Tung Dang

1.4k citations
22 papers · 882 indexed · h-index 15
Topics
Robotics and Sensor-Based Localization (20 papers)Robotic Path Planning Algorithms (15 papers)Modular Robots and Swarm Intelligence (4 papers)

In The Last Decade

Tung Dang

22 papers receiving 849 citations

Peers

Tung Dang
Comparison fields: 5 of 56
  • Aerospace Engineering 689
  • Computer Vision and Pattern Recognition 647
  • Control and Systems Engineering 132
  • Mechanical Engineering 121
  • Computer Networks and Communications 112
Replace Frank Mascarich with:
Frank Mascarich United States
Christoforos Kanellakis Sweden
Titus Cieslewski Switzerland
Slawomir Grzonka Germany
Shehryar Khattak United States
Michael Watterson United States
John G. Rogers United States
J.-S. Gutmann Japan
David Droeschel Germany
Michael Trentini Canada
Tung Dang relative to Frank Mascarich United States Frank Mascarich's profile →
Citations per field
00.5×1.5×
Frank Mascarich · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 111
3 99
4 157
5 8
6 32
7 14
8 11
9 44
10 35
11 114
12 28
13
Field-hardened Robotic Autonomy for Subterranean Exploration
18
14 14
15 9
16 66
17 10
18 1
19 6
20 41

About Tung Dang

Tung Dang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 22 papers that have together received 882 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (15 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (647 citations), Aerospace Engineering (689 citations) and Geology (77 citations). Tung Dang has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Kostas Alexis, Frank Mascarich, Shehryar Khattak, Christos Papachristos, Huan Nguyen, Marco Tranzatto, Marco Hutter, Nikhil Khedekar, Mihir Dharmadhikari and Emily Hand. Their work appears in journals such as Journal of Vision, Autonomous Robots and Journal of Field Robotics.

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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