Yun Chang

1.4k total citations · 1 hit paper
15 papers, 670 citations indexed

About

Yun Chang is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yun Chang has authored 15 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Yun Chang's work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (7 papers) and Indoor and Outdoor Localization Technologies (5 papers). Yun Chang is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (7 papers) and Indoor and Outdoor Localization Technologies (5 papers). Yun Chang collaborates with scholars based in United States, Italy and Germany. Yun Chang's co-authors include Luca Carlone, Nathan Hughes, Benjamin Morrell, Kamak Ebadi, Ali‐akbar Agha‐mohammadi, Matteo Palieri, Jonathan P. How, Yulun Tian, Carlos Nieto-Granda and Andrzej Reinke 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

Yun Chang

14 papers receiving 646 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems

2022 150 citations Yulun Tian, Yun Chang et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yun Chang United States	11	474	391	124	107	101	15	670
Abel Gawel Switzerland	13	383 0.8×	331 0.8×	106 0.9×	86 0.8×	63 0.6×	28	582
Benjamin Morrell United States	10	401 0.8×	258 0.7×	97 0.8×	105 1.0×	71 0.7×	27	520
Renaud Dubé Switzerland	14	469 1.0×	385 1.0×	121 1.0×	116 1.1×	52 0.5×	20	675
Titus Cieslewski Switzerland	13	557 1.2×	502 1.3×	84 0.7×	122 1.1×	79 0.8×	20	771
Shaowu Yang China	15	487 1.0×	512 1.3×	78 0.6×	81 0.8×	55 0.5×	76	747
Christoforos Kanellakis Sweden	14	552 1.2×	521 1.3×	75 0.6×	62 0.6×	60 0.6×	66	816
Philipp Oettershagen Switzerland	10	567 1.2×	364 0.9×	62 0.5×	94 0.9×	49 0.5×	16	725
Yufeng Yue China	17	511 1.1×	519 1.3×	73 0.6×	120 1.1×	38 0.4×	85	844
Tung Dang United States	15	689 1.5×	647 1.7×	77 0.6×	70 0.7×	121 1.2×	22	882
Muqing Cao Singapore	13	414 0.9×	235 0.6×	104 0.8×	188 1.8×	29 0.3×	31	578

Countries citing papers authored by Yun Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yun Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Chang

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

All Works

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15 of 15 papers shown

1.

Chang, Yun, et al.. (2025). ASHiTA: Automatic Scene-Grounded HIerarchical Task Analysis. 29458–29468.

2.

Maggio, Dominic, et al.. (2024). Clio: Real-Time Task-Driven Open-Set 3D Scene Graphs. IEEE Robotics and Automation Letters. 9(10). 8921–8928. 16 indexed citations

3.

Hughes, Nathan, et al.. (2024). Foundations of spatial perception for robotics: Hierarchical representations and real-time systems. The International Journal of Robotics Research. 43(10). 1457–1505. 28 indexed citations

4.

Lavi, Rea, Olivier de Weck, Prabhat Hajela, et al.. (2024). A Comparative Study of the Impact of Virtual Reality on Student Learning and Satisfaction in Aerospace Education. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations

5.

Schmid, Lukas, et al.. (2024). Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments. 14 indexed citations

6.

Tian, Yulun, et al.. (2023). Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. 11027–11034. 18 indexed citations

7.

Chang, Yun, et al.. (2023). D-Lite: Navigation-Oriented Compression of 3D Scene Graphs for Multi-Robot Collaboration. IEEE Robotics and Automation Letters. 8(11). 7527–7534. 9 indexed citations

8.

Chang, Yun, Nathan Hughes, Aaron Ray, & Luca Carlone. (2023). Hydra-Multi: Collaborative Online Construction of 3D Scene Graphs with Multi-Robot Teams. 10995–11002. 10 indexed citations

9.

Chang, Yun, Kamak Ebadi, Christopher E. Denniston, et al.. (2022). LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments. IEEE Robotics and Automation Letters. 7(4). 9175–9182. 99 indexed citations

10.

Denniston, Christopher E., Yun Chang, Andrzej Reinke, et al.. (2022). Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM. IEEE Robotics and Automation Letters. 7(4). 9651–9658. 23 indexed citations

11.

Reinke, Andrzej, Matteo Palieri, Benjamin Morrell, et al.. (2022). LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping. IEEE Robotics and Automation Letters. 7(4). 9043–9050. 77 indexed citations

12.

Hughes, Nathan, Yun Chang, & Luca Carlone. (2022). Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization. 102 indexed citations

13.

Tian, Yulun, et al.. (2022). Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. IEEE Transactions on Robotics. 38(4). 2022–2038. 150 indexed citations breakdown →

14.

Ebadi, Kamak, Yun Chang, Matteo Palieri, et al.. (2020). LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. 80–86. 120 indexed citations

15.

Du, Yu, et al.. (2016). SIFT-Based Target Recognition in Robot Soccer. Key engineering materials. 693. 1419–1427. 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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