Yuquan Li 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	229	228
h 指数	6	6
i10 指数	4	4

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Chang-Yu HsiehZhejiang University在 zju.edu.cn 的电子邮件经过验证
Xiaorui WangLanzhou University; Macau University of Science and Technology在 lzu.edu.cn 的电子邮件经过验证
Pengyong LiXidian University在 xidian.edu.cn 的电子邮件经过验证
Shengyu Zhang（张胜誉）Tencent在 cse.cuhk.edu.hk 的电子邮件经过验证
Jiezhong QiuZhejiang University - Zhejiang Lab Hundred Talents Program Researcher在 zhejianglab.com 的电子邮件经过验证
Guangyong Chen(陈广勇)Zhejiang Lab, Zhejiang University 100 Young Professor在 zhejianglab.com 的电子邮件经过验证
Ben LiaoTencent在 tencent.com 的电子邮件经过验证
Dejun JiangZhejiang University在 zju.edu.cn 的电子邮件经过验证
Xianggen LiuSichuan University在 scu.edu.cn 的电子邮件经过验证
Tingjun HouQiushi Professor of Pharmaceutical Science, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
Qifeng BaiLanzhou University在 lzu.edu.cn 的电子邮件经过验证
Jiaxian YanUSTC在 mail.ustc.edu.cn 的电子邮件经过验证
Yafeng Dengbaidu在 baidu.com 的电子邮件经过验证
Yuwei WangShaanxi University of Chinese Medicine在 sntcm.edu.cn 的电子邮件经过验证
Xiaodan Yinmacau university of science and technology在 lzu.edu.cn 的电子邮件经过验证
Guotong XieIBM Research在 cn.ibm.com 的电子邮件经过验证
Shuoyan Tan在 lzu.edu.cn 的电子邮件经过验证
Jun WangIBM Research Lab & CMCC & PA & CAS & ETH Zurich, PhD@ Peking University在 pku.edu.cn 的电子邮件经过验证
Dong-Sheng Cao (曹东升)Professor of Xiangya School of Pharmaceutical Science Central South University China在 csu.edu.cn 的电子邮件经过验证
Jian WuMicrosoft Corp在 microsoft.com 的电子邮件经过验证

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Yuquan Li

Lanzhou University

在 lzu.edu.cn 的电子邮件经过验证 - 首页

molecular graph learning wechat: yvquanli


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions X Wang, Y Li, J Qiu, G Chen, H Liu, B Liao, CY Hsieh, X Yao Chemical Engineering Journal 420, 129845, 2021	90	2021
TrimNet: learning molecular representation from triplet messages for biomedicine P Li, Y Li, CY Hsieh, S Zhang, X Liu, H Liu, S Song, X Yao Briefings in Bioinformatics 22 (4), bbaa266, 2021	62	2021
An adaptive graph learning method for automated molecular interactions and properties predictions Y Li, CY Hsieh, R Lu, X Gong, X Wang, P Li, S Liu, Y Tian, D Jiang, J Yan, ... Nature Machine Intelligence 4 (7), 645–651, 2022	27	2022
Introducing block design in graph neural networks for molecular properties prediction Y Li, P Li, X Yang, CY Hsieh, S Zhang, X Wang, R Lu, H Liu, X Yao Chemical Engineering Journal 414, 128817, 2021	25	2021
Improving drug-target affinity prediction via feature fusion and knowledge distillation R Lu, J Wang, P Li, Y Li, S Tan, Y Pan, H Liu, P Gao, G Xie, X Yao Briefings in Bioinformatics 24 (3), bbad145, 2023	8	2023
Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning D Jiang, H Sun, J Wang, CY Hsieh, Y Li, Z Wu, D Cao, J Wu, T Hou Briefings in Bioinformatics 23 (2), bbab597, 2022	7	2022
Generic interpretable reaction condition predictions with open reaction condition datasets and unsupervised learning of reaction center X Wang, CY Hsieh, X Yin, J Wang, Y Li, Y Deng, D Jiang, Z Wu, H Du, ... Research 6, 0231, 2023	6	2023
Interface-aware molecular generative framework for protein-protein interaction modulators J Wang, J Mao, C Li, H Xiang, X Wang, S Wang, Z Wang, Y Chen, Y Li, ... bioRxiv, 2023.10. 10.557742, 2023	4	2023
CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small Molecules X Yin, X Wang, Y Li, J Wang, Y Wang, Y Deng, T Hou, H Liu, P Luo, X Yao Journal of Chemical Information and Modeling 63 (20), 6169-6176, 2023		2023
Versatile Framework for Drug–Target Interaction Prediction by Considering Domain-Specific Features S Liu, J Yu, N Ni, Z Wang, M Chen, Y Li, C Xu, Y Ding, J Zhang, X Yao, ... Journal of Chemical Information and Modeling, 2023		2023
Nightseg: Enhancing Nighttime Segmentation by Emphasizing Boundaries in Common Domain Z Chen, D Lin, Y Li, H Liu Available at SSRN 4743933, 0

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