Binh P. Nguyen

2.9k citations
118 papers · 1.8k indexed · h-index 24
Topics
Computational Drug Discovery Methods (12 papers)Machine Learning in Bioinformatics (10 papers)Imbalanced Data Classification Techniques (9 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Binh P. Nguyen

108 papers receiving 1.7k citations

Peers

Binh P. Nguyen
Comparison fields: 5 of 162
  • Artificial Intelligence 418
  • Molecular Biology 375
  • Computer Vision and Pattern Recognition 310
  • Radiology, Nuclear Medicine and Imaging 207
  • Health Information Management 189
Replace Tarek Abd El‐Hafeez with:
Tarek Abd El‐Hafeez Egypt
Yonghong Peng United Kingdom
Sabri Boughorbel Qatar
Mohd Shafry Mohd Rahim Malaysia
Oh-Young Song South Korea
Hoshang Kolivand United Kingdom
Hazem M. El‐Bakry Egypt
Adi Alhudhaif Saudi Arabia
Mostafa A. Elhosseini Egypt
Dac‐Nhuong Le Vietnam
Binh P. Nguyen relative to Tarek Abd El‐Hafeez Egypt Tarek Abd El‐Hafeez's profile →
Citations per field
00.5×10×20×30×40×49×
Tarek Abd El‐Hafeez · 1×
Citations per year

Countries citing papers authored by Binh P. Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Binh P. Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Binh P. Nguyen. 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 Binh P. Nguyen. The network helps show where Binh P. Nguyen may publish in the future.

Co-authorship network of co-authors of Binh P. Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Binh P. Nguyen. A scholar is included among the top collaborators of Binh P. Nguyen 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 Binh P. Nguyen. Binh P. Nguyen 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
1 5
2 5
3 1
4 3
5 23
6 3
7 5
8 0
9 1
10 2
11 0
12 0
13 13
14 4
15 28
16 14
17 40
18 8
19 17
20 36

About Binh P. Nguyen

Binh P. Nguyen is a scholar working on Computer Graphics and Computer-Aided Design, Health Information Management and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (10 papers) and Imbalanced Data Classification Techniques (9 papers). The work is most often cited by research in Health Information Management (189 citations), Health Informatics (38 citations) and Computer Vision and Pattern Recognition (310 citations). Binh P. Nguyen has collaborated with scholars based in New Zealand, Vietnam and Singapore. Frequent co-authors include Chee‐Kong Chui, Quang H. Nguyen, T. T. Trang, Thanh‐Hoang Nguyen‐Vo, Matthew Chin Heng Chua, Colin R Simpson, Nguyen Quoc Khanh Le, Stefanka Chukova, Susanto Rahardja and Chin-Boon Chng. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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