Yulun Tian

38 total papers · 718 total citations
11 papers, 344 citations indexed

About

Yulun Tian is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yulun Tian has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yulun Tian's work include Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (5 papers) and Robotic Path Planning Algorithms (2 papers). Yulun Tian is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Indoor and Outdoor Localization Technologies (5 papers) and Robotic Path Planning Algorithms (2 papers). Yulun Tian collaborates with scholars based in United States. Yulun Tian's co-authors include Jonathan P. How, Yun Chang, Carlos Nieto-Granda, Luca Carlone, Kasra Khosoussi, David M. Rosen, Nicholas Roy, Kyel Ok, Loc Tran and Katherine Liu and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

In The Last Decade

Yulun Tian

10 papers receiving 337 citations

Hit Papers

Kimera-Multi: Robust, Dis... 2022 2026 2023 2024 2022 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yulun Tian 257 172 82 72 71 11 344
Carlos Nieto-Granda 242 0.9× 214 1.2× 56 0.7× 69 1.0× 89 1.3× 22 389
João Santos 271 1.1× 238 1.4× 90 1.1× 64 0.9× 37 0.5× 16 403
Miguel Juliá 304 1.2× 294 1.7× 47 0.6× 67 0.9× 98 1.4× 19 392
Rafael Valencia 267 1.0× 230 1.3× 68 0.8× 30 0.4× 42 0.6× 14 331
Vladyslav Usenko 245 1.0× 174 1.0× 79 1.0× 56 0.8× 37 0.5× 7 299
Enrico Zenerino 182 0.7× 116 0.7× 42 0.5× 31 0.4× 56 0.8× 10 329
Matěj Petrlík 263 1.0× 207 1.2× 45 0.5× 23 0.3× 80 1.1× 20 355
Rénald Vincent 267 1.0× 194 1.1× 102 1.2× 61 0.8× 19 0.3× 9 321
Cyrille Berger 250 1.0× 205 1.2× 67 0.8× 25 0.3× 51 0.7× 16 319
Kamak Ebadi 274 1.1× 183 1.1× 68 0.8× 53 0.7× 35 0.5× 13 340

Countries citing papers authored by Yulun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yulun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulun Tian

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

All Works

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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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