Weihe Zhong

1.0k total citations · 1 hit paper
17 papers, 655 citations indexed

About

Weihe Zhong is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Weihe Zhong has authored 17 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 10 papers in Materials Chemistry. Recurrent topics in Weihe Zhong's work include Computational Drug Discovery Methods (12 papers), Machine Learning in Materials Science (10 papers) and Chemical Synthesis and Analysis (2 papers). Weihe Zhong is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Machine Learning in Materials Science (10 papers) and Chemical Synthesis and Analysis (2 papers). Weihe Zhong collaborates with scholars based in China, Taiwan and Yemen. Weihe Zhong's co-authors include Calvin Yu‐Chian Chen, Ziduo Yang, Lu Zhao, Qiujie Lv, Guanxing Chen, Hualin Yang, Hsin‐Yi Chen, Leping Deng, Ning Tang and Shancheng Jiang 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

Weihe Zhong

17 papers receiving 641 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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Weihe Zhong China	12	485	447	224	72	40	17	655
Arthur Garon Austria	9	370 0.8×	280 0.6×	207 0.9×	65 0.9×	39 1.0×	14	594
Karim Abbasi Iran	15	446 0.9×	455 1.0×	180 0.8×	108 1.5×	24 0.6×	21	722
Ahmet Süreyya Rifaioğlu Türkiye	8	529 1.1×	672 1.5×	174 0.8×	39 0.5×	55 1.4×	15	896
Yang Qiu China	13	503 1.0×	509 1.1×	159 0.7×	113 1.6×	26 0.7×	34	804
Rishal Aggarwal India	6	498 1.0×	505 1.1×	274 1.2×	46 0.6×	58 1.4×	6	799
Jian Yin China	6	379 0.8×	426 1.0×	78 0.3×	64 0.9×	35 0.9×	16	600
Qiujie Lv China	14	275 0.6×	266 0.6×	148 0.7×	99 1.4×	34 0.8×	23	543
Ali Ezzat Singapore	6	521 1.1×	574 1.3×	130 0.6×	64 0.9×	28 0.7×	7	679
Ziduo Yang China	15	485 1.0×	460 1.0×	239 1.1×	121 1.7×	44 1.1×	26	809
Qichang Zhao China	10	445 0.9×	429 1.0×	150 0.7×	35 0.5×	29 0.7×	26	540

Countries citing papers authored by Weihe Zhong

Since Specialization

Citations

This map shows the geographic impact of Weihe Zhong'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 Weihe Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihe Zhong more than expected).

Fields of papers citing papers by Weihe Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weihe Zhong. 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 Weihe Zhong. The network helps show where Weihe Zhong may publish in the future.

Co-authorship network of co-authors of Weihe Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Weihe Zhong. A scholar is included among the top collaborators of Weihe Zhong 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 Weihe Zhong. Weihe Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

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

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

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

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

Chen, Guanxing, et al.. (2023). DSIL-DDI: A Domain-Invariant Substructure Interaction Learning for Generalizable Drug–Drug Interaction Prediction. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10552–10560. 25 indexed citations

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

Yang, Ziduo, Weihe Zhong, Qiujie Lv, & Calvin Yu‐Chian Chen. (2022). Learning size-adaptive molecular substructures for explainable drug–drug interaction prediction by substructure-aware graph neural network. Chemical Science. 13(29). 8693–8703. 70 indexed citations

Yang, Ziduo, Weihe Zhong, Lu Zhao, & Calvin Yu‐Chian Chen. (2022). MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction. Chemical Science. 13(3). 816–833. 205 indexed citations breakdown →

10.

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

11.

Lv, Qiujie, Guanxing Chen, Lu Zhao, Weihe Zhong, & Calvin Yu‐Chian Chen. (2021). Mol2Context-vec: learning molecular representation from context awareness for drug discovery. Briefings in Bioinformatics. 22(6). 42 indexed citations

12.

Yang, Ziduo, Weihe Zhong, Lu Zhao, & Calvin Yu‐Chian Chen. (2021). ML-DTI: Mutual Learning Mechanism for Interpretable Drug–Target Interaction Prediction. The Journal of Physical Chemistry Letters. 12(17). 4247–4261. 69 indexed citations

13.

Deng, Leping, et al.. (2020). Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases. Frontiers in Neurorobotics. 14. 617327–617327. 11 indexed citations

14.

Zhao, Lu, Weihe Zhong, Hsin‐Yi Chen, et al.. (2020). Insight into potent leads for alzheimer's disease by using several artificial intelligence algorithms. Biomedicine & Pharmacotherapy. 129. 110360–110360. 16 indexed citations

15.

Zhao, Tianyuan, et al.. (2020). On Translator Training in Industry-Specific Universities in China – A case study of 16 MTI programs. Lebende Sprachen. 65(1). 1–19. 1 indexed citations

16.

Zhong, Weihe, et al.. (2020). Professional interpreting translation education in the Chinese mainland. Babel Revue internationale de la traduction / International Journal of Translation / Revista Internacional de Traducción. 66(6). 883–901. 1 indexed citations

17.

Zhong, Weihe. (2015). Memory Training In Interpreting. 147–147. 7 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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