Thuc Duy Le

3.7k citations
91 papers · 2.3k indexed · 1 hit paper · h-index 23
Topics
MicroRNA in disease regulation (25 papers)Cancer-related molecular mechanisms research (24 papers)RNA Research and Splicing (22 papers)

In The Last Decade

Thuc Duy Le

84 papers receiving 2.2k citations

Hit Papers

GraphDTA: predicting drug–target binding affinity with gr...20202026202220242020200400600

Peers

Thuc Duy Le
Comparison fields: 5 of 152
  • Molecular Biology 1.4k
  • Cancer Research 671
  • Computational Theory and Mathematics 624
  • Artificial Intelligence 383
  • Materials Chemistry 203
Replace Paolo Magni with:
Paolo Magni Italy
Kwong‐Sak Leung Hong Kong
Jung-Hsien Chiang Taiwan
Ola Spjuth Sweden
Giorgio Valentini Italy
Zeynep H. Gümüş United States
Peter Shaw United States
Kevin Y. Yip Hong Kong
Thuc Duy Le relative to Paolo Magni Italy Paolo Magni's profile →
Citations per field
00.5×4.0×
Paolo Magni · 1×
Citations per year

Countries citing papers authored by Thuc Duy Le

Since Specialization
Citations

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

Fields of papers citing papers by Thuc Duy Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thuc Duy Le. 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 Thuc Duy Le. The network helps show where Thuc Duy Le may publish in the future.

Co-authorship network of co-authors of Thuc Duy Le

This figure shows the co-authorship network connecting the top 25 collaborators of Thuc Duy Le. A scholar is included among the top collaborators of Thuc Duy Le 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 Thuc Duy Le. Thuc Duy Le 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
#WorkIndexed citations
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GraphDTA: predicting drug–target binding affinity with graph neural networksbreakdown →
629
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15 21
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Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery.
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About Thuc Duy Le

Thuc Duy Le is a scholar working on Cancer Research, Statistics and Probability and Artificial Intelligence, having authored 91 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (24 papers) and RNA Research and Splicing (22 papers). The work is most often cited by research in Cancer Research (671 citations), Computational Theory and Mathematics (624 citations) and Molecular Biology (1.4k citations). Thuc Duy Le has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jiuyong Li, Lin Liu, Thin Nguyen, Svetha Venkatesh, Thomas P. Quinn, Tri Minh Nguyen, Hang Le, Junpeng Zhang, Taosheng Xu and Bingyu Sun. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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