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Intelligent and highly sensitive strain sensor based on indium tin oxide micromesh with a high crack density Journal article
Qiao, Yancong, Tang, Hao, Liu, Haidong, Jian, Jinming, Ji, Shourui, Han, Fei, Liu, Zhiyuan, Liu, Ying, Li, Yuanfang, Cui, Tianrui, Cai, Jingxuan, Gou, Guangyang, Zhou, Bingpu, Yang, Yi, Ren, Tian Ling, Zhou, Jianhua. Intelligent and highly sensitive strain sensor based on indium tin oxide micromesh with a high crack density[J]. Nanoscale, 2022, 14(11), 4234-4243.
Authors:  Qiao, Yancong;  Tang, Hao;  Liu, Haidong;  Jian, Jinming;  Ji, Shourui; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:5.8/6.1 | Submit date：2022/05/17
Intelligent and Highly Sensitive Strain Sensor Based on Indium Tin Oxide Micromesh with High Crack Density Journal article
Qiao, Yancong, Tang, Hao, Liu, Haidong, Jian, Jinming, Ji, Shourui, Han, Fei, Liu, Zhiyuan, Liu, Ying, Li, Yuanfang, Cui, Tianrui, Cai, Jingxuan, Gou, Guangyang, Zhou, Bingpu, Yang, Yi, Ren, Tian Ling, Zhou, Jianhua. Intelligent and Highly Sensitive Strain Sensor Based on Indium Tin Oxide Micromesh with High Crack Density[J]. Nanoscale, 2022, 14(11), 4234 - 4243.
Authors:  Qiao, Yancong;  Tang, Hao;  Liu, Haidong;  Jian, Jinming;  Ji, Shourui; et al.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:5.8/6.1 | Submit date：2022/07/27
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Conference paper
Li, Yawei, Zhang, Kai, Timofte, Radu, Van Gool, Luc, Kong, Fangyuan, Li, Mingxi, Liu, Songwei, Du, Zongcai, Liu, Ding, Zhou, Chenhui, Chen, Jingyi, Han, Qingrui, Li, Zheyuan, Liu, Yingqi, Chen, Xiangyu, Cai, Haoming, Qiao, Yu, Dong, Chao, Sun, Long, Pan, Jinshan, Zhu, Yi, Zong, Zhikai, Liu, Xiaoxiao, Hui, Zheng, Yang, Tao, Ren, Peiran, Xie, Xuansong, Hua, Xian Sheng, Wang, Yanbo, Ji, Xiaozhong, Lin, Chuming, Luo, Donghao, Tai, Ying, Wang, Chengjie, Zhang, Zhizhong, Xie, Yuan, Cheng, Shen, Luo, Ziwei, Yu, Lei, Wen, Zhihong, Wul, Qi, Li, Youwei, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Huang, Yuanfei, Jin, Meiguang, Huang, Hua, Liu, Jing, Zhang, Xinjian, Wang, Yan, Long, Lingshun, Kong, Lingshun, Li, Gen, Zhang, Yuanfan, Cao, Zuowei, Sun, Lei, Alexander, Panaetov, Wang, Yucong, Zhang, Shuhao, Zhang, Yuhao, Cai, Minjie, Wang, Li, Tian, Lu, Wang, Zheyuan, Ma, Hongbing, Liu, Jie, Chen, Chao, Cai, Yidong, Tang, Jie, Wu, Gangshan, Wang, Weiran, Huang, Shirui, Lu, Honglei, Liu, Huan, Wang, Keyan, Chen, Jun, Chen, Shi, Miao, Yuchun, Huang, Zimo, Zhang, Lefei, Ayazoglu, Mustafa, Xiong, Wei, Xiong, Chengyi, Wang, Fei, Li, Hao, Wen, Ruimian, Yang, Zhijing, Zou, Wenbin, Zheng, Weixin, Ye, Tian, Zhang, Yuncheng, Kong, Xiangzhen, Arora, Aditya, Zamir, Syed Waqas, Khan, Salman, Hayat, Munawar, Khan, Fahad Shahbaz, Gao, Dandan, Zhou, Dengwen, Ning, Qian, Tang, Jingzhu, Huang, Han, Wang, Yufei, Peng, Zhangheng, Li, Haobo, Guan, Wenxue, Gong, Shenghua, Li, Xin, Liu, Jun, Wang, Wanjun, Zhou, Dengwen, Zeng, Kun, Lin, Hanjiang, Chen, Xinyu, Fang, Jinsheng, Sinha, Abhishek Kumar, Moorthi, S. Manthira, Dhar, Debajyoti, Yang, Hao Hsiang, Huang, Zhi Kai, Chen, Wei Ting, Chang, Hua En, Kuo, Sy Yen, Tan, Wei, Chen, Hao, Narang, Pratik, Yinghua, Liu, Tianlin, Zhang, Xiaoming, Zhang, Meng, Dingxuan, Tian, Chunwei, Morshed, Mashrur M., Ahsan, Ahmad Omar. NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results[C], 2022, 1061-1101.
Authors:  Li, Yawei;  Zhang, Kai;  Timofte, Radu;  Van Gool, Luc;  Kong, Fangyuan; et al.
Favorite | TC[WOS]:22 TC[Scopus]:73 | Submit date：2023/01/30
Measurement  Runtime  Convolution  Conferences  Superresolution  Memory Management  Graphics Processing Units  
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356 Other
2016-01-01
Authors:  Klionsky, Daniel J.;  Abdelmohsen, Kotb;  Abe, Akihisa;  Abedin, Md Joynal;  Abeliovich, Hagai; et al.
Favorite | TC[WOS]:407 TC[Scopus]:24 | Submit date：2022/07/20
Gene–environment interactions: Peers’ alcohol use moderates genetic contribution to adolescent drinking behavior Journal article
Guang　Guo, Glen H,Elder, Tian ji Cai, Nathan Hamilton. Gene–environment interactions: Peers’ alcohol use moderates genetic contribution to adolescent drinking behavior[J]. SOCIAL SCIENCE RESEARCH, 2009, 38(1), 213-224.
Authors:  Guang　Guo;  Glen H,Elder;  Tian ji Cai;  Nathan Hamilton
Favorite | TC[WOS]:39 TC[Scopus]:48  IF:3.2/3.2 | Submit date：2019/08/07
Alcohol Use  Adolescents  Gene–environment  Interaction  Peerns  Frieds  Genetic Contribution