Kuan‐Ting Yu

1.8k total citations · 1 hit paper
11 papers, 497 citations indexed

About

Kuan‐Ting Yu is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kuan‐Ting Yu has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 4 papers in Aerospace Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kuan‐Ting Yu's work include Robot Manipulation and Learning (5 papers), Robotics and Sensor-Based Localization (4 papers) and Gear and Bearing Dynamics Analysis (3 papers). Kuan‐Ting Yu is often cited by papers focused on Robot Manipulation and Learning (5 papers), Robotics and Sensor-Based Localization (4 papers) and Gear and Bearing Dynamics Analysis (3 papers). Kuan‐Ting Yu collaborates with scholars based in United States, Taiwan and Germany. Kuan‐Ting Yu's co-authors include Alberto Rodríguez, Jianxiong Xiao, Daniel Suo, Shuran Song, Andy Zeng, Li‐Chen Fu, John J. Leonard, Hongkai Dai, Dehann Fourie and Robin Deits and has published in prestigious journals such as IEEE Access, Journal of Field Robotics and Sensors and Materials.

In The Last Decade

Kuan‐Ting Yu

10 papers receiving 474 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.

Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge

2017 303 citations Andy Zeng, Kuan‐Ting Yu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan‐Ting Yu United States	7	316	216	180	172	56	11	497
Bowen Wen United States	9	284 0.9×	254 1.2×	97 0.5×	129 0.8×	37 0.7×	24	518
Balakumar Sundaralingam United States	12	345 1.1×	206 1.0×	129 0.7×	94 0.5×	54 1.0×	17	482
Rico Jonschkowski Germany	8	233 0.7×	173 0.8×	79 0.4×	125 0.7×	61 1.1×	12	401
Nobuyuki Kita Japan	15	178 0.6×	426 2.0×	127 0.7×	344 2.0×	51 0.9×	49	687
Jonathan Cacace Italy	14	325 1.0×	298 1.4×	126 0.7×	266 1.5×	150 2.7×	47	677
M. Kakikura Japan	12	220 0.7×	216 1.0×	119 0.7×	114 0.7×	103 1.8×	60	516
Ulrich Klank Germany	11	264 0.8×	288 1.3×	85 0.5×	125 0.7×	71 1.3×	17	573
Takashi Yoshimi Japan	14	299 0.9×	262 1.2×	219 1.2×	159 0.9×	154 2.8×	92	612
Moon-Hong Baeg South Korea	12	456 1.4×	159 0.7×	301 1.7×	100 0.6×	157 2.8×	50	692
Douglas Morrison Australia	4	266 0.8×	129 0.6×	153 0.8×	78 0.5×	34 0.6×	5	396

Countries citing papers authored by Kuan‐Ting Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kuan‐Ting Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ting Yu. 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 Kuan‐Ting Yu. The network helps show where Kuan‐Ting Yu may publish in the future.

Co-authorship network of co-authors of Kuan‐Ting Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Huang, Junwen, Hao Yu, Kuan‐Ting Yu, et al.. (2024). MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images. 10095–10105. 4 indexed citations

2.

Yu, Kuan‐Ting, et al.. (2020). An Automatic Intelligent Diagnostic Mechanism for the Milling Cutter Wear. IEEE Access. 8. 199359–199368.

3.

Lin, Chih‐Jer, et al.. (2020). Inspection on Ball Bearing Malfunction by Chen-Lee Chaos System. IEEE Access. 8. 28267–28275. 9 indexed citations

4.

Chang‐Jian, Cai‐Wan, et al.. (2020). Optimizing Back Propagation Neural Network Parameters to Judge Fault Types of Ball Bearings. Sensors and Materials. 32(1). 417–417. 2 indexed citations

5.

Yu, Kuan‐Ting & Alberto Rodríguez. (2018). Realtime State Estimation with Tactile and Visual Sensing. Application to Planar Manipulation. 7778–7785. 22 indexed citations

6.

Yu, Kuan‐Ting & Alberto Rodríguez. (2018). Realtime State Estimation with Tactile and Visual Sensing for Inserting a Suction-held Object. 1628–1635. 18 indexed citations

7.

Zeng, Andy, Kuan‐Ting Yu, Shuran Song, et al.. (2017). Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. 1386–1383. 303 indexed citations breakdown →

8.

Yu, Kuan‐Ting, John J. Leonard, & Alberto Rodríguez. (2015). Shape and pose recovery from planar pushing. 1208–1215. 19 indexed citations

9.

Fallon, Maurice, Scott Kuindersma, Sisir Karumanchi, et al.. (2014). An Architecture for Online Affordance‐based Perception and Whole‐body Planning. Journal of Field Robotics. 32(2). 229–254. 91 indexed citations

10.

Yu, Kuan‐Ting, et al.. (2012). Learning hierarchical representation with sparsity for RGB-D object recognition. 9. 3011–3016. 5 indexed citations

11.

Yu, Kuan‐Ting, et al.. (2010). An interactive robotic walker for assisting elderly mobility in senior care unit. 24–29. 24 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.

Explore authors with similar magnitude of impact