Chen, Keyu Wei, Aqiang Liu, Shizhong Yue, Guangda Niu, Xiyan Pan, Jie Sun, Yong Hua, Wu-Qiang Wu, Dawei Di, Baodan Zhao, Jianjun Tian, Zhijie Wang, YangYang, Liang Chu, Mingjian Yuan, Haibo Zeng, Hin-Lap Yip, Keyou Yan, Wentao Xu, Lu Zhu, Wenhua Zhang, Guichuan Xing, Feng Gao, Liming Ding. Advances in the Application of Perovskite Materials[J]. Nano-Micro Letters, 2023, 15(1), 177.
Authors:  Lixiu Zhang;  Luyao Mei;  Kaiyang Wang;  Yinhua Lv;  Shuai Zhang; et al.
Favorite | TC[WOS]:122 TC[Scopus]:127  IF:31.6/26.0 | Submit date：2023/08/03
Neuromorphic Devices  Optoelectronic Devices  Perovskites  Pressure-induced Emission  
Keyframe image processing of semantic 3D point clouds based on deep learning Journal article
Wang,Junxian, Lv,Wei, Wang,Zhouya, Zhang,Xiaolong, Jiang,Meixuan, Gao,Junhan, Chen,Shangwen. Keyframe image processing of semantic 3D point clouds based on deep learning[J]. Frontiers in Neurorobotics, 2023, 16, 988024.
Authors:  Wang,Junxian;  Lv,Wei;  Wang,Zhouya;  Zhang,Xiaolong;  Jiang,Meixuan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.6/3.1 | Submit date：2023/08/03
3d Point Cloud  Deep Learning  Image Processing  Keyframe  U-net  
Energy benchmark for evaluating the energy efficiency of selective laser melting processes Journal article
Luoke Hu, Yanan Wang, Lianjie Shu, Wei Cai, Jingxiang Lv, Kangkang Xu. Energy benchmark for evaluating the energy efficiency of selective laser melting processes[J]. APPLIED THERMAL ENGINEERING, 2022, 221, 119870.
Authors:  Luoke Hu;  Yanan Wang;  Lianjie Shu;  Wei Cai;  Jingxiang Lv; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:6.1/5.8 | Submit date：2022/12/30
Energy Benchmark  Additive Manufacturing  Selective Laser Melting  Rating System  Energy Efficiency