Van-Huy Pham

68 papers receiving 1.5k citations

Peers

Van-Huy Pham
Comparison fields: 5 of 170
  • Health Information Management 87
  • Genetics 135
  • Pharmacy 44
  • Health Informatics 13
  • Analytical Chemistry 61
Replace Sanjiv Jain with:
Sanjiv Jain India
Wuquan Deng China
Yu Cao United States
Jian Kong United States
Julian M.W. Quinn Australia
Zahra Mohtasham‐Amiri Iran
Shi Chen China
Hongru Li China
Jing Han China
Ljubomir Buturović United States
Van-Huy Pham relative to Sanjiv Jain India Sanjiv Jain's profile →
Citations per field
00.5×10.2×
Sanjiv Jain · 1×
Citations per year

Countries citing papers authored by Van-Huy Pham

Since Specialization
Citations

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

Fields of papers citing papers by Van-Huy Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Van-Huy Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Van-Huy Pham Line = papers co-authored together Van-Huy Pham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020174
2 2018156
3 2018134
4 2019115
5 201984
6 201480
7 202070
8 201968
9 201956
10 202045
11 202141
12 202139
13 202031
14 201728
15 201927
16 201526
17 201726
18 201926
19 201823
20 201920

About Van-Huy Pham

Van-Huy Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Public Health, Environmental and Occupational Health and Industrial and Manufacturing Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Facility Location and Emergency Management (5 papers), Topic Modeling (4 papers), Human Pose and Action Recognition (4 papers), Computational Geometry and Mesh Generation (4 papers), Video Surveillance and Tracking Methods (4 papers), Distributed and Parallel Computing Systems (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Health Information Management (87 citations), Genetics (135 citations), Pharmacy (44 citations), Health Informatics (13 citations) and Analytical Chemistry (61 citations). Van-Huy Pham has collaborated with scholars based in Vietnam, South Korea and China. Frequent co-authors include Dinh‐Toi Chu, Keun Ho Ryu, Võ Trương Như Ngọc, Duc‐Hau Le, Nipon Theera‐Umpon, Nguyen Le Bao Tien, Vo Van Thanh, Byung Ryong Lee, Thuy T. P. Nguyen and Vu Thi Nga. Their work appears in journals such as IEEE Access, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Applied Sciences, International Journal of Environmental Research and Public Health and European Journal of Clinical Microbiology & Infectious Diseases.

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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