Kevin Hwang

463 total citations
11 papers, 209 citations indexed

About

Kevin Hwang is a scholar working on Surgery, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kevin Hwang has authored 11 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 2 papers in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Kevin Hwang's work include Total Knee Arthroplasty Outcomes (5 papers), Orthopaedic implants and arthroplasty (3 papers) and Infectious Diseases and Tuberculosis (2 papers). Kevin Hwang is often cited by papers focused on Total Knee Arthroplasty Outcomes (5 papers), Orthopaedic implants and arthroplasty (3 papers) and Infectious Diseases and Tuberculosis (2 papers). Kevin Hwang collaborates with scholars based in United States. Kevin Hwang's co-authors include Alfred C. Kuo, Joseph T. Patterson, Stefano A. Bini, Ilya Bendich, Musa Zaid, Nicholas J. Giori, Romil Shah, Alex H. S. Harris, Jeffrey R. Starke and Andrea T. Cruz and has published in prestigious journals such as Cancer Research, Physics in Medicine and Biology and The Journal of Arthroplasty.

In The Last Decade

Kevin Hwang

10 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Hwang United States 7 147 32 30 24 20 11 209
Nicolò Rossi Italy 11 113 0.8× 62 1.9× 42 1.4× 23 1.0× 15 0.8× 26 251
Yuqing Qiu United States 10 168 1.1× 20 0.6× 65 2.2× 14 0.6× 13 0.7× 33 265
Bruno Violante Italy 9 189 1.3× 18 0.6× 32 1.1× 15 0.6× 9 0.5× 21 255
Rida A Kassim United States 9 267 1.8× 28 0.9× 29 1.0× 30 1.3× 15 0.8× 16 339
Ashton H. Goldman United States 9 210 1.4× 11 0.3× 13 0.4× 17 0.7× 6 0.3× 33 262
Alex Zhu United States 12 235 1.6× 59 1.8× 21 0.7× 103 4.3× 13 0.7× 23 375
Joydeep Sinha United Kingdom 9 212 1.4× 5 0.2× 75 2.5× 13 0.5× 19 0.9× 21 264
J. Sinha United Kingdom 8 211 1.4× 43 1.3× 186 6.2× 28 1.2× 9 0.5× 20 319
Shadi Shafaghi Iran 9 115 0.8× 36 1.1× 29 1.0× 14 0.6× 13 0.7× 46 268
Viktor Lindgren Sweden 11 426 2.9× 14 0.4× 20 0.7× 21 0.9× 12 0.6× 14 456

Countries citing papers authored by Kevin Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Hwang. A scholar is included among the top collaborators of Kevin Hwang 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 Kevin Hwang. Kevin Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hu, Daniel A., et al.. (2021). What Factors Lead to Racial Disparities in Outcomes After Total Knee Arthroplasty?. Journal of Racial and Ethnic Health Disparities. 9(6). 2317–2322. 29 indexed citations
2.
Harris, Alex H. S., et al.. (2020). Social Determinants of Health and Patient-Reported Outcomes Following Total Hip and Knee Arthroplasty in Veterans. The Journal of Arthroplasty. 35(9). 2357–2362. 53 indexed citations
4.
Shah, Romil, Musa Zaid, Ilya Bendich, et al.. (2019). Optimal Sampling Frequency for Wearable Sensor Data in Arthroplasty Outcomes Research. A Prospective Observational Cohort Trial. The Journal of Arthroplasty. 34(10). 2248–2252. 6 indexed citations
5.
Bini, Stefano A., Romil Shah, Ilya Bendich, et al.. (2019). Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial. The Journal of Arthroplasty. 34(10). 2242–2247. 58 indexed citations
6.
Xia, Zhixin, et al.. (2019). Abstract 1183: High-plex spatial profiling of whole FFPE tissue sections using InSituPlex® technology for discovery applications. Cancer Research. 79(13_Supplement). 1183–1183. 5 indexed citations
7.
Hughes, David, Kevin Hwang, & Lirong Xia. (2015). Computing optimal Bayesian decisions for rank aggregation via MCMC sampling. Uncertainty in Artificial Intelligence. 385–394. 4 indexed citations
8.
Marquez, Lucila, et al.. (2014). Neurologic Deterioration in a Child Undergoing Treatment for Tuberculosis Meningitis. Pediatric Emergency Care. 30(8). 566–567.
9.
Cruz, Andrea T., et al.. (2013). Adolescents With Tuberculosis. The Pediatric Infectious Disease Journal. 32(9). 937–941. 35 indexed citations
10.
Hwang, Kevin, Tianshu Pan, Amit Joshi, et al.. (2006). Influence of excitation light rejection on forward model mismatch in optical tomography. Physics in Medicine and Biology. 51(22). 5889–5902. 8 indexed citations
11.
Cargill, G. S., et al.. (1995). <title>Simulations and experiments on capillary optics for x-ray microbeams</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2516. 120–134. 3 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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