Tung Kieu

1.2k total citations
19 papers, 815 citations indexed

About

Tung Kieu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tung Kieu has authored 19 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tung Kieu's work include Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (10 papers) and Traffic Prediction and Management Techniques (3 papers). Tung Kieu is often cited by papers focused on Anomaly Detection Techniques and Applications (11 papers), Time Series Analysis and Forecasting (10 papers) and Traffic Prediction and Management Techniques (3 papers). Tung Kieu collaborates with scholars based in Denmark, China and Vietnam. Tung Kieu's co-authors include Bin Yang, Christian S. Jensen, Chenjuan Guo, Razvan-Gabriel Cirstea, Shirui Pan, Tuong Le, Kai Zheng, Yan Zhao, Sinno Jialin Pan and Sung Wook Baik and has published in prestigious journals such as Expert Systems with Applications, Sensors and Proceedings of the VLDB Endowment.

In The Last Decade

Tung Kieu

17 papers receiving 797 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tung Kieu Denmark 13 428 394 194 189 108 19 815
Usue Mori Spain 12 367 0.9× 337 0.9× 168 0.9× 162 0.9× 53 0.5× 24 805
Congrui Huang China 5 599 1.4× 403 1.0× 51 0.3× 239 1.3× 71 0.7× 8 892
Félix Iglesias Austria 15 397 0.9× 209 0.5× 95 0.5× 314 1.7× 24 0.2× 40 753
Sin G. Teo Singapore 10 245 0.6× 121 0.3× 224 1.2× 141 0.7× 21 0.2× 27 638
Renhe Jiang Japan 20 316 0.7× 326 0.8× 679 3.5× 64 0.3× 73 0.7× 87 1.2k
Alain Biem United States 17 441 1.0× 278 0.7× 72 0.4× 222 1.2× 24 0.2× 46 885
Jiayun Luo Singapore 5 236 0.6× 116 0.3× 485 2.5× 70 0.4× 39 0.4× 6 838
Weixiong Rao China 15 124 0.3× 127 0.3× 103 0.5× 258 1.4× 29 0.3× 83 681
Donglin Wang China 11 361 0.8× 84 0.2× 71 0.4× 51 0.3× 82 0.8× 43 601
Dawen Xia China 17 202 0.5× 86 0.2× 293 1.5× 286 1.5× 24 0.2× 65 953

Countries citing papers authored by Tung Kieu

Since Specialization
Citations

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

Fields of papers citing papers by Tung Kieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung Kieu

This figure shows the co-authorship network connecting the top 25 collaborators of Tung Kieu. A scholar is included among the top collaborators of Tung Kieu 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 Tung Kieu. Tung Kieu 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
1.
Kieu, Tung, et al.. (2025). SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts. VBN Forskningsportal (Aalborg Universitet). 21369–21392.
2.
Kieu, Tung, et al.. (2024). QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proceedings of the VLDB Endowment. 17(11). 2708–2721. 8 indexed citations
3.
Nguyen, Toan, et al.. (2024). Class-incremental learning with causal relational replay. Expert Systems with Applications. 250. 123901–123901. 10 indexed citations
4.
Kieu, Tung, et al.. (2024). TEAM: Topological Evolution-Aware Framework for Traffic Forecasting. Proceedings of the VLDB Endowment. 18(2). 265–278. 4 indexed citations
5.
Guo, Chenjuan, Ronghui Xu, Bin Yang, et al.. (2024). Efficient Stochastic Routing in Path-Centric Uncertain Road Networks. Proceedings of the VLDB Endowment. 17(11). 2893–2905. 5 indexed citations
6.
Le, Huy Quoc, Tung Kieu, Anh Nguyen, & Ngan Le. (2024). WAVER: Writing-Style Agnostic Text-Video Retrieval Via Distilling Vision-Language Models Through Open-Vocabulary Knowledge. 3025–3029. 1 indexed citations
7.
Zhang, Miao, et al.. (2023). LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proceedings of the ACM on Management of Data. 1(2). 1–27. 35 indexed citations
8.
Kieu, Tung, Bin Yang, Chenjuan Guo, et al.. (2022). Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1342–1354. 32 indexed citations
9.
Cirstea, Razvan-Gabriel, Chenjuan Guo, Bin Yang, et al.. (2022). Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 1994–2001. 61 indexed citations
10.
Cirstea, Razvan-Gabriel, Bin Yang, Chenjuan Guo, Tung Kieu, & Shirui Pan. (2022). Towards Spatio- Temporal Aware Traffic Time Series Forecasting. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2900–2913. 73 indexed citations
11.
Zhao, Yan, Xuanhao Chen, Liwei Deng, et al.. (2022). Outlier Detection for Streaming Task Assignment in Crowdsourcing. Proceedings of the ACM Web Conference 2022. 1933–1943. 19 indexed citations
12.
Kieu, Tung, Bin Yang, Chenjuan Guo, et al.. (2022). Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3038–3050. 36 indexed citations
13.
Kieu, Tung, et al.. (2021). Unsupervised time series outlier detection with diversity-driven convolutional ensembles. Proceedings of the VLDB Endowment. 15(3). 611–623. 42 indexed citations
14.
Cirstea, Razvan-Gabriel, Tung Kieu, Chenjuan Guo, Bin Yang, & Sinno Jialin Pan. (2021). EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting. VBN Forskningsportal (Aalborg Universitet). 1739–1750. 58 indexed citations
15.
Le, Tuong, Minh Thanh Vo, Tung Kieu, et al.. (2020). Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building. Sensors. 20(9). 2668–2668. 63 indexed citations
16.
Kieu, Tung, Bin Yang, Chenjuan Guo, & Christian S. Jensen. (2019). Outlier Detection for Time Series with Recurrent Autoencoder Ensembles. VBN Forskningsportal (Aalborg Universitet). 2725–2732. 171 indexed citations
17.
Kieu, Tung, Bin Yang, Chenjuan Guo, & Christian S. Jensen. (2018). Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories. VBN Forskningsportal (Aalborg Universitet). 863–872. 38 indexed citations
18.
Kieu, Tung, Bin Yang, & Christian S. Jensen. (2018). Outlier Detection for Multidimensional Time Series Using Deep Neural Networks. VBN Forskningsportal (Aalborg Universitet). 125–134. 130 indexed citations
19.
Kieu, Tung, Bay Vo, Tuong Le, Zhi‐Hong Deng, & Bac Le. (2017). Mining top- k co-occurrence items with sequential pattern. Expert Systems with Applications. 85. 123–133. 29 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Usue Mori Breakdown of academic impact, for papers by Congrui Huang Breakdown of academic impact, for papers by Félix Iglesias Breakdown of academic impact, for papers by Sin G. Teo Breakdown of academic impact, for papers by Renhe Jiang Breakdown of academic impact, for papers by Alain Biem Breakdown of academic impact, for papers by Jiayun Luo Breakdown of academic impact, for papers by Weixiong Rao Breakdown of academic impact, for papers by Donglin Wang Breakdown of academic impact, for papers by Dawen Xia
Rankless by CCL
2026