Liangyuan Na

455 total citations
4 papers, 246 citations indexed

About

Liangyuan Na is a scholar working on General Health Professions, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, Liangyuan Na has authored 4 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in General Health Professions, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Numerical Analysis. Recurrent topics in Liangyuan Na's work include Context-Aware Activity Recognition Systems (2 papers), Mobile Health and mHealth Applications (2 papers) and Artificial Intelligence in Healthcare (1 paper). Liangyuan Na is often cited by papers focused on Context-Aware Activity Recognition Systems (2 papers), Mobile Health and mHealth Applications (2 papers) and Artificial Intelligence in Healthcare (1 paper). Liangyuan Na collaborates with scholars based in United States and China. Liangyuan Na's co-authors include Yang Cong, Fangyuan Zhao, Yoshimi Fukuoka, Anil Aswani, Holly Wiberg, Kimberly Villalobos Carballo, Cynthia Zeng, Léonard Boussioux, Luis R. Soenksen and Dimitris Bertsimas and has published in prestigious journals such as JAMA Network Open, npj Digital Medicine and PubMed.

In The Last Decade

Liangyuan Na

4 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangyuan Na United States 3 101 82 49 41 30 4 246
Iain B. McInnes United Kingdom 2 94 0.9× 88 1.1× 48 1.0× 34 0.8× 18 0.6× 3 302
Karlie R. Sharma United States 4 84 0.8× 84 1.0× 36 0.7× 28 0.7× 25 0.8× 7 268
Mira Moukheiber United States 5 64 0.6× 133 1.6× 52 1.1× 42 1.0× 26 0.9× 7 287
Maxine Mackintosh United Kingdom 5 105 1.0× 124 1.5× 46 0.9× 39 1.0× 28 0.9× 10 314
Nikki Marinsek United States 4 76 0.8× 57 0.7× 36 0.7× 20 0.5× 19 0.6× 5 245
Shiva Maleki Varnosfaderani United States 3 67 0.7× 141 1.7× 77 1.6× 26 0.6× 33 1.1× 10 313
René Eber France 3 63 0.6× 143 1.7× 59 1.2× 52 1.3× 28 0.9× 4 248
Yuri Yin‐Moe Aung United Kingdom 2 53 0.5× 157 1.9× 84 1.7× 39 1.0× 39 1.3× 5 266
Huong Lan Thi Nguyen Vietnam 2 69 0.7× 141 1.7× 85 1.7× 35 0.9× 55 1.8× 3 357
Janny Xue Chen Ke Canada 8 61 0.6× 131 1.6× 46 0.9× 41 1.0× 24 0.8× 23 332

Countries citing papers authored by Liangyuan Na

Since Specialization
Citations

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

Fields of papers citing papers by Liangyuan Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangyuan Na

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

All Works

4 of 4 papers shown
1.
Bertsimas, Dimitris, et al.. (2024). The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization. RePEc: Research Papers in Economics. 7(2). 105–141. 2 indexed citations
2.
Soenksen, Luis R., Yu Ma, Cynthia Zeng, et al.. (2022). Integrated multimodal artificial intelligence framework for healthcare applications. npj Digital Medicine. 5(1). 149–149. 145 indexed citations
3.
Bertsimas, Dimitris, Predrag Klasnja, Susan A. Murphy, & Liangyuan Na. (2022). Data-driven Interpretable Policy Construction for Personalized Mobile Health. PubMed. 2022. 13–22. 1 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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