Thi-Bich-Hanh Dao

466 total citations
12 papers, 93 citations indexed

About

Thi-Bich-Hanh Dao is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thi-Bich-Hanh Dao has authored 12 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thi-Bich-Hanh Dao's work include Data Management and Algorithms (4 papers), Logic, programming, and type systems (3 papers) and Advanced Clustering Algorithms Research (3 papers). Thi-Bich-Hanh Dao is often cited by papers focused on Data Management and Algorithms (4 papers), Logic, programming, and type systems (3 papers) and Advanced Clustering Algorithms Research (3 papers). Thi-Bich-Hanh Dao collaborates with scholars based in France, Germany and United States. Thi-Bich-Hanh Dao's co-authors include Christel Vrain, Thomas Lampert, Pierre Gançarski, Bruno Crémilleux, Germain Forestier, Alain Colmerauer, Thom Frühwirth, Denys Duchier, Ian Davidson and Yannick Parmentier and has published in prestigious journals such as Artificial Intelligence, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Data Mining and Knowledge Discovery.

In The Last Decade

Thi-Bich-Hanh Dao

10 papers receiving 87 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thi-Bich-Hanh Dao France 4 51 33 21 13 12 12 93
Christel Vrain France 6 64 1.3× 35 1.1× 24 1.1× 14 1.1× 18 1.5× 18 126
Magnus Lie Hetland Norway 7 52 1.0× 54 1.6× 39 1.9× 28 2.2× 13 1.1× 19 131
Christophe Gonzales France 7 28 0.5× 14 0.4× 20 1.0× 15 1.2× 16 1.3× 22 105
Sepideh Mahabadi United States 5 47 0.9× 20 0.6× 22 1.0× 25 1.9× 30 2.5× 10 81
Prasoon Goyal India 4 81 1.6× 13 0.4× 56 2.7× 8 0.6× 7 0.6× 7 116
Yichen Qian China 5 45 0.9× 27 0.8× 71 3.4× 26 2.0× 3 0.3× 7 151
Wil Michiels Netherlands 6 55 1.1× 26 0.8× 27 1.3× 26 2.0× 21 1.8× 17 104
Xujiang Zhao United States 8 77 1.5× 14 0.4× 26 1.2× 6 0.5× 4 0.3× 23 125
Peter C. Dillinger United States 5 47 0.9× 11 0.3× 24 1.1× 16 1.2× 23 1.9× 12 104
Jarek Duda Poland 3 40 0.8× 20 0.6× 43 2.0× 22 1.7× 13 1.1× 7 81

Countries citing papers authored by Thi-Bich-Hanh Dao

Since Specialization
Citations

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

Fields of papers citing papers by Thi-Bich-Hanh Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thi-Bich-Hanh Dao. 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 Thi-Bich-Hanh Dao. The network helps show where Thi-Bich-Hanh Dao may publish in the future.

Co-authorship network of co-authors of Thi-Bich-Hanh Dao

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

All Works

12 of 12 papers shown
1.
Vrain, Christel, et al.. (2024). Dataset for image classification with knowledge. Data in Brief. 57. 110893–110893.
2.
Dao, Thi-Bich-Hanh & Christel Vrain. (2024). A review on declarative approaches for constrained clustering. International Journal of Approximate Reasoning. 171. 109135–109135. 3 indexed citations
3.
Vrain, Christel, et al.. (2024). Knowledge graph-based image classification. Data & Knowledge Engineering. 151. 102285–102285.
4.
Vrain, Christel, et al.. (2022). Anchored Constrained Clustering Ensemble. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations
5.
Lampert, Thomas, et al.. (2019). Constrained Distance-Based Clustering for Satellite Image Time-Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(11). 4606–4621. 11 indexed citations
6.
Lampert, Thomas, Thi-Bich-Hanh Dao, Germain Forestier, et al.. (2018). Constrained distance based clustering for time-series: a comparative and experimental study. Data Mining and Knowledge Discovery. 32(6). 1663–1707. 20 indexed citations
7.
Ravi, S. S., et al.. (2017). A Framework for Minimal Clustering Modification via Constraint Programming. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 3 indexed citations
8.
Dao, Thi-Bich-Hanh, et al.. (2015). Constrained clustering by constraint programming. Artificial Intelligence. 244. 70–94. 47 indexed citations
9.
Duchier, Denys, Thi-Bich-Hanh Dao, & Yannick Parmentier. (2013). Model-theory and implementation of property grammars with features. Journal of Logic and Computation. 24(2). 491–509. 2 indexed citations
10.
Duchier, Denys, et al.. (2012). Property grammar parsing seen as a constraint optimization problem. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Dao, Thi-Bich-Hanh, et al.. (2008). Theory of finite or infinite trees revisited. Theory and Practice of Logic Programming. 8(4). 431–489. 2 indexed citations
12.
Colmerauer, Alain & Thi-Bich-Hanh Dao. (2003). Expressiveness of Full First-Order Constraints in the Algebra of Finite or Infinite Trees. Constraints. 8(3). 283–302. 3 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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