Ziduo Yang

1.4k total citations · 1 hit paper
26 papers, 809 citations indexed

About

Ziduo Yang is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Ziduo Yang has authored 26 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Materials Chemistry and 11 papers in Molecular Biology. Recurrent topics in Ziduo Yang's work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (13 papers) and Protein Structure and Dynamics (4 papers). Ziduo Yang is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (13 papers) and Protein Structure and Dynamics (4 papers). Ziduo Yang collaborates with scholars based in China, Taiwan and Singapore. Ziduo Yang's co-authors include Calvin Yu‐Chian Chen, Weihe Zhong, Lu Zhao, Qiujie Lv, Guanxing Chen, Lei Shen, Shuyu Wu, Zhaoshan Liu, Yifan Li and Chau Hung Lee and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Physical Chemistry Chemical Physics.

In The Last Decade

Ziduo Yang

24 papers receiving 799 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction

2022 205 citations Ziduo Yang, Weihe Zhong et al. Chemical Science profile →

Peers

Ziduo Yang

CTM

RNMI

Qiujie Lv China

Karim Abbasi Iran

Parvin Razzaghi Iran

Shuting Jin China

Shanzhuo Zhang China

Jannis Born Switzerland

Xiaorui Su China

Tianfan Fu United States

Qurrat Ul Ain New Zealand

Qiujie Lv China

Ziduo Yang

275 ×0.6

CTM

266 ×0.6

148 ×0.6

99 ×0.8

52 ×0.6

RNMI

Citations per year, relative to Ziduo Yang Ziduo Yang (= 1×) peers Qiujie Lv

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-authorship network of co-authors of Ziduo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ziduo Yang. A scholar is included among the top collaborators of Ziduo Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ziduo Yang. Ziduo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Jichao, et al.. (2025). MCTG: A Multimodal Self-Supervised Contrastive Learning Framework Based on CTG. 1–7.

Yang, Ziduo, et al.. (2025). Efficient equivariant model for machine learning interatomic potentials. npj Computational Materials. 11(1). 12 indexed citations

Zhang, Xuanlin, et al.. (2025). Accurate piezoelectric tensor prediction with equivariant attention tensor graph neural network. npj Computational Materials. 11(1). 3 indexed citations

Yang, Ziduo, Yi-Ming Zhao, Xian Wang, et al.. (2024). Scalable crystal structure relaxation using an iteration-free deep generative model with uncertainty quantification. Nature Communications. 15(1). 8148–8148. 14 indexed citations

Bai, Jieyun, et al.. (2024). A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system. Digital Health. 10. 599948646–599948646. 2 indexed citations

Liu, Zhaoshan, et al.. (2024). Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation. Neural Networks. 184. 107095–107095.

Lv, Qiujie, Guanxing Chen, Ziduo Yang, Weihe Zhong, & Calvin Yu‐Chian Chen. (2024). Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4849–4863. 13 indexed citations

Yang, Ziduo, et al.. (2024). 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. 46(12). 8191–8208. 16 indexed citations

Liu, Zhaoshan, Qiujie Lv, Ziduo Yang, et al.. (2023). Recent progress in transformer-based medical image analysis. Computers in Biology and Medicine. 164. 107268–107268. 69 indexed citations

10.

Lv, Qiujie, Jun Zhou, Ziduo Yang, Haohuai He, & Calvin Yu‐Chian Chen. (2023). 3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario. Neural Networks. 165. 94–105. 27 indexed citations

11.

Lv, Qiujie, Guanxing Chen, Haohuai He, et al.. (2023). TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining. Chemical Science. 14(39). 10684–10701. 28 indexed citations

12.

Yang, Ziduo, et al.. (2023). Equivariant Flexible Modeling of the Protein–Ligand Binding Pose with Geometric Deep Learning. Journal of Chemical Theory and Computation. 19(22). 8446–8459. 21 indexed citations

13.

Lv, Qiujie, Guanxing Chen, Ziduo Yang, Weihe Zhong, & Calvin Yu‐Chian Chen. (2023). Meta Learning With Graph Attention Networks for Low-Data Drug Discovery. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11218–11230. 59 indexed citations

14.

Zhong, Weihe, Ziduo Yang, & Calvin Yu‐Chian Chen. (2023). Retrosynthesis prediction using an end-to-end graph generative architecture for molecular graph editing. Nature Communications. 14(1). 3009–3009. 43 indexed citations

15.

Yang, Ziduo, et al.. (2023). Geometric Interaction Graph Neural Network for Predicting Protein–Ligand Binding Affinities from 3D Structures (GIGN). The Journal of Physical Chemistry Letters. 14(8). 2020–2033. 63 indexed citations

16.

Yang, Ziduo, Weihe Zhong, Qiujie Lv, & Calvin Yu‐Chian Chen. (2022). Multitask deep learning with dynamic task balancing for quantum mechanical properties prediction. Physical Chemistry Chemical Physics. 24(9). 5383–5393. 6 indexed citations

17.

Zhong, Weihe, Lu Zhao, Ziduo Yang, & Calvin Yu‐Chian Chen. (2021). Graph convolutional network approach to investigate potential selective Limk1 inhibitors. Journal of Molecular Graphics and Modelling. 107. 107965–107965. 8 indexed citations

18.

Zhao, Lu, et al.. (2021). CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images. Medical Physics. 48(11). 7127–7140. 19 indexed citations

19.

Yang, Ziduo, Lu Zhao, Shuyu Wu, & Calvin Yu‐Chian Chen. (2021). Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method. IEEE Journal of Biomedical and Health Informatics. 25(6). 1864–1872. 43 indexed citations

20.

Yang, Ziduo, et al.. (2017). ESTIMATION OF INTRAUTERINE PRESSURE FROM ELECTROHYSTEROGRAPHY USING HILBERT PHASE SLIPS AND STATISTICS METHOD. Journal of Mechanics in Medicine and Biology. 17(6). 1750089–1750089. 2 indexed citations

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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