Nathan Ng
- Artificial Intelligence top 0.5%
- Health Informatics top 5%
- Signal Processing top 5%
- Surgery top 10%
- Total Knee Arthroplasty Outcomes 10
- Orthopaedic implants and arthroplasty 9
- Orthopedic Surgery and Rehabilitation 5
- Knee injuries and reconstruction techniques 4
- Orthopedic Infections and Treatments 4
- Surgical Simulation and Training 4
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- Bone fractures and treatments 3
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- Foot and Ankle Surgery 3
Nathan Ng
34 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 476
- Health Informatics 23
- Signal Processing 165
- Surgery 443
Countries citing papers authored by Nathan Ng
This map shows the geographic impact of Nathan 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 Nathan Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Ng more than expected).
Fields of papers citing papers by Nathan Ng
This network shows the impact of papers produced by Nathan 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 Nathan Ng. The network helps show where Nathan Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 14 | |
| 10 | Robotic‐arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‐analysisbreakdown → | 2021 | 146 |
| 11 | 2021 | 48 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 0 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 165 | |
| 17 | 2019 | 5 | |
| 18 | fairseq: A Fast, Extensible Toolkit for Sequence Modelingbreakdown → | 2019 | 1381 |
| 19 | Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders. | 2018 | 7 |
| 20 | Predicting Surgery Duration with Neural Heteroscedastic Regression | 2017 | 1 |
About Nathan Ng
Nathan Ng is a scholar working on Health Informatics, Surgery, Developmental Biology, Orthopedics and Sports Medicine and Health Information Management, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (10 papers), Orthopaedic implants and arthroplasty (9 papers), Orthopedic Surgery and Rehabilitation (5 papers), Knee injuries and reconstruction techniques (4 papers), Orthopedic Infections and Treatments (4 papers), Surgical Simulation and Training (4 papers), Bone fractures and treatments (3 papers) and Foot and Ankle Surgery (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (476 citations), Health Informatics (23 citations), Signal Processing (165 citations) and Surgery (443 citations). Nathan Ng has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Myle Ott, Michael Auli, Alexei Baevski, Sergey Edunov, Sam Gross, David Grangier, Angela Fan, Nick D. Clement, James T. Patton and Gavin J. Macpherson. Their work appears in journals such as The Bone & Joint Journal, The Knee, Knee Surgery Sports Traumatology Arthroscopy, Knee Surgery and Related Research and Postgraduate Medical Journal.
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.