Tung Dang

1.4k total citations
22 papers, 882 citations indexed

About

Tung Dang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Tung Dang has authored 22 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 18 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in Tung Dang's work include Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (15 papers) and Modular Robots and Swarm Intelligence (4 papers). Tung Dang is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (15 papers) and Modular Robots and Swarm Intelligence (4 papers). Tung Dang collaborates with scholars based in United States, India and Switzerland. Tung Dang's co-authors include Kostas Alexis, Frank Mascarich, Shehryar Khattak, Christos Papachristos, Huan Nguyen, Marco Tranzatto, Marco Hutter, Nikhil Khedekar, Mihir Dharmadhikari and Emily Hand and has published in prestigious journals such as Journal of Vision, Autonomous Robots and Journal of Field Robotics.

In The Last Decade

Tung Dang

22 papers receiving 849 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 Dang United States 15 689 647 132 121 112 22 882
Frank Mascarich United States 16 724 1.1× 634 1.0× 158 1.2× 132 1.1× 104 0.9× 25 999
Arturo Gil Spain 16 582 0.8× 600 0.9× 157 1.2× 135 1.1× 109 1.0× 60 862
John G. Rogers United States 17 547 0.8× 533 0.8× 151 1.1× 107 0.9× 128 1.1× 62 912
Christoforos Kanellakis Sweden 14 552 0.8× 521 0.8× 156 1.2× 60 0.5× 122 1.1× 66 816
Titus Cieslewski Switzerland 13 557 0.8× 502 0.8× 120 0.9× 79 0.7× 111 1.0× 20 771
Sören Schwertfeger China 18 745 1.1× 630 1.0× 114 0.9× 94 0.8× 75 0.7× 77 1.1k
Shehryar Khattak United States 20 1.0k 1.5× 874 1.4× 179 1.4× 163 1.3× 138 1.2× 41 1.4k
Joan Solà Spain 17 671 1.0× 552 0.9× 145 1.1× 72 0.6× 50 0.4× 45 941
Takanori Emaru Japan 16 459 0.7× 554 0.9× 315 2.4× 148 1.2× 62 0.6× 131 943
Michael Kaßecker Germany 5 466 0.7× 386 0.6× 229 1.7× 72 0.6× 135 1.2× 8 749

Countries citing papers authored by Tung Dang

Since Specialization
Citations

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

Fields of papers citing papers by Tung Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Tung Dang. A scholar is included among the top collaborators of Tung 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 Tung Dang. Tung 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.
Dharmadhikari, Mihir, et al.. (2021). Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search. 269–275. 3 indexed citations
2.
Dharmadhikari, Mihir, et al.. (2020). Motion Primitives-based Path Planning for Fast and Agile Exploration using Aerial Robots. 179–185. 111 indexed citations
3.
Khattak, Shehryar, Huan Nguyen, Frank Mascarich, Tung Dang, & Kostas Alexis. (2020). Complementary Multi–Modal Sensor Fusion for Resilient Robot Pose Estimation in Subterranean Environments. 1024–1029. 99 indexed citations
4.
Dang, Tung, Marco Tranzatto, Shehryar Khattak, et al.. (2020). Graph‐based subterranean exploration path planning using aerial and legged robots. Journal of Field Robotics. 37(8). 1363–1388. 157 indexed citations
5.
Mascarich, Frank, Huan Nguyen, Tung Dang, et al.. (2020). A Self-Deployed Multi-Channel Wireless Communications System for Subterranean Robots. 8 indexed citations
6.
Dang, Tung, et al.. (2020). Learning-based Path Planning for Autonomous Exploration of Subterranean Environments. 1215–1221. 32 indexed citations
7.
Petris, Paolo De, Huan Nguyen, Tung Dang, Frank Mascarich, & Kostas Alexis. (2020). Collision-tolerant Autonomous Navigation through Manhole-sized Confined Environments. 84–89. 14 indexed citations
8.
Nguyen, Huan, Tung Dang, & Kostas Alexis. (2020). The Reconfigurable Aerial Robotic Chain: Modeling and Control. 5328–5334. 11 indexed citations
9.
Papachristos, Christos, Frank Mascarich, Shehryar Khattak, Tung Dang, & Kostas Alexis. (2019). Localization uncertainty-aware autonomous exploration and mapping with aerial robots using receding horizon path-planning. Autonomous Robots. 43(8). 2131–2161. 44 indexed citations
10.
Dang, Tung, Shehryar Khattak, Frank Mascarich, & Kostas Alexis. (2019). Explore Locally, Plan Globally: A Path Planning Framework for Autonomous Robotic Exploration in Subterranean Environments. 9–16. 35 indexed citations
11.
Dang, Tung, Frank Mascarich, Shehryar Khattak, Christos Papachristos, & Kostas Alexis. (2019). Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments. 3105–3112. 114 indexed citations
12.
Khattak, Shehryar, Frank Mascarich, Tung Dang, Christos Papachristos, & Kostas Alexis. (2019). Robust Thermal-Inertial Localization for Aerial Robots: A Case for Direct Methods. 1061–1068. 28 indexed citations
13.
Dang, Tung, Frank Mascarich, Shehryar Khattak, et al.. (2019). Field-hardened Robotic Autonomy for Subterranean Exploration. 18 indexed citations
14.
Khedekar, Nikhil, Frank Mascarich, Christos Papachristos, Tung Dang, & Kostas Alexis. (2019). Contact–based Navigation Path Planning for Aerial Robots. 4161–4167. 14 indexed citations
15.
Dang, Tung, Shehryar Khattak, Christos Papachristos, & Kostas Alexis. (2019). Anomaly Detection and Cognizant Path Planning for Surveillance Operations using Aerial Robots. 7. 667–673. 9 indexed citations
16.
Dang, Tung, Christos Papachristos, & Kostas Alexis. (2018). Visual Saliency-Aware Receding Horizon Autonomous Exploration with Application to Aerial Robotics. 2526–2533. 66 indexed citations
17.
Papachristos, Christos, Tung Dang, Shehryar Khattak, et al.. (2018). Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. 7(3). 180–250. 10 indexed citations
18.
Dang, Tung, et al.. (2018). Statistical characterization of heading stimuli in natural environments using SLAM. Journal of Vision. 18(10). 41–41. 1 indexed citations
19.
Papachristos, Christos, Tung Dang, Shehryar Khattak, et al.. (2018). Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. now publishers, Inc. eBooks. 6 indexed citations
20.
Dang, Tung, Christos Papachristos, & Kostas Alexis. (2018). Autonomous exploration and simultaneous object search using aerial robots. 1–7. 41 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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