Hung Phan

481 citations
16 papers · 290 · h-index 8

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 287 citations

Peers

Hung Phan
Comparison fields: 5 of 26
  • Software 105
  • Information Systems 263
  • Signal Processing 92
  • Computer Networks and Communications 76
  • Artificial Intelligence 101
Replace Kisub Kim with:
Kisub Kim Singapore
Michael J. Decker United States
Arman Shahbazian United States
Cristian-Alexandru Staicu Germany
Dawn Drain United Kingdom
Santiago Vidal Argentina
Daniela Steidl Germany
Joanna C. S. Santos United States
Chu-Pan Wong United States
Ivan Pashchenko Italy
Hung Phan relative to Kisub Kim Singapore Kisub Kim's profile →
Citations per field
00.5×
Kisub Kim · 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 2017100
2 202044
3 201828
4 201828
5 201721
6 201716
7 201814
8 201713
9 20217
10 20226
11 20185
12 20223
13 20203
14 20251
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 290 indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Software Testing and Debugging 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 (105 citations), Information Systems (263 citations), Signal Processing (92 citations), Computer Networks and Communications (76 citations) and Artificial Intelligence (101 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