Xuan-Hieu Phan

1.4k total citations
42 papers, 825 citations indexed

About

Xuan-Hieu Phan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuan-Hieu Phan has authored 42 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 15 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuan-Hieu Phan's work include Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Text and Document Classification Technologies (12 papers). Xuan-Hieu Phan is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers) and Text and Document Classification Technologies (12 papers). Xuan-Hieu Phan collaborates with scholars based in Japan, Vietnam and Australia. Xuan-Hieu Phan's co-authors include Le-Minh Nguyen, Susumu Horiguchi, Cam-Tu Nguyen, Quang-Thuy Ha, Trung‐Kien Nguyen, Zhiwei Zhang, Akira Shimazu, Takeshi Tokuyama, Son Bao Pham and Vu Tran and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Xuan-Hieu Phan

38 papers receiving 767 citations

Peers

Xuan-Hieu Phan
Comparison fields: 5 of 79
  • Artificial Intelligence 661
  • Information Systems 255
  • Computer Vision and Pattern Recognition 74
  • Statistical and Nonlinear Physics 70
  • Molecular Biology 51
Replace Nicholas Kolkin with:
Nicholas Kolkin United States
Sung-Hyon Myaeng South Korea
Marina Danilevsky United States
David Andrzejewski United States
Hiroya Takamura Japan
Víctor Fresno Spain
Wael H. Gomaa Egypt
Chunyu Kit Hong Kong
Corinna Breitinger Germany
Nicholas Kolkin United States View profile →
Citations per field, relative to Xuan-Hieu Phan
Xuan-Hieu Phan · 1×
Citations per year, relative to Xuan-Hieu Phan
Xuan-Hieu Phan · 1×

Countries citing papers authored by Xuan-Hieu Phan

Since Specialization
Citations

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

Fields of papers citing papers by Xuan-Hieu Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan-Hieu Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan-Hieu Phan. A scholar is included among the top collaborators of Xuan-Hieu 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 Xuan-Hieu Phan. Xuan-Hieu 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 1
3 0
4 1
5 3
6
Learning Neural Textual Representations for Citation Recommendation
4
7 3
8 5
9 2
10 10
11 8
12 7
13 14
14 489
15
High-Performance Training of Conditional Random Fields for Large-Scale Applications of Labeling Sequence Data(Parallel Processing System, Parallel/Distributed Processing and Systems)
1
16
A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
1
17 7
18
Vietnamese word segmentation with crfs and svms: An investigation
32
19 10
20 1

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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