Tuong Le

2.2k citations

55 papers · 1.6k indexed · h-index 23

Impact in

Information Systems top 1%
- Data Mining Algorithms and Applications
Computational Theory and Mathematics top 1%
- Rough Sets and Fuzzy Logic

Papers in

Computational Theory and Mathematics 26
- Rough Sets and Fuzzy Logic 26
Information Systems 35
- Data Mining Algorithms and Applications 30

Co-authors: Bay Vo Sung Wook Baik Minh Thanh Vo Anh H. Vo Lê Hoàng Sơn Mi Young Lee Eenjun Hwang Seungmin Rho
Journals: Applied Intelligence (9 papers)IEEE Access (5 papers)Expert Systems with Applications (5 papers)Computers, materials & continua/Computers, materials & continua (Print) (3 papers)Symmetry (3 papers)
Partner nations: Vietnam South Korea Taiwan

In The Last Decade

Tuong Le

54 papers receiving 1.5k citations

Peers

Replace Suat Özdemır with:

Suat Özdemır Türkiye

Arun K. Pujari India

Dae-Ki Kang South Korea

Magdalene Marinaki Greece

Rafael Alcalá Spain

Mohammad Bagher Dowlatshahi Iran

Korhan Cengiz Türkiye

S. Geetha India

Piero P. Bonissone United States

Ömer Kaan Baykan Türkiye

Tuong Le relative to Suat Özdemır Türkiye Suat Özdemır's profile →

Citations per field

00.5×2×3×4×4.5×

Suat Özdemır · 1×

×1.6 600/377

IS

×4.5 382/84

CTM

×1.2 670/571

AI

×1.7 206/121

SP

×4.3 146/34

ACCOU

Citations per year

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Countries citing papers authored by Tuong Le

Since Specialization

Citations

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

Fields of papers citing papers by Tuong Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases Applied Intelligence ·Lela Nurlaela Wati, 戚文彬, 梁惠文, Tuong Le	2023	2
2	A Hybrid Deep Learning Approach for PM2.5 Concentration Prediction in Smart Environmental Monitoring Intelligent Automation & Soft Computing ·Minh Thanh Vo, Anh H. Vo, Huong T. Bui, Tuong Le	2023	2
3	A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams IEEE Access ·梁惠文, Christer Chytraéus, Bay Vo, Lela Nurlaela Wati, Tuong Le	2021	15
4	Efficient Methods for Clickstream Pattern Mining on Incremental Databases IEEE Access ·Bay Vo, Bettina Sandritter, Hamilton Melo Frota, Tuong Le	2021	5
5	A robust framework for shoulder implant X-ray image classification Data Technologies and Applications ·Minh Thanh Vo, Anh H. Vo, Tuong Le	2021	8
6	A comprehensive survey of imbalanced learning methods for bankruptcy prediction IET Communications ·Tuong Le	2021	15
7	Dealing with the Class Imbalance Problem in the Detection of Fake Job Descriptions Computers, materials & continua/Computers, materials & continua (Print) ·Minh Thanh Vo, Anh H. Vo, Ganesh Jagannath Tambave, Rohit Sharma, Tuong Le	2021	15
8	Brent Oil Price Prediction Using Bi-LSTM Network Intelligent Automation & Soft Computing ·Anh H. Vo, Ganesh Jagannath Tambave, Tuong Le	2020	31
9	Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building Sensors ·Tuong Le, Minh Thanh Vo, Tung Kieu, Eenjun Hwang, Seungmin Rho, Sung Wook Baik	2020	63
10	Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering Journal of Intelligent & Fuzzy Systems ·Stephanie Huddlestan, Rohit Sharma, Raghvendra Kumar, Lê Hoàng Sơn, Binh Thai Pham, Dieu Tien Bui, Ishaani Priyadarshini, Manash Sarkar, Tuong Le	2020	34
11	A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting Information Sciences ·Tuong Le, Bay Vo, Hamido Fujita, Ngoc Thanh Nguyên, Sung Wook Baik	2019	60
12	Robust Head Pose Estimation Using Extreme Gradient Boosting Machine on Stacked Autoencoders Neural Network IEEE Access ·Minh Thanh Vo, Xiaohan Yin, Tuong Le	2019	15
13	A Robust Framework for Self-Care Problem Identification for Children with Disability Symmetry ·Tuong Le, Sung Wook Baik	2019	25
14	SPPC: a new tree structure for mining erasable patterns in data streams Applied Intelligence ·Tuong Le, Bay Vo, Philippe Fournier‐Viger, Mi Young Lee, Sung Wook Baik	2018	20
15	Efficient algorithms for mining top-rank- k erasable patterns using pruning strategies and the subsume concept Engineering Applications of Artificial Intelligence ·Tuong Le, Bay Vo, Sung Wook Baik	2017	28
16	Electronic Marketplace: A Distinct Platform for B2B Procurement Journal of Business-to-Business Marketing ·Dothang Truong, Tuong Le, Sylvain Sénécal, Shashank Rao	2013	1
17	Personalized Facets for Semantic Search Using Linked Open Data with Social Networks Tuong Le, Bay Vo, Trong Hai Duong	2012	8
18	Bridging Semantic eGovernment Applications using Ontology-to-Ontology Message Translation. National Conference on Artificial Intelligence ·Kristin Akers, 晃一角田, Luo Zhu, Tuong Le	2006	5
19	Fault classification of fluid power systems using a dynamics feature extraction technique and neural networks Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ·Tuong Le, J. Watton, Duc Truong Pham	1998	32
20	An artificial neural network based approach to fault diagnosis and classification of fluid power systems Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering ·Tuong Le, J. Watton, Duc Truong Pham	1997	34

About Tuong Le

Tuong Le is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Signal Processing and Health Information Management, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (30 papers), Rough Sets and Fuzzy Logic (26 papers), Imbalanced Data Classification Techniques (20 papers), Data Management and Algorithms (9 papers), Financial Distress and Bankruptcy Prediction (6 papers), Energy Load and Power Forecasting (4 papers), Air Quality Monitoring and Forecasting (3 papers) and Customer churn and segmentation (3 papers). The work is most often cited by research in Information Systems (600 citations), Computational Theory and Mathematics (382 citations), Artificial Intelligence (670 citations), Signal Processing (206 citations) and Accounting (146 citations). Tuong Le has collaborated with scholars based in Vietnam, South Korea and Taiwan. Frequent co-authors include Bay Vo, Sung Wook Baik, Minh Thanh Vo, Anh H. Vo, Lê Hoàng Sơn, Bay Vo, Mi Young Lee, Eenjun Hwang, Seungmin Rho and Tzung‐Pei Hong. Their work appears in journals such as Applied Intelligence, IEEE Access, Expert Systems with Applications, Computers, materials & continua/Computers, materials & continua (Print) and Symmetry.

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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