Ziduo Yang

1.4k citations

26 papers · 809 · 1 hit paper · h-index 15

Impact in

Computational Theory and Mathematics top 1%
- Computational Drug Discovery Methods
Health Informatics

Papers in

Computational Theory and Mathematics 14
- Computational Drug Discovery Methods 14
Materials Chemistry 13
- Machine Learning in Materials Science 13

Co-authors: Calvin Yu‐Chian Chen (17 shared papers)Weihe Zhong (10 shared papers)Lu Zhao (6 shared papers)Qiujie Lv (12 shared papers)Guanxing Chen (4 shared papers)Lei Shen (6 shared papers)Shuyu Wu (2 shared papers)Chau Hung Lee (2 shared papers)
Journals: npj Computational Materials (3 papers)Chemical Science (3 papers)Medical Physics (2 papers)Nature Communications (2 papers)Neural Networks (2 papers)
Partner nations: China Taiwan Singapore

In The Last Decade

Ziduo Yang

24 papers receiving 799 citations

Ziduo Yang's Hit Papers

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MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction 2022 · 205 citations

Peers

Countries citing papers authored by Ziduo Yang

Since Specialization

Citations

This map shows the geographic impact of Ziduo Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ziduo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziduo Yang more than expected).

Fields of papers citing papers by Ziduo Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ziduo Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ziduo Yang. The network helps show where Ziduo Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ziduo Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ziduo Yang Line = papers co-authored together Ziduo Yang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction Chemical Science ·Ziduo Yang, Weihe Zhong, Lu Zhao, Calvin Yu‐Chian Chen Hit paper breakdown →	2022	205
2	Learning size-adaptive molecular substructures for explainable drug–drug interaction prediction by substructure-aware graph neural network Chemical Science ·Ziduo Yang, Weihe Zhong, Qiujie Lv, Calvin Yu‐Chian Chen	2022	70
3	Recent progress in transformer-based medical image analysis Computers in Biology and Medicine ·Zhaoshan Liu, Qiujie Lv, Ziduo Yang, Yifan Li, Chau Hung Lee, Lei Shen	2023	69
4	ML-DTI: Mutual Learning Mechanism for Interpretable Drug–Target Interaction Prediction The Journal of Physical Chemistry Letters ·Ziduo Yang, Weihe Zhong, Lu Zhao, Calvin Yu‐Chian Chen	2021	69
5	Geometric Interaction Graph Neural Network for Predicting Protein–Ligand Binding Affinities from 3D Structures (GIGN) The Journal of Physical Chemistry Letters ·Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Calvin Yu‐Chian Chen	2023	63
6	Meta Learning With Graph Attention Networks for Low-Data Drug Discovery IEEE Transactions on Neural Networks and Learning Systems ·Qiujie Lv, Guanxing Chen, Ziduo Yang, Weihe Zhong, Calvin Yu‐Chian Chen	2023	59
7	Retrosynthesis prediction using an end-to-end graph generative architecture for molecular graph editing Nature Communications ·Weihe Zhong, Ziduo Yang, Calvin Yu‐Chian Chen	2023	43
8	Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method IEEE Journal of Biomedical and Health Informatics ·Ziduo Yang, Lu Zhao, Shuyu Wu, Calvin Yu‐Chian Chen	2021	43
9	TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining Chemical Science ·Qiujie Lv, Guanxing Chen, Haohuai He, Ziduo Yang, Lu Zhao, Hsin‐Yi Chen, Calvin Yu‐Chian Chen	2023	28
10	3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario Neural Networks ·Qiujie Lv, Jun Zhou, Ziduo Yang, Haohuai He, Calvin Yu‐Chian Chen	2023	27
11	Equivariant Flexible Modeling of the Protein–Ligand Binding Pose with Geometric Deep Learning Journal of Chemical Theory and Computation ·Tiejun Dong, Ziduo Yang, Jun Zhou, Calvin Yu‐Chian Chen	2023	21
12	CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images Medical Physics ·Xinhua Xu, Yuhang Wen, Lu Zhao, Yi Zhang, Youjun Zhao, Zixuan Tang, Ziduo Yang, Calvin Yu‐Chian Chen	2021	19
13	Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Guanxing Chen, Calvin Yu‐Chian Chen	2024	16
14	Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification Nature Communications ·Ziduo Yang, Yi-Ming Zhao, Xian Wang, Xiaoqing Liu, Xiuying Zhang, Yifan Li, Qiujie Lv, Calvin Yu‐Chian Chen, Lei Shen	2024	14
15	Automatic segmentation of hippocampus in hippocampal sparing whole brain radiotherapy: A multitask edge‐aware learning Medical Physics ·Qingtao Qiu, Ziduo Yang, Shuyu Wu, Dongdong Qian, Jun Wei, Guanzhong Gong, Lizhen Wang, Yong Yin	2021	14
16	Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery IEEE Transactions on Neural Networks and Learning Systems ·Qiujie Lv, Guanxing Chen, Ziduo Yang, Weihe Zhong, Calvin Yu‐Chian Chen	2024	13
17	Efficient equivariant model for machine learning interatomic potentials npj Computational Materials ·Ziduo Yang, Xian Wang, Yifan Li, Qiujie Lv, Calvin Yu‐Chian Chen, Lei Shen	2025	12
18	Graph convolutional network approach to investigate potential selective Limk1 inhibitors Journal of Molecular Graphics and Modelling ·Weihe Zhong, Lu Zhao, Ziduo Yang, Calvin Yu‐Chian Chen	2021	8
19	Multitask deep learning with dynamic task balancing for quantum mechanical properties prediction Physical Chemistry Chemical Physics ·Ziduo Yang, Weihe Zhong, Qiujie Lv, Calvin Yu‐Chian Chen	2022	6
20	Accurate piezoelectric tensor prediction with equivariant attention tensor graph neural network npj Computational Materials ·Luqi Dong, Xuanlin Zhang, Ziduo Yang, Lei Shen, Yunhao Lu	2025	3

About Ziduo Yang

Ziduo Yang is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 26 papers that have together received 809 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (13 papers), Protein Structure and Dynamics (4 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (485 citations), Health Informatics (9 citations), Molecular Biology (460 citations), Materials Chemistry (239 citations) and Pharmacology (36 citations). Ziduo Yang has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Calvin Yu‐Chian Chen, Weihe Zhong, Lu Zhao, Qiujie Lv, Guanxing Chen, Lei Shen, Shuyu Wu, Chau Hung Lee, Zhaoshan Liu and Yifan Li. Their work appears in journals such as npj Computational Materials, Chemical Science, Medical Physics, Nature Communications and Neural Networks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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About Ziduo Yang

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