Nghi D. Q. Bui
- Information Systems top 5%
- Software top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Computer Networks and Communications
- Topics
- Software Engineering Research (9 papers)Natural Language Processing Techniques (4 papers)Topic Modeling (3 papers)
- Journals
- Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)Proceedings of the AAAI Conference on Artificial IntelligenceSingapore Management University Institutional Knowledge (InK) (Singapore Management University)
- Partner nations
- SingaporeUnited KingdomVietnam
In The Last Decade
Nghi D. Q. Bui
10 papers receiving 172 citations
Peers
Comparison fields: 5 of 21
- Information Systems 149
- Software 76
- Artificial Intelligence 75
- Signal Processing 58
- Computer Networks and Communications 41
Countries citing papers authored by Nghi D. Q. Bui
This map shows the geographic impact of Nghi D. Q. Bui'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 Nghi D. Q. Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nghi D. Q. Bui more than expected).
Fields of papers citing papers by Nghi D. Q. Bui
This network shows the impact of papers produced by Nghi D. Q. Bui. 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 Nghi D. Q. Bui. The network helps show where Nghi D. Q. Bui may publish in the future.
Co-authorship network of co-authors of Nghi D. Q. Bui
This figure shows the co-authorship network connecting the top 25 collaborators of Nghi D. Q. Bui. A scholar is included among the top collaborators of Nghi D. Q. Bui 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 Nghi D. Q. Bui. Nghi D. Q. Bui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transformations | 11 |
| 8 | 21 | |
| 9 | 73 | |
| 10 | 18 | |
| 11 | 21 | |
| 12 | 20 |
About Nghi D. Q. Bui
Nghi D. Q. Bui is a scholar working on Software, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 173 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Software (76 citations), Information Systems (149 citations) and Signal Processing (58 citations). Nghi D. Q. Bui has collaborated with scholars based in Singapore, United Kingdom and Vietnam. Frequent co-authors include Yijun Yu, Lingxiao Jiang, Jin Guo, Tien N. Nguyen, Dung D. Le and Chuong D. Hoang. Their work appears in journals such as Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University), Proceedings of the AAAI Conference on Artificial Intelligence and Singapore Management University Institutional Knowledge (InK) (Singapore Management University).
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.