Hong Kai Yap

2.5k citations
24 papers · 1.9k indexed · 1 hit paper · h-index 17
Topics
Soft Robotics and Applications (19 papers)Stroke Rehabilitation and Recovery (10 papers)Prosthetics and Rehabilitation Robotics (9 papers)

In The Last Decade

Hong Kai Yap

24 papers receiving 1.9k citations

Hit Papers

High-Force Soft Printable Pneumatics for Soft Robotic App...20162026201920222016100200300400

Peers

Hong Kai Yap
Comparison fields: 5 of 69
  • Biomedical Engineering 1.7k
  • Control and Systems Engineering 460
  • Rehabilitation 429
  • Mechanical Engineering 409
  • Cognitive Neuroscience 207
Replace Toshiro Noritsugu with:
Toshiro Noritsugu Japan
Alan T. Asbeck United States
Andrew McDaid New Zealand
Leonardo Cappello Italy
Ye Ding United States
Brian Byunghyun Kang South Korea
Marco Fontana Italy
Patrick M. Aubin United States
Bertrand Tondu France
Stefano Rossi Italy
Hong Kai Yap relative to Toshiro Noritsugu Japan Toshiro Noritsugu's profile →
Citations per field
00.5×4.3×
Toshiro Noritsugu · 1×
Citations per year

Countries citing papers authored by Hong Kai Yap

Since Specialization
Citations

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

Fields of papers citing papers by Hong Kai Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Kai Yap. 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 Hong Kai Yap. The network helps show where Hong Kai Yap may publish in the future.

Co-authorship network of co-authors of Hong Kai Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Kai Yap. A scholar is included among the top collaborators of Hong Kai Yap 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 Hong Kai Yap. Hong Kai Yap 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 2
2 8
3 14
4 147
5 72
6 54
7 22
8 206
9 24
10 34
11 4
12 95
13
High-Force Soft Printable Pneumatics for Soft Robotic Applicationsbreakdown →
480
14 225
15 83
16 5
17 42
18 10
19 225
20
Characterization of a Soft Bending Actuator for Rehabilitation Application
3

About Hong Kai Yap

Hong Kai Yap is a scholar working on Rehabilitation, Biomedical Engineering and Internal Medicine, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (19 papers), Stroke Rehabilitation and Recovery (10 papers) and Prosthetics and Rehabilitation Robotics (9 papers). The work is most often cited by research in Rehabilitation (429 citations), Biomedical Engineering (1.7k citations) and Control and Systems Engineering (460 citations). Hong Kai Yap has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Chen‐Hua Yeow, Jeong Hoon Lim, Fatima Nasrallah, James Goh, Yi Sun, Xinquan Liang, James Cho Hong Goh, Joo Chuan Yeo, Wang Xi and Chwee Teck Lim. Their work appears in journals such as NeuroImage, Frontiers in Neuroscience and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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