Thao Dang

6.7k total citations · 1 hit paper
75 papers, 2.1k citations indexed

About

Thao Dang is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Automotive Engineering. According to data from OpenAlex, Thao Dang has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Computational Theory and Mathematics and 16 papers in Automotive Engineering. Recurrent topics in Thao Dang's work include Autonomous Vehicle Technology and Safety (16 papers), Formal Methods in Verification (16 papers) and Advanced Vision and Imaging (15 papers). Thao Dang is often cited by papers focused on Autonomous Vehicle Technology and Safety (16 papers), Formal Methods in Verification (16 papers) and Advanced Vision and Imaging (15 papers). Thao Dang collaborates with scholars based in Germany, France and United States. Thao Dang's co-authors include Christoph Stiller, Gabi Breuel, Andreas Tamke, Christian Hoffmann, Julius Ziegler, Philipp Bender, Oded Maler, Eugène Asarin, Rajeev Alur and Franjo Ivančić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and The FASEB Journal.

In The Last Decade

Thao Dang

65 papers receiving 2.0k citations

Hit Papers

Trajectory planning for Bertha — A local, cont... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thao Dang Germany 23 908 722 591 541 363 75 2.1k
Olaf Stursberg Germany 21 544 0.6× 273 0.4× 1.4k 2.3× 726 1.3× 255 0.7× 186 2.3k
Moritz Werling Germany 14 1.7k 1.8× 1.3k 1.7× 979 1.7× 88 0.2× 346 1.0× 36 2.5k
Samarjit Chakraborty Germany 32 570 0.6× 224 0.3× 515 0.9× 960 1.8× 309 0.9× 331 4.4k
Shinpei Kato Japan 28 565 0.6× 674 0.9× 334 0.6× 118 0.2× 237 0.7× 117 3.3k
Necmiye Özay United States 24 252 0.3× 153 0.2× 976 1.7× 755 1.4× 371 1.0× 142 1.8k
Radu Grosu Austria 22 252 0.3× 122 0.2× 256 0.4× 302 0.6× 443 1.2× 134 1.6k
Georgios Fainekos United States 25 224 0.2× 689 1.0× 586 1.0× 1.9k 3.4× 1.2k 3.3× 112 3.0k
Guoqi Xie China 32 213 0.2× 186 0.3× 238 0.4× 106 0.2× 373 1.0× 143 2.9k
Roberto Passerone Italy 25 74 0.1× 167 0.2× 250 0.4× 617 1.1× 397 1.1× 138 2.3k
Hongbin Sun China 24 224 0.2× 663 0.9× 124 0.2× 81 0.1× 366 1.0× 128 1.9k

Countries citing papers authored by Thao Dang

Since Specialization
Citations

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

Fields of papers citing papers by Thao Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thao Dang

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

All Works

20 of 20 papers shown
1.
Dang, Thao, et al.. (2025). Generative AI for Lateral Movement Modeling in Comparison to Classical Modeling Approaches. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7.
3.
Dang, Thao, et al.. (2025). Abnormality-aware multimodal learning for WSI classification. Frontiers in Medicine. 12. 1546452–1546452.
4.
Tamke, Andreas, et al.. (2024). Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention. 168–175. 2 indexed citations
5.
Dang, Thao, et al.. (2024). MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. 1–8. 2 indexed citations
6.
Hipp, Jochen, et al.. (2022). Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. arXiv (Cornell University). 134–142. 7 indexed citations
7.
Dreossi, Tommaso, Thao Dang, & Carla Piazza. (2016). Parallelotope Bundles for Polynomial Reachability. Institutional Research Information System (University of Udine). 297–306. 20 indexed citations
8.
Davies, Stephen, et al.. (2015). The development of an efficient mass balance approach for the purity assignment of organic calibration standards. Analytical and Bioanalytical Chemistry. 407(26). 7983–7993. 17 indexed citations
9.
Ziegler, Julius, Philipp Bender, Thao Dang, & Christoph Stiller. (2014). Trajectory planning for Bertha — A local, continuous method. 450–457. 331 indexed citations breakdown →
10.
Dang, Thao, et al.. (2014). Assessing map-based maneuver hypotheses using probabilistic methods and evidence theory. 995–1002. 12 indexed citations
11.
Dang, Thao, et al.. (2012). Reachability Analysis for Polynomial Dynamical Systems Using the Bernstein Expansion. Reliable Computing. 17. 128–152. 17 indexed citations
12.
Tamke, Andreas, Thao Dang, & Gabi Breuel. (2011). A flexible method for criticality assessment in driver assistance systems. 697–702. 75 indexed citations
13.
Dang, Thao, Colas Le Guernic, & Oded Maler. (2011). Computing reachable states for nonlinear biological models. Theoretical Computer Science. 412(21). 2095–2107. 13 indexed citations
14.
Dang, Thao, Christian Hoffmann, & Christoph Stiller. (2009). Continuous Stereo Self-Calibration by Camera Parameter Tracking. IEEE Transactions on Image Processing. 18(7). 1536–1550. 79 indexed citations
15.
Dang, Thao, et al.. (2008). Sensitive state-space exploration. 4049–4054. 30 indexed citations
16.
Dang, Thao. (2008). An Iterative Parameter Estimation Method for Observation Models with Nonlinear Constraints. Metrology and Measurement Systems. 15. 421–432. 13 indexed citations
17.
Dang, Thao. (2007). Kontinuierliche Selbstkalibrierung von Stereokameras. Repository KITopen (Karlsruhe Institute of Technology). 3 indexed citations
18.
Dang, Thao & Tarik Nahhal. (2006). Randomized Simulation of Hybrid Systems For Circuit Validation.. Forum on specification and Design Languages. 9–15. 3 indexed citations
19.
Alur, Rajeev, Thao Dang, & Franjo Ivančić. (2005). Counterexample-guided predicate abstraction of hybrid systems. Theoretical Computer Science. 354(2). 250–271. 64 indexed citations
20.
Belta, Călin, Jonathan Schug, Thao Dang, et al.. (2003). Stability and reachability analysis of a hybrid model of luminescence in the marine bacterium Vibrio fischeri. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 1. 869–874. 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.

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