Wan Sing Ng

617 citations
40 papers · 432 indexed · h-index 11

Impact in

Papers in

Wan Sing Ng

39 papers receiving 418 citations

Peers

Wan Sing Ng
Comparison fields: 5 of 74
  • Radiation 56
  • Biomedical Engineering 253
  • Surfaces, Coatings and Films 39
  • Computer Vision and Pattern Recognition 94
  • Medical Laboratory Technology 6
Replace Kiyoshi Yoshinaka with:
Kiyoshi Yoshinaka Japan
Piotr Makowski Poland
Richard Droste United Kingdom
Guy Cloutier Canada
Patrick Cheng United States
Kathleen Surry Canada
Xi Hou China
J Boyd Australia
Shangjie Ren China
Ehsan Dehghan Canada
Wan Sing Ng relative to Kiyoshi Yoshinaka Japan Kiyoshi Yoshinaka's profile →
Citations per field
00.5×
Kiyoshi Yoshinaka · 1×
Citations per year

Countries citing papers authored by Wan Sing Ng

Since Specialization
Citations

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

Fields of papers citing papers by Wan Sing Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan Sing Ng. 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 Wan Sing Ng. The network helps show where Wan Sing Ng may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wan Sing Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wan Sing Ng Line = papers co-authored together Wan Sing Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201023
2 200829
3 200720
4 20077
5 20071
6 20073
7 20079
8 20065
9 20065
10 20065
11 20059
12 20056
13 20053
14 20042
15 200340
16 20021
17 20021
18 20017
19 20010
20 200015

About Wan Sing Ng

Wan Sing Ng is a scholar working on Computer Vision and Pattern Recognition, Medical Laboratory Technology, Urology, Aerospace Engineering and Biomedical Engineering, having authored 40 papers that have together received 432 indexed citations. Recurring topics across this work include Soft Robotics and Applications (15 papers), Medical Image Segmentation Techniques (13 papers), Robotics and Sensor-Based Localization (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Robot Manipulation and Learning (7 papers), Surgical Simulation and Training (6 papers), Augmented Reality Applications (5 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Radiation (56 citations), Biomedical Engineering (253 citations), Surfaces, Coatings and Films (39 citations), Computer Vision and Pattern Recognition (94 citations) and Medical Laboratory Technology (6 citations). Wan Sing Ng has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Keck Voon Ling, Yan Yu, Chee Keong Kwoh, Baowei Fei, Tarun K. Podder, Sunita Chauhan, Christopher Cheng, Han Gao, Victor Samper and Tanu Suryadi Kustandi. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Medical Physics, Journal of Biomedical Optics, Journal of Micromechanics and Microengineering and Digestive Endoscopy.

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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