Wenzhen Yuan

4.2k citations
46 papers · 2.7k indexed · 3 hit papers · h-index 20
Topics
Tactile and Sensory Interactions (28 papers)Robot Manipulation and Learning (19 papers)Advanced Sensor and Energy Harvesting Materials (18 papers)

In The Last Decade

Wenzhen Yuan

41 papers receiving 2.6k citations

Hit Papers

GelSight: High-Resolution Robot Tactile Sensors for Estim...2017202620202023201720212022200400600

Peers

Wenzhen Yuan
Comparison fields: 5 of 99
  • Biomedical Engineering 1.7k
  • Cognitive Neuroscience 1.6k
  • Control and Systems Engineering 1.0k
  • Human-Computer Interaction 364
  • Mechanical Engineering 334
Replace Giorgio Cannata with:
Giorgio Cannata Italy
Shan Luo United Kingdom
Juan Antonio Corrales Ramón Spain
Akio Namiki Japan
Makoto Kaneko Japan
Joseph M. Romano United States
Oliver Kroemer United States
Tsukasa Ogasawara Japan
Sungchul Kang South Korea
Shinichi Hirai Japan
Wenzhen Yuan relative to Giorgio Cannata Italy Giorgio Cannata's profile →
Citations per field
00.5×7.4×
Giorgio Cannata · 1×
Citations per year

Countries citing papers authored by Wenzhen Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Wenzhen Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenzhen Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhen Yuan. A scholar is included among the top collaborators of Wenzhen Yuan 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 Wenzhen Yuan. Wenzhen Yuan 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 5
2 3
3 1
4 0
5 0
6 1
7 0
8 0
9 1
10 1
11 2
12
Challenges and Outlook in Robotic Manipulation of Deformable Objectsbreakdown →
159
13 19
14 61
15 36
16 15
17 38
18 88
19
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
36
20 5

About Wenzhen Yuan

Wenzhen Yuan is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Control and Systems Engineering, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (28 papers), Robot Manipulation and Learning (19 papers) and Advanced Sensor and Energy Harvesting Materials (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Human-Computer Interaction (364 citations) and Control and Systems Engineering (1.0k citations). Wenzhen Yuan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Edward H. Adelson, Siyuan Dong, Mandayam A. Srinivasan, Jia Pan, Zhengbao Yang, Chaoyang Song, Zhe Hu, Yajing Shen, Youcan Yan and Rui Li. Their work appears in journals such as Sensors, The International Journal of Robotics Research and Science 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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