Cho Do Xuan

714 total citations
40 papers, 466 citations indexed

About

Cho Do Xuan is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Cho Do Xuan has authored 40 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 22 papers in Signal Processing and 21 papers in Information Systems. Recurrent topics in Cho Do Xuan's work include Network Security and Intrusion Detection (29 papers), Advanced Malware Detection Techniques (20 papers) and Anomaly Detection Techniques and Applications (11 papers). Cho Do Xuan is often cited by papers focused on Network Security and Intrusion Detection (29 papers), Advanced Malware Detection Techniques (20 papers) and Anomaly Detection Techniques and Applications (11 papers). Cho Do Xuan collaborates with scholars based in Vietnam, Slovakia and Russia. Cho Do Xuan's co-authors include Hoa D. Nguyen, Duc M. Duong, Tung Nguyen, Toan-Van Nguyen, Long Thành Nguyễn, Nguyễn Thanh Tùng and Min Jae Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Cho Do Xuan

33 papers receiving 437 citations

Peers

Cho Do Xuan

CNC

SOFTW

Nwokedi Idika United States

Amine Boukhtouta Canada

D. Sangeetha India

ElMouatez Billah Karbab Canada

Afsah Anwar United States

Yukiko Yamaguchi Japan

Gábor Pék Hungary

Gérard Wagener Luxembourg

Alexandre Dulaunoy Luxembourg

Nwokedi Idika United States

Cho Do Xuan

354 ×1.0

CNC

304 ×1.1

232 ×0.9

129 ×0.7

54 ×1.9

SOFTW

Citations per year, relative to Cho Do Xuan Cho Do Xuan (= 1×) peers Nwokedi Idika

Countries citing papers authored by Cho Do Xuan

Since Specialization

Citations

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

Fields of papers citing papers by Cho Do Xuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cho Do Xuan. 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 Cho Do Xuan. The network helps show where Cho Do Xuan may publish in the future.

Co-authorship network of co-authors of Cho Do Xuan

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

All Works

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20 of 20 papers shown

Xuan, Cho Do, et al.. (2025). A Novel Approach for APT Detection Based on Ensemble Learning Model. Statistical Analysis and Data Mining The ASA Data Science Journal. 18(1). 4 indexed citations

Xuan, Cho Do, et al.. (2025). A Machine Learning Approach for Factor Analysis and Scenario-Based Prediction of Construction Accidents. Buildings. 15(23). 4343–4343.

Xuan, Cho Do, et al.. (2025). A novel approach for software vulnerability detection based on ensemble learning model. Computers & Electrical Engineering. 130. 110848–110848.

Xuan, Cho Do, et al.. (2025). Dual-SPIR model for predicting APT malware spread in organization networks. Computers & Electrical Engineering. 123. 110214–110214.

Tùng, Nguyễn Thanh, et al.. (2025). Ensemble learning-based adaptive and adversarial techniques for APT attack detection. International Journal of Information Security. 24(3).

Xuan, Cho Do, et al.. (2025). Large language models based vulnerability detection: How does it enhance performance?. International Journal of Information Security. 24(1). 3 indexed citations

Xuan, Cho Do & Tung Nguyen. (2024). A novel approach for APT attack detection based on an advanced computing. Scientific Reports. 14(1). 22223–22223. 8 indexed citations

Xuan, Cho Do, et al.. (2024). A novel approach for APT attack detection based on feature intelligent extraction and representation learning. PLoS ONE. 19(6). e0305618–e0305618. 13 indexed citations

Xuan, Cho Do, et al.. (2024). An advanced computing approach for software vulnerability detection. Multimedia Tools and Applications. 83(39). 86707–86740. 4 indexed citations

10.

Xuan, Cho Do & Hoa D. Nguyen. (2023). Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems. Journal of Intelligent & Fuzzy Systems. 45(3). 4517–4533. 3 indexed citations

11.

Xuan, Cho Do, et al.. (2022). A new framework for APT attack detection based on network traffic. Journal of Intelligent & Fuzzy Systems. 44(3). 3459–3474. 9 indexed citations

12.

Xuan, Cho Do, et al.. (2022). A novel intelligent cognitive computing-based APT malware detection for Endpoint systems. Journal of Intelligent & Fuzzy Systems. 43(3). 3527–3547. 11 indexed citations

13.

Xuan, Cho Do. (2021). A Proposal to Improve the Bit Plane Steganography based on the Complexity Calculation Technique. International Journal of Advanced Computer Science and Applications. 12(6).

14.

Xuan, Cho Do, et al.. (2021). A New Approach for Network Steganography Detection based on Deep Learning Techniques. International Journal of Advanced Computer Science and Applications. 12(7). 5 indexed citations

15.

Xuan, Cho Do, et al.. (2021). A novel approach for APT attack detection based on combined deep learning model. Neural Computing and Applications. 33(20). 13251–13264. 49 indexed citations

16.

Xuan, Cho Do, et al.. (2020). Proposed Model for Detecting Malware on Workstations. International Journal of Innovative Technology and Exploring Engineering. 9(6). 1069–1078.

17.

Xuan, Cho Do, et al.. (2020). An adaptive anomaly request detection framework based on dynamic web application profiles. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 10(5). 5335–5335. 5 indexed citations

18.

Xuan, Cho Do, et al.. (2020). APT attack detection based on flow network analysis techniques using deep learning. Journal of Intelligent & Fuzzy Systems. 39(3). 4785–4801. 42 indexed citations

19.

Xuan, Cho Do, et al.. (2019). A Framework for Vietnamese Email Phishing Detection. International Journal of Innovative Technology and Exploring Engineering. 9(1). 2258–2264. 3 indexed citations

20.

Xuan, Cho Do, et al.. (2019). A Method of Detecting Storage Based Network Steganography Using Machine Learning. Procedia Computer Science. 154. 543–548. 10 indexed citations

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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