Tho Quan

1.7k citations
96 papers · 891 · h-index 15

Impact in

Papers in

Tho Quan

87 papers receiving 833 citations

Peers

Tho Quan
Comparison fields: 5 of 115
  • Signal Processing 172
  • Artificial Intelligence 403
  • Software 46
  • Computer Networks and Communications 268
  • Information Systems 261
Replace Johann Gamper with:
Johann Gamper Italy
Yün Peng China
Yan Jia China
O. P. Vyas India
Joaquín García-Alfaro France
Horst Samulowitz United States
Jesús Cerquides Spain
Jens Bleiholder Germany
Jee-Hyong Lee South Korea
Venkat N. Gudivada United States
Tho Quan relative to Johann Gamper Italy Johann Gamper's profile →
Citations per field
00.5×11×
Johann Gamper · 1×
Citations per year

Countries citing papers authored by Tho Quan

Since Specialization
Citations

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

Fields of papers citing papers by Tho Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021181
2 201857
3 200955
4 200653
5
A Fuzzy FCA-based Approach to Conceptual Clustering for Automatic Generation of Concept Hierarchy on Uncertainty Data
200448
6 202045
7 202030
8 202129
9 202227
10 201026
11 202018
12 200616
13 202116
14 200515
15 201715
16 200814
17 200914
18 202413
19 202212
20 201811

About Tho Quan

Tho Quan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computational Theory and Mathematics, having authored 96 papers that have together received 891 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Service-Oriented Architecture and Web Services (11 papers), Semantic Web and Ontologies (11 papers), Software Testing and Debugging Techniques (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), Advanced Malware Detection Techniques (9 papers), Data Management and Algorithms (7 papers) and Natural Language Processing Techniques (7 papers). The work is most often cited by research in Signal Processing (172 citations), Artificial Intelligence (403 citations), Software (46 citations), Computer Networks and Communications (268 citations) and Information Systems (261 citations). Tho Quan has collaborated with scholars based in Vietnam, Singapore and United States. Frequent co-authors include Siu Cheung Hui, Amir Masoud Rahmani, A.C.M. Fong, Sarkhel H. Taher Karim, Moazam Bidaki, Mehdi Hosseinzadeh, Mokhtar Mohammadi, Adil Hussein Mohammed, Tarik A. Rashid and Yulan He. Their work appears in journals such as IEEE Access, International Journal of Web and Grid Services, Expert Systems with Applications, Information and Software Technology and IEEE Transactions on Industrial Informatics.

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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