Kaiyu Hang

1.3k total citations
45 papers, 840 citations indexed

About

Kaiyu Hang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Kaiyu Hang has authored 45 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Biomedical Engineering. Recurrent topics in Kaiyu Hang's work include Robot Manipulation and Learning (39 papers), Robotic Path Planning Algorithms (15 papers) and Soft Robotics and Applications (13 papers). Kaiyu Hang is often cited by papers focused on Robot Manipulation and Learning (39 papers), Robotic Path Planning Algorithms (15 papers) and Soft Robotics and Applications (13 papers). Kaiyu Hang collaborates with scholars based in United States, Sweden and Hong Kong. Kaiyu Hang's co-authors include Danica Kragić, Johannes A. Stork, Aaron M. Dollar, Andrew S. Morgan, Aude Billard, Miao Li, Florian T. Pokorny, Weihao Yuan, Yasemin Bekiroglu and Michael Yu Wang and has published in prestigious journals such as The International Journal of Robotics Research, Neurocomputing and IEEE Transactions on Robotics.

In The Last Decade

Kaiyu Hang

41 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaiyu Hang United States 18 638 397 260 160 133 45 840
Michael Danielczuk United States 11 582 0.9× 305 0.8× 239 0.9× 147 0.9× 135 1.0× 26 768
Sven Parusel Germany 13 691 1.1× 445 1.1× 279 1.1× 218 1.4× 75 0.6× 23 1.1k
Anis Sahbani France 13 649 1.0× 407 1.0× 318 1.2× 110 0.7× 131 1.0× 48 897
Michael Laskey United States 15 519 0.8× 257 0.6× 223 0.9× 108 0.7× 193 1.5× 26 711
Pablo Jiménez Spain 9 552 0.9× 238 0.6× 335 1.3× 205 1.3× 138 1.0× 12 967
Berthold Bäuml Germany 18 599 0.9× 435 1.1× 347 1.3× 149 0.9× 95 0.7× 42 960
Matthew Matl United States 8 584 0.9× 330 0.8× 221 0.8× 142 0.9× 147 1.1× 11 918
Tokuo Tsuji Japan 18 620 1.0× 458 1.2× 225 0.9× 195 1.2× 73 0.5× 102 864
Corey Goldfeder United States 6 613 1.0× 338 0.9× 202 0.8× 85 0.5× 90 0.7× 9 700
Antonio Morales Spain 19 814 1.3× 514 1.3× 208 0.8× 137 0.9× 152 1.1× 58 1.0k

Countries citing papers authored by Kaiyu Hang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyu Hang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyu Hang. A scholar is included among the top collaborators of Kaiyu Hang 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 Kaiyu Hang. Kaiyu Hang 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
3.
Morgan, Andrew S., et al.. (2025). Caging in time: A framework for robust object manipulation under uncertainties and limited robot perception. The International Journal of Robotics Research. 44(14). 2365–2389.
4.
Sun, Yu, Berk Çallı, Francis wyffels, et al.. (2024). Robotic Grasping and Manipulation Competition at the 2024 IEEE/RAS International Conference on Robotics and Automation [Competitions]. IEEE Robotics & Automation Magazine. 31(4). 174–185.
5.
Hang, Kaiyu, et al.. (2024). RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features. 13954–13960. 2 indexed citations
7.
9.
Dollar, Aaron M., et al.. (2023). Non-Parametric Self-Identification and Model Predictive Control of Dexterous In-Hand Manipulation. 8743–8750. 2 indexed citations
10.
Morgan, Andrew S., Kaiyu Hang, Bowen Wen, Kostas E. Bekris, & Aaron M. Dollar. (2022). Complex In-Hand Manipulation Via Compliance-Enabled Finger Gaiting and Multi-Modal Planning. IEEE Robotics and Automation Letters. 7(2). 4821–4828. 54 indexed citations
11.
Kragić, Danica, et al.. (2021). Herding by caging: a formation-based motion planning framework for guiding mobile agents. Autonomous Robots. 45(5). 613–631. 16 indexed citations
12.
Hang, Kaiyu, et al.. (2021). Manipulation for self-Identification, and self-Identification for better manipulation. Science Robotics. 6(54). 29 indexed citations
13.
Sundaralingam, Balakumar, et al.. (2020). Benchmarking In-Hand Manipulation. IEEE Robotics and Automation Letters. 5(2). 588–595. 34 indexed citations
14.
Yuan, Weihao, et al.. (2020). Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9433–9440. 39 indexed citations
15.
Bekiroglu, Yasemin, Naresh Marturi, Máximo A. Roa, et al.. (2019). Benchmarking Protocol for Grasp Planning Algorithms. IEEE Robotics and Automation Letters. 5(2). 315–322. 24 indexed citations
16.
Rizwan, Asif, et al.. (2019). Placing Objects with prior In-Hand Manipulation using Dexterous Manipulation Graphs. 453–460. 3 indexed citations
18.
Hang, Kaiyu, Miao Li, Johannes A. Stork, et al.. (2014). Hierarchical Fingertip Space for Synthesizing Adaptable Fingertip Grasps. Chalmers Research (Chalmers University of Technology). 2 indexed citations
19.
Hang, Kaiyu, Florian T. Pokorny, & Danica Kragić. (2013). Friction coefficients and grasp synthesis. 3520–3526. 12 indexed citations
20.
Madry, Marianna, Carl Henrik Ek, Renaud Detry, Kaiyu Hang, & Danica Kragić. (2012). Improving generalization for 3D object categorization with Global Structure Histograms. 1379–1386. 21 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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