Thanh Le-Cong

474 total citations
19 papers, 249 citations indexed

About

Thanh Le-Cong is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Thanh Le-Cong has authored 19 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 9 papers in Artificial Intelligence and 5 papers in Software. Recurrent topics in Thanh Le-Cong's work include Software Engineering Research (6 papers), Advanced Malware Detection Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Thanh Le-Cong is often cited by papers focused on Software Engineering Research (6 papers), Advanced Malware Detection Techniques (4 papers) and Software Reliability and Analysis Research (3 papers). Thanh Le-Cong collaborates with scholars based in Australia, Vietnam and Singapore. Thanh Le-Cong's co-authors include Xuan-Bach D. Le, David Lo, Ratnadira Widyasari, Trương Thu Hương, Hoang Xuan Nguyen, Kim Phuc Tran, Li Li, Chakkrit Tantithamthavorn, Yue Liu and Hong Jin Kang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Software Engineering and Computers in Industry.

In The Last Decade

Thanh Le-Cong

15 papers receiving 241 citations

Peers

Thanh Le-Cong
Comparison fields: 5 of 49
  • Artificial Intelligence 123
  • Information Systems 85
  • Computer Networks and Communications 68
  • Signal Processing 37
  • Software 32
Replace Rob Ashmore with:
Rob Ashmore United Kingdom
Jieke Shi Singapore
Brahim Hamid France
Elke Pulvermueller Germany
Du Zhang United States
Eduardo Cunha de Almeida Brazil
Daniel Balasubramanian United States
Thanh Tung Khuat Vietnam
Marc Solé Spain
Manel Abdellatif Canada
Rob Ashmore United Kingdom View profile →
Citations per field, relative to Thanh Le-Cong
Thanh Le-Cong · 1×
Citations per year, relative to Thanh Le-Cong
Thanh Le-Cong · 1×

Countries citing papers authored by Thanh Le-Cong

Since Specialization
Citations

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

Fields of papers citing papers by Thanh Le-Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh Le-Cong. 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 Thanh Le-Cong. The network helps show where Thanh Le-Cong may publish in the future.

Co-authorship network of co-authors of Thanh Le-Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Thanh Le-Cong. A scholar is included among the top collaborators of Thanh Le-Cong 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 Thanh Le-Cong. Thanh Le-Cong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 58
5 0
6 3
7 9
8 14
9 7
10 4
11 2
12 0
13 12
14 14
15 92
16 0
17 5
18 5
19 21

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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