Leon Wong

1.2k total citations
34 papers, 676 citations indexed

About

Leon Wong is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Leon Wong has authored 34 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Cancer Research and 12 papers in Computational Theory and Mathematics. Recurrent topics in Leon Wong's work include Cancer-related molecular mechanisms research (15 papers), Bioinformatics and Genomic Networks (13 papers) and MicroRNA in disease regulation (13 papers). Leon Wong is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), Bioinformatics and Genomic Networks (13 papers) and MicroRNA in disease regulation (13 papers). Leon Wong collaborates with scholars based in China, United States and Hong Kong. Leon Wong's co-authors include Zhu‐Hong You, Lei Wang, Yu‐An Huang, Bo-Wei Zhao, Xiaorui Su, De-Shuang Huang, Zhan‐Heng Chen, Lun Hu, Boya Ji and Xin Gao and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and BMC Bioinformatics.

In The Last Decade

Leon Wong

32 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leon Wong China 16 574 232 208 54 32 34 676
Hai-Cheng Yi China 17 804 1.4× 362 1.6× 248 1.2× 105 1.9× 79 2.5× 39 1000
Zhaorong Li China 12 430 0.7× 171 0.7× 87 0.4× 42 0.8× 39 1.2× 17 603
Junru Jin China 14 552 1.0× 135 0.6× 71 0.3× 66 1.2× 61 1.9× 24 654
Zuping Zhang China 13 372 0.6× 239 1.0× 198 1.0× 45 0.8× 21 0.7× 22 493
Junlin Xu China 17 516 0.9× 187 0.8× 214 1.0× 77 1.4× 20 0.6× 53 743
Maha A. Thafar Saudi Arabia 12 465 0.8× 297 1.3× 57 0.3× 73 1.4× 87 2.7× 29 700
Yajie Meng China 14 524 0.9× 372 1.6× 124 0.6× 85 1.6× 45 1.4× 36 717
Boya Ji China 11 254 0.4× 98 0.4× 112 0.5× 61 1.1× 21 0.7× 29 372
Peiran Jiang China 9 369 0.6× 124 0.5× 50 0.2× 76 1.4× 40 1.3× 12 583
Ziqi Pan China 13 263 0.5× 111 0.5× 48 0.2× 47 0.9× 42 1.3× 28 502

Countries citing papers authored by Leon Wong

Since Specialization
Citations

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

Fields of papers citing papers by Leon Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leon Wong

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

All Works

20 of 20 papers shown
1.
You, Hua, et al.. (2025). scProGraph: A Cell Bagging Strategy for Cell Type Annotation With Gene Interaction-Aware Explainability. IEEE Transactions on Big Data. 12(1). 147–158.
2.
Wang, Lei, et al.. (2024). A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks. Applied Soft Computing. 157. 111523–111523. 10 indexed citations
3.
4.
Li, Kai, Wenxue Zhang, Weihan Zhang, et al.. (2024). MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers. Knowledge-Based Systems. 294. 111734–111734. 1 indexed citations
5.
6.
Zhao, Bo-Wei, Lei Wang, Pengwei Hu, et al.. (2023). Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Transactions on Emerging Topics in Computing. 12(1). 163–176. 70 indexed citations
7.
Wang, Lei, Leon Wong, Zhu‐Hong You, & De-Shuang Huang. (2023). AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association. IEEE Transactions on Big Data. 10(4). 320–329. 27 indexed citations
8.
Wang, Lei, Zhengwei Li, Zhu‐Hong You, De-Shuang Huang, & Leon Wong. (2023). MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. IEEE Journal of Biomedical and Health Informatics. 28(3). 1752–1761. 12 indexed citations
9.
Wang, Lei, Zhengwei Li, Zhu‐Hong You, De-Shuang Huang, & Leon Wong. (2023). GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. IEEE Journal of Biomedical and Health Informatics. 28(3). 1742–1751. 12 indexed citations
10.
11.
Wang, Lei, Leon Wong, Zhengwei Li, et al.. (2022). A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction. Briefings in Bioinformatics. 23(5). 35 indexed citations
12.
Wang, Lei, Leon Wong, Zhu‐Hong You, et al.. (2022). NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE Journal of Biomedical and Health Informatics. 26(10). 5075–5084. 26 indexed citations
13.
You, Zhu‐Hong, et al.. (2022). A weighted non-negative matrix factorization approach to predict potential associations between drug and disease. Journal of Translational Medicine. 20(1). 552–552. 8 indexed citations
14.
Ji, Boya, Zhu‐Hong You, Yi Wang, Zhengwei Li, & Leon Wong. (2021). DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding. iScience. 24(6). 102455–102455. 17 indexed citations
15.
Su, Xiaorui, Zhu‐Hong You, Lei Wang, et al.. (2021). SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Applied Soft Computing. 111. 107831–107831. 23 indexed citations
16.
Zhao, Bo-Wei, Zhu‐Hong You, Lun Hu, et al.. (2021). A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning. Cancers. 13(9). 2111–2111. 26 indexed citations
17.
Wong, Leon, et al.. (2020). MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network. ACS Omega. 5(28). 17022–17032. 11 indexed citations
18.
Wong, Leon, et al.. (2019). LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions. Journal of Cellular and Molecular Medicine. 24(1). 79–87. 25 indexed citations
19.
Chen, Zhan‐Heng, Zhu‐Hong You, Liping Li, et al.. (2019). Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform. International Journal of Molecular Sciences. 20(4). 930–930. 17 indexed citations
20.
Wong, Leon, Zhu‐Hong You, Zhong Ming, et al.. (2015). Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors. International Journal of Molecular Sciences. 17(1). 21–21. 46 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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