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Modulating the synergy of Pt single atoms and quantum dots on NiFe LDH for efficient and robust hydrogen evolution Journal article
Wu, Yuewen, Chen, Mingpeng, Liu, Di, Sun, Huachuan, Zhou, Tong, Na, Guohao, Qiu, Guoyang, Li, Dequan, Chen, Yun, Zhao, Jianhong, Zhang, Yumin, Zhang, Jin, Pan, Hui, Liu, Feng, Cui, Hao, Liu, Qingju. Modulating the synergy of Pt single atoms and quantum dots on NiFe LDH for efficient and robust hydrogen evolution[J]. Journal of Materials Science and Technology, 2025, 215, 111-120.
Authors:  Wu, Yuewen;  Chen, Mingpeng;  Liu, Di;  Sun, Huachuan;  Zhou, Tong; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:11.2/10.4 | Submit date:2025/01/22
Hydrogen Evolution Reaction  Ptsa/qd-nifev9 Ldh Nanostructure  Alkaline Water Electrolysis  Metal-support Interaction  Synergistic Effect  
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations Conference paper
Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Renhao Li, Di Yang, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong. CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations[C], 2025.
Authors:  Jiahao Zhao;  Jingwei Zhu;  Minghuan Tan;  Min Yang;  Renhao Li; et al.
Favorite |  | Submit date:2025/02/20
Engineering Ruthenium Species on Metal–organic Frameworks for Water Electrolysis at Industrial Current Densities Journal article
Li, Dequan, Chen, Mingpeng, Liu, Di, Shen, Congcong, Sun, Huachuan, Zhang, Yuxiao, He, Tianwei, Lu, Qingjie, Li, Bo, Zhou, Tong, Wang, Bo Xue, Wu, Yuewen, Na, Guohao, Chen, Yun, Zhao, Jianhong, Zhang, Yumin, Zhang, Jin, Liu, Feng, Cui, Hao, Liu, Qingju. Engineering Ruthenium Species on Metal–organic Frameworks for Water Electrolysis at Industrial Current Densities[J]. Advanced Energy Materials, 2024.
Authors:  Li, Dequan;  Chen, Mingpeng;  Liu, Di;  Shen, Congcong;  Sun, Huachuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:24.4/27.2 | Submit date:2024/12/26
Alkaline Hydrogen Evolution  Electrocatalyst  Industrial Current Density  Metal–organic Framework  Supported Metal  
Guiding induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma with ternary classification of predicted individual treatment effect Journal article
Zhiying Liang, Kit Ian Kou, Chao Luo, Shuqi Li, Yuliang Zhu, Wenjie Huang, Di Cao, Yifei Liu, Guangying Ruan, Shaobo Liang, Xi Chen, Guoyi Zhang, Lizhi Liu, Haojiang Li. Guiding induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma with ternary classification of predicted individual treatment effect[J]. Radiotherapy and Oncology, 2024, 201, 110571.
Authors:  Zhiying Liang;  Kit Ian Kou;  Chao Luo;  Shuqi Li;  Yuliang Zhu; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.9/5.4 | Submit date:2024/10/16
Nasopharyngeal Carcinoma  Induction Chemotherapy  Overall Survival  Treatment Decision-making  Predicted Individual Treatment Effect  
An eco-friendly kapok fiber-supported liquid microextraction using natural deep eutectic solvent as extractant for convenient biological samples preparations: A proof-of-concept study Journal article
Han, Wen Chao, Wang, Xin Ying, Wang, Gao Biao, Zhang, Han Juan, Yang, Pei, Wei, Jin Chao, Yang, Yu Ling, Yuan, Dong Dong, Chen, Di. An eco-friendly kapok fiber-supported liquid microextraction using natural deep eutectic solvent as extractant for convenient biological samples preparations: A proof-of-concept study[J]. Sustainable Chemistry and Pharmacy, 2024, 42, 101814.
Authors:  Han, Wen Chao;  Wang, Xin Ying;  Wang, Gao Biao;  Zhang, Han Juan;  Yang, Pei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.5/5.6 | Submit date:2024/11/05
Antidepressant  Bioanalysis  Green Analytical Chemistry  Hplc-uv  Kapok Fiber  Natural Deep Eutectic Solvent  Sample Preparation  Solid Supported Liquid-phase Microextraction  
Using AI-supported peer review to enhance feedback literacy: An investigation of students' revision of feedback on peers' essays Journal article
Guo, Kai, Zhang, Emily Di, Li, Danling, Yu, Shulin. Using AI-supported peer review to enhance feedback literacy: An investigation of students' revision of feedback on peers' essays[J]. British Journal of Educational Technology, 2024.
Authors:  Guo, Kai;  Zhang, Emily Di;  Li, Danling;  Yu, Shulin
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.7/7.2 | Submit date:2024/12/05
Peer Feedback  Artificial Intelligence  Chatbots  L2 Writing  Feedback Literacy  Evalumate  
Shining light on atomic vacancies in electrocatalysts for boosted water splitting Journal article
Chen, Mingpeng, Sun, Huachuan, Lu, Qingjie, Li, Dequan, Liu, Di, Zhou, Tong, Zi, Baoye, Zheng, Hongshun, Xiao, Bin, He, Tianwei, Zhao, Jianhong, Zhang, Yumin, Zhang, Jin, Liu, Feng, Cui, Hao, Pan, Hui, Liu, Qingju. Shining light on atomic vacancies in electrocatalysts for boosted water splitting[J]. Chemical Engineering Journal, 2024, 497.
Authors:  Chen, Mingpeng;  Sun, Huachuan;  Lu, Qingjie;  Li, Dequan;  Liu, Di; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:13.3/13.2 | Submit date:2024/12/26
Atomic vacancy  Characterization technique  Electrocatalytic water splitting  Mechanistic understanding  Synthetic method  
Shining light on atomic vacancies in electrocatalysts for boosted water splitting Review article
2024
Authors:  Chen, Mingpeng;  Sun, Huachuan;  Lu, Qingjie;  Li, Dequan;  Liu, Di; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:13.3/13.2 | Submit date:2024/09/03
Atomic Vacancy  Characterization Technique  Electrocatalytic Water Splitting  Mechanistic Understanding  Synthetic Method  
Value of radiological depth of invasion in non-pT4 Oral tongue squamous cell carcinoma: implication for preoperative MR T-staging Journal article
Huang, Wenjie, Zhang, Yu, Fu, Gui, Huang, Manqian, Luo, Guangfeng, Xie, Hui, Liang, Zhiying, Cao, Di, Li, Shuqi, Luo, Chao, Li, Haojiang, Gao, Jiexin, Nie, Rongcheng, Ruan, Guangying, Li, Hao, Liu, Lizhi. Value of radiological depth of invasion in non-pT4 Oral tongue squamous cell carcinoma: implication for preoperative MR T-staging[J]. European Radiology, 2024, 34, 6047-6059.
Authors:  Huang, Wenjie;  Zhang, Yu;  Fu, Gui;  Huang, Manqian;  Luo, Guangfeng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.7/5.2 | Submit date:2024/05/16
Depth Of Invasion  Magnetic Resonance Imaging  Squamous Cell Carcinoma  Tongue Cancer  Tumor Thickness  
A magnetic resonance imaging-based lymph node regression grading scheme for nasopharyngeal carcinoma after radiotherapy Journal article
Hui Yang, Liang, Zhiying, Liang, Jiahui, Cao, Di, Cao, Qin, Zhao, Feng, Zhang, Weijing, Kou, Kit Ian, Cui, Chunyan, Liu, Lizhi, Li, Haojiang, Peng, Zexue, Zhu, Siyu. A magnetic resonance imaging-based lymph node regression grading scheme for nasopharyngeal carcinoma after radiotherapy[J]. Quant Imaging Med Surg, 2024, 14(8), 5513-5525.
Authors:  Hui Yang;  Liang, Zhiying;  Liang, Jiahui;  Cao, Di;  Cao, Qin; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/3.2 | Submit date:2024/08/20
Nasopharyngeal Carcinoma (Npc)  Risk Stratification  Lymph Node Regression Grade (Lrg)  Epstein Barr Virus Dna (Ebv Dna)  Postradiotherapy