Kien Do

460 total citations
13 papers, 65 citations indexed

About

Kien Do is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kien Do has authored 13 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Kien Do's work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Kien Do is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Kien Do collaborates with scholars based in Australia, Vietnam and Denmark. Kien Do's co-authors include Svetha Venkatesh, Truyen Tran, Thin Nguyen, Toan Nguyen, Truong V. Vu, Yang-Wai Chow, Willy Susilo, Khoat Than, Tung Kieu and Duc Thanh Nguyen and has published in prestigious journals such as Expert Systems with Applications, Machine Learning and Pattern Recognition Letters.

In The Last Decade

Kien Do

13 papers receiving 64 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kien Do Australia	5	52	22	12	7	6	13	65
Seiya Tokui Japan	2	33 0.6×	30 1.4×	10 0.8×	6 0.9×	3 0.5×	2	70
Ruikun Li Australia	3	30 0.6×	13 0.6×	6 0.5×	7 1.0×	8 1.3×	4	65
Chinnadhurai Sankar United States	6	129 2.5×	30 1.4×	5 0.4×	6 0.9×	4 0.7×	9	155
Xiaoyu Xing China	4	100 1.9×	17 0.8×	5 0.4×	12 1.7×	4 0.7×	7	121
Itai Dinur Israel	6	49 0.9×	29 1.3×	10 0.8×	7 1.0×	2 0.3×	17	63
Erik Zenner Denmark	4	39 0.8×	34 1.5×	11 0.9×	9 1.3×	2 0.3×	12	56
Tongzheng Ren United States	4	54 1.0×	72 3.3×	7 0.6×	7 1.0×	2 0.3×	10	121
Victor Gabillon France	4	22 0.4×	10 0.5×	13 1.1×	4 0.6×	4 0.7×	5	40
Toru Akishita Denmark	4	96 1.8×	70 3.2×	15 1.3×	8 1.1×	5 0.8×	7	114

Countries citing papers authored by Kien Do

Since Specialization

Citations

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

Fields of papers citing papers by Kien Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kien Do

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Nguyen, Toan, et al.. (2024). Class-incremental learning with causal relational replay. Expert Systems with Applications. 250. 123901–123901. 10 indexed citations

2.

Nguyen, Dang, Sunil Gupta, Kien Do, Thin Nguyen, & Svetha Venkatesh. (2024). Generating Realistic Tabular Data with Large Language Models. 330–339. 2 indexed citations

3.

Nguyen, Toan, et al.. (2024). Domain Generalisation via Risk Distribution Matching. 2778–2787. 4 indexed citations

4.

Nguyen, Toan, et al.. (2023). Causal Inference via Style Transfer for Out-of-distribution Generalisation. 1746–1757. 3 indexed citations

5.

Do, Kien, et al.. (2023). Unsupervised image segmentation with robust virtual class contrast. Pattern Recognition Letters. 173. 10–16. 3 indexed citations

6.

Nguyen, Phuoc, et al.. (2023). Memory-Augmented Theory of Mind Network. Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11630–11637. 1 indexed citations

7.

Chow, Yang-Wai, et al.. (2023). TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. Research Online (University of Wollongong). 1667–1683. 7 indexed citations

8.

Do, Kien, Truyen Tran, & Svetha Venkatesh. (2021). Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 7236–7244. 1 indexed citations

9.

Do, Kien, Truyen Tran, & Svetha Venkatesh. (2021). Clustering by Maximizing Mutual Information Across Views. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9908–9918. 2 indexed citations

10.

Do, Kien & Truyen Tran. (2020). Theory and Evaluation Metrics for Learning Disentangled Representations. Figshare. 2 indexed citations

11.

Do, Kien, Truyen Tran, Thin Nguyen, & Svetha Venkatesh. (2019). Attentional multilabel learning over graphs: a message passing approach. Machine Learning. 108(10). 1757–1781. 13 indexed citations

12.

Do, Kien, Truyen Tran, & Svetha Venkatesh. (2018). Energy-based anomaly detection for mixed data. Knowledge and Information Systems. 57(2). 413–435. 16 indexed citations

13.

Do, Kien, Truyen Tran, & Svetha Venkatesh. (2017). Matrix-centric Neural Networks.. arXiv (Cornell University). 1 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