Hung Phan

488 citations
16 papers · 307 · h-index 9

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Web Data Mining and Analysis
    • Software Engineering Techniques and Practices

Papers in

    • Software Engineering Research 13
    • Web Data Mining and Analysis 3
    • Software Engineering Techniques and Practices 2
    • Topic Modeling 6
    • Natural Language Processing Techniques 4

Hung Phan

15 papers receiving 303 citations

Peers

Hung Phan
Comparison fields: 5 of 26
  • Software 111
  • Information Systems 276
  • Signal Processing 96
  • Computer Networks and Communications 84
  • Artificial Intelligence 107
Replace Santiago Vidal with:
Santiago Vidal Argentina
Daniela Steidl Germany
Joanna C. S. Santos United States
Dawn Drain United Kingdom
Arman Shahbazian United States
Chu-Pan Wong United States
Cristian-Alexandru Staicu Germany
Ivan Pashchenko Italy
Alexandru Marginean United Kingdom
Moshi Wei Canada
Hung Phan relative to Santiago Vidal Argentina Santiago Vidal's profile →
Citations per field
00.5×1.6×
Santiago Vidal · 1×
Citations per year

Countries citing papers authored by Hung Phan

Since Specialization
Citations

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

Fields of papers citing papers by Hung Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hung Phan, 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 Hung Phan Line = papers co-authored together Hung Phan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2017105
2 202045
3 201829
4 201829
5 201723
6 201718
7 201816
8 201713
9 20219
10 20226
11 20185
12 20203
13 20223
14 20252
15 20251
16 20250

About Hung Phan

Hung Phan is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Signal Processing, having authored 16 papers that have together received 307 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Topic Modeling (6 papers), Software Testing and Debugging Techniques (4 papers), Natural Language Processing Techniques (4 papers), Software System Performance and Reliability (3 papers), Web Data Mining and Analysis (3 papers), Advanced Malware Detection Techniques (2 papers) and Software Engineering Techniques and Practices (2 papers). The work is most often cited by research in Software (111 citations), Information Systems (276 citations), Signal Processing (96 citations), Computer Networks and Communications (84 citations) and Artificial Intelligence (107 citations). Hung Phan has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Tien N. Nguyen, Anh Tuan Nguyen, Trong Duc Nguyen, Son Nguyen, Trinh Le, Hoan Anh Nguyen, Ali Jannesari, Ngoc Mai Tran, Hridesh Rajan and Hung Viet Nguyen. Their work appears in journals such as Automated Software Engineering and Communications Medicine.

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.

Explore authors with similar magnitude of impact