Shaohui Foong

2.3k citations
162 papers · 1.6k indexed · h-index 22
Topics
Robotics and Sensor-Based Localization (31 papers)Robotic Path Planning Algorithms (25 papers)Soft Robotics and Applications (22 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Applied PhysicsScientific Reports

In The Last Decade

Shaohui Foong

150 papers receiving 1.6k citations

Peers

Shaohui Foong
Comparison fields: 5 of 115
  • Mechanical Engineering 535
  • Biomedical Engineering 525
  • Control and Systems Engineering 428
  • Aerospace Engineering 412
  • Computer Vision and Pattern Recognition 265
Replace Gim Song Soh with:
Gim Song Soh Singapore
Tin Lun Lam China
Etienne Vouga United States
Moritz Bächer Switzerland
Kok-Meng Lee United States
Chang-Soo Han South Korea
Mary Frecker United States
Ichiro Hagiwara Japan
Jianguo Zhao United States
Daehie Hong South Korea
Shaohui Foong relative to Gim Song Soh Singapore Gim Song Soh's profile →
Citations per field
00.5×1.5×1.9×
Gim Song Soh · 1×
Citations per year

Countries citing papers authored by Shaohui Foong

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Foong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Foong

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohui Foong. A scholar is included among the top collaborators of Shaohui Foong 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 Shaohui Foong. Shaohui Foong 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 0
2 0
3 0
4 0
5 0
6 1
7 0
8 2
9 1
10 4
11 10
12 1
13 23
14 15
15 8
16 70
17 38
18 21
19 10
20 1

About Shaohui Foong

Shaohui Foong is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Architecture, having authored 162 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (31 papers), Robotic Path Planning Algorithms (25 papers) and Soft Robotics and Applications (22 papers). The work is most often cited by research in Control and Systems Engineering (428 citations), Aerospace Engineering (412 citations) and Mechanical Engineering (535 citations). Shaohui Foong has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Gim Song Soh, Kristin L. Wood, Audelia G. Dharmawan, Shane Kyi Hla Win, Hassan Hariri, U-Xuan Tan, Yi Xiong, Kevin Otto, Kok-Meng Lee and Zhenglong Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Scientific Reports.

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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