Felix Liu

991 total citations
38 papers, 667 citations indexed

About

Felix Liu is a scholar working on Rheumatology, Surgery and Biomedical Engineering. According to data from OpenAlex, Felix Liu has authored 38 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rheumatology, 18 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Felix Liu's work include Osteoarthritis Treatment and Mechanisms (17 papers), Lower Extremity Biomechanics and Pathologies (10 papers) and Total Knee Arthroplasty Outcomes (7 papers). Felix Liu is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (17 papers), Lower Extremity Biomechanics and Pathologies (10 papers) and Total Knee Arthroplasty Outcomes (7 papers). Felix Liu collaborates with scholars based in United States, Germany and Sweden. Felix Liu's co-authors include Michael C. Nevitt, J.A. Lynch, Nancy E. Lane, Lorenzo Nardo, Valentina Pedoia, Hamza Alizai, Thomas M. Link, Sharmila Majumdar, Thomas M. Link and Charles E. McCulloch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Felix Liu

34 papers receiving 659 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Felix Liu United States 14 384 332 219 114 87 38 667
Dong Hyun Kim South Korea 16 345 0.9× 135 0.4× 78 0.4× 100 0.9× 103 1.2× 64 663
Mika Nevalainen Finland 13 332 0.9× 134 0.4× 120 0.5× 81 0.7× 108 1.2× 50 524
Tobias Götschi Switzerland 15 502 1.3× 66 0.2× 192 0.9× 97 0.9× 160 1.8× 74 733
Kyung‐Sik Ahn South Korea 11 164 0.4× 32 0.1× 86 0.4× 60 0.5× 71 0.8× 46 373
Kyoung Hyup Nam South Korea 11 225 0.6× 20 0.1× 121 0.6× 123 1.1× 75 0.9× 38 476
K. Mizuno Japan 15 558 1.5× 93 0.3× 260 1.2× 220 1.9× 268 3.1× 37 1.0k
Stephen Mellon United Kingdom 25 1.7k 4.3× 99 0.3× 182 0.8× 20 0.2× 58 0.7× 85 1.8k
M. Haubner Germany 8 362 0.9× 213 0.6× 180 0.8× 9 0.1× 45 0.5× 18 551
Anand Vaz India 11 538 1.4× 356 1.1× 235 1.1× 99 0.9× 518 6.0× 35 1.0k
Inès A. Kramers‐de Quervain Switzerland 10 249 0.6× 48 0.1× 190 0.9× 21 0.2× 117 1.3× 11 503

Countries citing papers authored by Felix Liu

Since Specialization
Citations

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

Fields of papers citing papers by Felix Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Liu. A scholar is included among the top collaborators of Felix Liu 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 Felix Liu. Felix Liu 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
1.
Liu, Felix, D. Tskhakaya, S. Costea, et al.. (2025). Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming. Journal of Computational Science. 88. 102590–102590.
3.
Liu, Felix. (2025). Predicting Stroke Risk Based on an Optimized Machine Learning Model. ITM Web of Conferences. 73. 2017–2017.
4.
Tingle, Samuel J, Georgios Kourounis, Felix Liu, et al.. (2024). Simple tool implementing Bucher’s method for indirect treatment comparisons in meta-analyses. BMJ evidence-based medicine. 30(2). 130–133. 2 indexed citations
5.
Ozhinsky, Eugene, Felix Liu, Valentina Pedoia, & Sharmila Majumdar. (2024). Machine learning-based automated scan prescription of lumbar spine MRI acquisitions. Magnetic Resonance Imaging. 110. 29–34. 2 indexed citations
6.
Rubinsky, Anna D., Starley B. Shade, Felix Liu, et al.. (2024). Lessons learned from implementing a diversity, equity, and inclusion curriculum for health research professionals at a large academic research institution. Journal of Clinical and Translational Science. 8(1). e22–e22. 3 indexed citations
7.
Namiri, Nikan K., Jinhee Lee, Bruno A. A. Nunes, et al.. (2021). Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis. Scientific Reports. 11(1). 10915–10915. 25 indexed citations
8.
Calivá, Francesco, et al.. (2021). Uncovering associations between data-driven learned qMRI biomarkers and chronic pain. Scientific Reports. 11(1). 21989–21989. 14 indexed citations
9.
Calivá, Francesco, Felix Liu, Jinhee Lee, et al.. (2020). Learning osteoarthritis imaging biomarkers from bone surface spherical encoding. Magnetic Resonance in Medicine. 84(4). 2190–2203. 43 indexed citations
10.
Liu, Felix, et al.. (2020). Towards understanding mechanistic subgroups of osteoarthritis: 8‐year cartilage thickness trajectory analysis. Journal of Orthopaedic Research®. 39(6). 1305–1317. 22 indexed citations
11.
Schacky, Claudio E. von, Jae Ho Sohn, Felix Liu, et al.. (2020). Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs. Radiology. 295(1). 136–145. 75 indexed citations
12.
Wise, Burton L., Jingbo Niu, Yuqing Zhang, et al.. (2020). Patterns of Change Over Time in Knee Bone Shape Are Associated with Sex. Clinical Orthopaedics and Related Research. 478(7). 1491–1502. 10 indexed citations
13.
Joseph, Gabby B., Charles E. McCulloch, Michael C. Nevitt, et al.. (2019). Associations between alcohol, smoking, and cartilage composition and knee joint morphology: Data from the Osteoarthritis Initiative. SHILAP Revista de lepidopterología. 1(1-2). 100006–100006. 4 indexed citations
14.
Katzman, Wendy B., Nancy E. Lane, Shirley Wong, et al.. (2018). Feasibility and Acceptability of Technology-Based Exercise and Posture Training in Older Adults With Age-Related Hyperkyphosis: Pre-Post Study. JMIR Aging. 2(1). e12199–e12199. 9 indexed citations
15.
Wise, Burton L., Jingbo Niu, Yuqing Zhang, et al.. (2018). Bone shape mediates the relationship between sex and incident knee osteoarthritis. BMC Musculoskeletal Disorders. 19(1). 331–331. 26 indexed citations
16.
Guimarães, Júlio Brandão, Michael C. Nevitt, Charles E. McCulloch, et al.. (2017). Association of weight change with progression of meniscal intrasubstance degeneration over 48 months: Data from the Osteoarthritis Initiative. European Radiology. 28(3). 953–962. 16 indexed citations
17.
Wise, Burton L., Felix Liu, J.A. Lynch, et al.. (2016). The association of distal femur and proximal tibia shape with sex: The Osteoarthritis Initiative. Seminars in Arthritis and Rheumatism. 46(1). 20–26. 17 indexed citations
18.
Nardo, Lorenzo, Neeta Parimi, Felix Liu, et al.. (2015). Femoroacetabular Impingement: Prevalent and Often Asymptomatic in Older Men: The Osteoporotic Fractures in Men Study. Clinical Orthopaedics and Related Research. 473(8). 2578–2586. 31 indexed citations
19.
Jungmann, Pia M., Felix Liu, & Thomas M. Link. (2013). What has imaging contributed to the epidemiological understanding of osteoarthritis?. Skeletal Radiology. 43(3). 271–275. 8 indexed citations
20.
Nardo, Lorenzo, Hamza Alizai, Warapat Virayavanich, et al.. (2012). Lumbosacral Transitional Vertebrae: Association with Low Back Pain. Radiology. 265(2). 497–503. 128 indexed citations

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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