Oscar Li

1.7k total citations
14 papers, 383 citations indexed

About

Oscar Li is a scholar working on Artificial Intelligence, General Health Professions and Urology. According to data from OpenAlex, Oscar Li has authored 14 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in General Health Professions and 2 papers in Urology. Recurrent topics in Oscar Li's work include Explainable Artificial Intelligence (XAI) (3 papers), Sexual function and dysfunction studies (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Oscar Li is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Sexual function and dysfunction studies (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Oscar Li collaborates with scholars based in United States, Czechia and China. Oscar Li's co-authors include Chaofan Chen, Cynthia Rudin, Hao Liu, Peter Hase, Xiaohui Tao, Jonathan K. Su, Alina Jade Barnett, Laurent Vanbever, Prateek Mittal and Jennifer Rexford and has published in prestigious journals such as Academic Medicine, Journal of Adolescent Health and Urology.

In The Last Decade

Oscar Li

7 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oscar Li United States 5 304 101 35 34 34 14 383
Mantas Mazeika United States 5 384 1.3× 136 1.3× 18 0.5× 19 0.6× 22 0.6× 5 442
Nanyi Fei China 5 155 0.5× 141 1.4× 32 0.9× 22 0.6× 13 0.4× 9 302
А.В. Куракин United States 6 284 0.9× 151 1.5× 23 0.7× 6 0.2× 21 0.6× 8 361
V. N. Manjunath Aradhya India 11 153 0.5× 229 2.3× 59 1.7× 9 0.3× 13 0.4× 51 431
Chih‐Kuan Yeh United States 7 348 1.1× 158 1.6× 14 0.4× 14 0.4× 33 1.0× 9 436
Zaid Alyafeai Saudi Arabia 7 374 1.2× 65 0.6× 48 1.4× 15 0.4× 26 0.8× 13 445
Sotiris K. Tasoulis Greece 10 102 0.3× 89 0.9× 15 0.4× 15 0.4× 19 0.6× 47 269
Andrew Trask United Kingdom 5 262 0.9× 38 0.4× 70 2.0× 65 1.9× 18 0.5× 6 354
Yuan‐Yu Tsai Taiwan 12 97 0.3× 299 3.0× 25 0.7× 23 0.7× 30 0.9× 40 486
Mohammed Amine Chikh Algeria 10 138 0.5× 62 0.6× 46 1.3× 6 0.2× 14 0.4× 34 279

Countries citing papers authored by Oscar Li

Since Specialization
Citations

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

Fields of papers citing papers by Oscar Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Li

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

All Works

14 of 14 papers shown
2.
Li, Oscar, Seoho Lee, Andrew J. Cohen, et al.. (2025). Patient reports of motivations and preparation for penile prosthesis among transgender individuals. International Journal of Transgender Health. 27(2). 939–946.
3.
Li, Oscar, et al.. (2024). Antidepressant nonadherence and sexual dysfunction among young adult males: the cross-sectional YAMAN study. World Journal of Urology. 42(1). 295–295.
4.
Li, Oscar, et al.. (2024). Using Instagram to Engage Learners and Build Community. Academic Medicine. 99(5). 586–586.
5.
Gabrielson, Andrew, Oscar Li, & Andrew J. Cohen. (2023). Robotic-Assisted Augmented Roof Ureteroplasty With Appendiceal Onlay Flap. Urology. 176. 243–245. 3 indexed citations
6.
Li, Oscar. (2023). Medical Student Year 1 Reflections. Journal of Adolescent Health. 72(4). 645–645.
8.
Haney, Nora M., Oscar Li, Pranjal Agrawal, et al.. (2023). Prevalence of opioid and benzodiazepine use in adult patients with the exstrophy-epispadias complex. Journal of Pediatric Urology. 19(5). 562.e1–562.e8. 1 indexed citations
9.
Li, Oscar. (2021). Getting the COVID-19 Vaccine. Genetics and Molecular Research. 1(1).
10.
Kogan, Alexis Coulourides, et al.. (2021). Frontline provider perceptions of implementing home‐based palliative care covered by an insurer. Health Services Research. 57(4). 872–880. 4 indexed citations
11.
Chen, Chaofan, Oscar Li, Xiaohui Tao, et al.. (2019). This Looks Like That: Deep Learning for Interpretable Image Recognition. Neural Information Processing Systems. 32. 8928–8939. 76 indexed citations
12.
Hase, Peter, Chaofan Chen, Oscar Li, & Cynthia Rudin. (2019). Interpretable Image Recognition with Hierarchical Prototypes. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7. 32–40. 55 indexed citations
13.
Li, Oscar, Hao Liu, Chaofan Chen, & Cynthia Rudin. (2018). Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 232 indexed citations
14.
Vanbever, Laurent, Oscar Li, Jennifer Rexford, & Prateek Mittal. (2014). Anonymity on QuickSand. 1–7. 12 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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