Gary Ng

1.8k citations
38 papers · 1.2k · h-index 17

Impact in

Papers in

Gary Ng

35 papers receiving 1.1k citations

Peers

Gary Ng
Comparison fields: 5 of 109
  • Information Systems and Management 109
  • Automotive Engineering 157
  • Computational Mechanics 220
  • Mechanical Engineering 359
  • Artificial Intelligence 281
Replace Zhaoguang Wang with:
Zhaoguang Wang China
W. C. Wake United Kingdom
Roland Lachmayer Germany
Richard Malak United States
Binbin Li China
Xuesong Chen China
R D Allen United Kingdom
Amit Joshi India
Sven K. Esche United States
Weiwei Deng China
Gary Ng relative to Zhaoguang Wang China Zhaoguang Wang's profile →
Citations per field
00.5×3.9×
Zhaoguang Wang · 1×
Citations per year

Countries citing papers authored by Gary Ng

Since Specialization
Citations

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

Fields of papers citing papers by Gary Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gary 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 Gary Ng Line = papers co-authored together Gary Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000275
2 2009190
3 2001145
4 200169
5 201157
6 201054
7 200554
8 201249
9 201349
10
The i.com tool for Intelligent Conceptual Modeling.
200035
11 201826
12
The Effect of Powder Recycling in Direct Metal Laser Deposition on Powder and Manufactured Part Characteristics
200623
13 199922
14 200219
15 200418
16 201517
17 201117
18 200916
19 201415
20 201312

About Gary Ng

Gary Ng is a scholar working on Mechanical Engineering, Computational Mechanics, Biomedical Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Laser Material Processing Techniques (11 papers), Welding Techniques and Residual Stresses (6 papers), Advanced Surface Polishing Techniques (5 papers), Additive Manufacturing Materials and Processes (4 papers), Laser-induced spectroscopy and plasma (4 papers), Semantic Web and Ontologies (4 papers), High-Temperature Coating Behaviors (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Information Systems and Management (109 citations), Automotive Engineering (157 citations), Computational Mechanics (220 citations), Mechanical Engineering (359 citations) and Artificial Intelligence (281 citations). Gary Ng has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Sean Bechhofer, Carole Goble, Norman W. Paton, Andy Brass, Anders E. W. Jarfors, Guijun Bi, Hong Zheng, Robert Stevens, Patricia Baker and R. Stevens. Their work appears in journals such as Journal of Personalized Medicine, Tissue Engineering Part C Methods, Medical Education, Applied Surface Science and Optics & Laser Technology.

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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