NhatHai Phan

1.1k total citations
37 papers, 661 citations indexed

About

NhatHai Phan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, NhatHai Phan has authored 37 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Social Psychology. Recurrent topics in NhatHai Phan's work include Privacy-Preserving Technologies in Data (12 papers), Mental Health via Writing (8 papers) and Digital Mental Health Interventions (7 papers). NhatHai Phan is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Mental Health via Writing (8 papers) and Digital Mental Health Interventions (7 papers). NhatHai Phan collaborates with scholars based in United States, Qatar and Saudi Arabia. NhatHai Phan's co-authors include Xintao Wu, Dejing Dou, Dejing Dou, Yue Wang, Zhihang Hu, Turki Turki, Jason T. L. Wang, Hao Wang, James Geller and Soon Ae Chun and has published in prestigious journals such as IEEE Access, Information Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

NhatHai Phan

35 papers receiving 642 citations

Peers

NhatHai Phan
Comparison fields: 5 of 88
  • Artificial Intelligence 461
  • Computer Vision and Pattern Recognition 121
  • Sociology and Political Science 84
  • Information Systems 75
  • Computer Science Applications 45
Replace Shuiqiao Yang with:
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Zach Jorgensen United States
Kyo-Joong Oh South Korea
Daniel Smilkov North Macedonia
Stewart Massie United Kingdom
Shuiqiao Yang Australia View profile →
Citations per field, relative to NhatHai Phan
NhatHai Phan · 1×
Citations per year, relative to NhatHai Phan
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Countries citing papers authored by NhatHai Phan

Since Specialization
Citations

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

Fields of papers citing papers by NhatHai Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of NhatHai Phan

This figure shows the co-authorship network connecting the top 25 collaborators of NhatHai Phan. A scholar is included among the top collaborators of NhatHai Phan 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 NhatHai Phan. NhatHai Phan 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
# Work Indexed citations
1 0
2 2
3 3
4 5
5 2
6 10
7 3
8 1
9 7
10
Preserving Differential Privacy in Adversarial Learning with Provable Robustness.
3
11 18
12 25
13 55
14 1
15 56
16 18
17 6
18 148
19 15
20 16

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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