Hang Yin

40 papers receiving 491 citations

Hit Papers

Modeling, learning, perception, and control methods for d...2021202620222024202150100150

Peers

Hang Yin
Comparison fields: 5 of 68
  • Control and Systems Engineering 307
  • Biomedical Engineering 150
  • Computer Vision and Pattern Recognition 143
  • Artificial Intelligence 81
  • Aerospace Engineering 76
Replace Sebastian Höfer with:
Sebastian Höfer Germany
Bowen Wen United States
Ulrich Hillenbrand Germany
Zhixing Xue Germany
M. Kakikura Japan
Yunfei Bai United States
Kuan‐Ting Yu United States
Andreas Kargakos Greece
Xavi Gratal Sweden
Rico Jonschkowski Germany
Hang Yin relative to Sebastian Höfer Germany Sebastian Höfer's profile →
Citations per field
00.5×
Sebastian Höfer · 1×
Citations per year

Countries citing papers authored by Hang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Hang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yin. A scholar is included among the top collaborators of Hang Yin 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 Hang Yin. Hang Yin 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 1
2 2
3 1
4 6
5 10
6 1
7 7
8 6
9
Modeling, learning, perception, and control methods for deformable object manipulationbreakdown →
181
10 11
11
Dynamic Environments with Deformable Objects
4
12 11
13 55
14 7
15 0
16
Friction compensation using observers with time-varying gain
0
17
Modeling of High Accuracy Local Geomagnetic Field Base on Rectangular Harmonic Analysis
3
18
Lunar surface hazard detection by 2D maximum entropy thresholding and ellipse fitting
1
19
T-S fuzzy modeling based on particle swarm optimization algorithms
0
20
Polarized-light-based navigation in three-dimensional space
1

About Hang Yin

Hang Yin is a scholar working on Control and Systems Engineering, Architecture and Aerospace Engineering, having authored 49 papers that have together received 506 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (9 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (307 citations), Computer Vision and Pattern Recognition (143 citations) and Industrial and Manufacturing Engineering (57 citations). Hang Yin has collaborated with scholars based in China, Sweden and Switzerland. Frequent co-authors include Danica Kragić, Aude Billard, Miao Li, Kenji Tahara, Xianlin Huang, Hongqian Lu, Michael C. Welle, Mårten Björkman, Alessandro Marino and Martina Lippi. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Neural Networks and IEEE Transactions on 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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