Vu Pham

1.5k total citations
25 papers, 223 citations indexed

About

Vu Pham is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Vu Pham has authored 25 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Cancer Research. Recurrent topics in Vu Pham's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and MicroRNA in disease regulation (4 papers). Vu Pham is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and MicroRNA in disease regulation (4 papers). Vu Pham collaborates with scholars based in Australia, United States and Vietnam. Vu Pham's co-authors include Thuc Duy Le, Jiuyong Li, Lin Liu, Laurent El Ghaoui, Shui Yu, Lei Cui, Keshav Sood, Buu Truong, Kanishka Bhaduri and Taosheng Xu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Vu Pham

21 papers receiving 213 citations

Peers

Vu Pham
Bruno G. Galuzzi Italy
Egil Ferkingstad Norway
Changzheng Liu China
Miew Keen Choong Australia
Xutao Wang China
Jurica Ševa Germany
Diyue Bu United States
Neha Sharma India
Md Momin Al Aziz Canada
Paweł Teisseyre Poland
Bruno G. Galuzzi Italy
Vu Pham
Citations per year, relative to Vu Pham Vu Pham (= 1×) peers Bruno G. Galuzzi

Countries citing papers authored by Vu Pham

Since Specialization
Citations

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

Fields of papers citing papers by Vu Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vu Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Vu Pham. A scholar is included among the top collaborators of Vu Pham 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 Vu Pham. Vu Pham 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.
Pham, Vu, Van‐Dat Doan, Teh C. Ho, & Van Cuong Nguyen. (2025). Solvothermal Synthesis of Functionalized UiO-66/Fe3O4@CNCs for Selective Removal of Oxytetracycline. ACS Omega. 10(37). 42791–42805.
2.
3.
Gambhir, Sapna, et al.. (2025). A deep learning approach to analyse stress by using voice and body posture. Soft Computing. 29(3). 1719–1745.
4.
Pham, Vu, et al.. (2022). Dynamic cancer drivers: a causal approach for cancer driver discovery based on bio-pathological trajectories. Briefings in Functional Genomics. 21(6). 455–465. 1 indexed citations
5.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2021). pDriver : a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinformatics. 37(19). 3285–3292. 9 indexed citations
6.
Pham, Vu, et al.. (2021). Automated predictive analytics tool for rainfall forecasting. Scientific Reports. 11(1). 17704–17704. 23 indexed citations
7.
Pham, Vu, et al.. (2020). A pseudotemporal causality approach to identifying miRNA–mRNA interactions during biological processes. Bioinformatics. 37(6). 807–814. 2 indexed citations
8.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2020). DriverGroup : a novel method for identifying driver gene groups. Bioinformatics. 36(Supplement_2). i583–i591. 5 indexed citations
9.
Pham, Vu, Xiaomei Li, Buu Truong, et al.. (2020). The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings in Bioinformatics. 22(3). 11 indexed citations
10.
Pillman, Katherine A., Andrew G. Bert, John Toubia, et al.. (2019). Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon–Intron Split Analysis (EISA). Nucleic Acids Research. 47(16). 8606–8619. 7 indexed citations
11.
Pham, Vu, Junpeng Zhang, Lin Liu, et al.. (2019). Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction. BMC Bioinformatics. 20(1). 143–143. 22 indexed citations
12.
Pham, Vu, Lin Liu, Cameron P. Bracken, et al.. (2019). CBNA: A control theory based method for identifying coding and non-coding cancer drivers. PLoS Computational Biology. 15(12). e1007538–e1007538. 20 indexed citations
13.
Zhang, Junpeng, Vu Pham, Lin Liu, et al.. (2019). Identifying miRNA synergism using multiple-intervention causal inference. BMC Bioinformatics. 20(S23). 613–613. 14 indexed citations
14.
Pham, Vu, et al.. (2018). Greening in sunflower butter cookies as a function of egg replacers and baking temperature. Journal of Food Science and Technology. 55(4). 1478–1488. 4 indexed citations
15.
Pham, Vu, Shui Yu, Keshav Sood, & Lei Cui. (2017). Privacy issues in social networks and analysis: a comprehensive survey. IET Networks. 7(2). 74–84. 22 indexed citations
16.
Nosouhi, Mohammad Reza, Vu Pham, Shui Yu, Yong Xiang, & Matthew Warren. (2017). A Hybrid Location Privacy Protection Scheme in Big Data Environment. RMIT Research Repository (RMIT University Library). 1–6. 10 indexed citations
17.
Pham, Vu & Laurent El Ghaoui. (2015). {Robust sketching for multiple square-root LASSO problems}. International Conference on Artificial Intelligence and Statistics. 753–761. 5 indexed citations
18.
Ghaoui, Laurent El, et al.. (2013). Understanding large text corpora via sparse machine learning. Statistical Analysis and Data Mining The ASA Data Science Journal. 6(3). 221–242. 17 indexed citations
19.
Nguyen, Vu, Vu Pham, & Vũ Đình Lãm. (2013). qEstimation: a process for estimating size and effort of software testing. 20–28. 12 indexed citations
20.
Pham, Vu, et al.. (2006). Become Visible: Let Your Voice Be Heard. eScholarship (California Digital Library). 4(1). 1–12. 1 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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