Xiaoxuan Liu

13.4k total citations · 3 hit papers
115 papers, 4.1k citations indexed

About

Xiaoxuan Liu is a scholar working on Ophthalmology, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoxuan Liu has authored 115 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ophthalmology, 30 papers in Health Informatics and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoxuan Liu's work include Artificial Intelligence in Healthcare and Education (30 papers), Retinal and Optic Conditions (26 papers) and Ocular Diseases and Behçet’s Syndrome (19 papers). Xiaoxuan Liu is often cited by papers focused on Artificial Intelligence in Healthcare and Education (30 papers), Retinal and Optic Conditions (26 papers) and Ocular Diseases and Behçet’s Syndrome (19 papers). Xiaoxuan Liu collaborates with scholars based in United Kingdom, United States and China. Xiaoxuan Liu's co-authors include Alastair K. Denniston, Pearse A. Keane, Livia Faes, Siegfried K. Wagner, Konstantinos Balaskas, Melanie Calvert, Lina Song, Alessandra Guariglia, Samantha Cruz Rivera and Dun Jack Fu and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Xiaoxuan Liu

106 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019 1.0k citations Xiaoxuan Liu, Livia Faes et al. profile →
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability

2020 196 citations Xiaoxuan Liu, Edward Korot et al. profile →
Green space and cardiovascular disease: A systematic review with meta-analysis

2022 125 citations Xiaoxuan Liu, Bo‐Yi Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoxuan Liu United Kingdom	23	1.5k	1.2k	841	667	378	115	4.1k
Ziad Obermeyer United States	34	1.3k 0.9×	2.4k 2.0×	2.0k 2.3×	81 0.1×	762 2.0×	71	9.3k
Dominic King United Kingdom	27	745 0.5×	819 0.7×	672 0.8×	71 0.1×	204 0.5×	64	4.2k
Christopher Kelly United Kingdom	28	943 0.6×	729 0.6×	481 0.6×	272 0.4×	82 0.2×	123	3.7k
I. Glenn Cohen United States	37	630 0.4×	1.6k 1.4×	978 1.2×	52 0.1×	356 0.9×	244	5.9k
Fei Jiang United States	10	792 0.5×	1.1k 0.9×	728 0.9×	55 0.1×	62 0.2×	31	2.7k
Eliot L. Siegel United States	39	2.4k 1.7×	589 0.5×	627 0.7×	64 0.1×	73 0.2×	223	5.4k
Alastair K. Denniston United Kingdom	42	2.3k 1.6×	1.3k 1.1×	917 1.1×	2.8k 4.3×	134 0.4×	221	6.6k
Hui Zhi China	2	722 0.5×	1.1k 0.9×	714 0.8×	55 0.1×	59 0.2×	5	2.5k
Sally L. Baxter United States	20	854 0.6×	879 0.8×	532 0.6×	555 0.8×	61 0.2×	124	2.7k
Brian W. Powers United States	19	442 0.3×	1.2k 1.1×	902 1.1×	34 0.1×	478 1.3×	56	4.1k

Countries citing papers authored by Xiaoxuan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoxuan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxuan Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ong, Ariel Yuhan, Aditya U. Kale, Eliot R. Dow, et al.. (2025). A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. npj Digital Medicine. 8(1). 323–323. 6 indexed citations

Riley, Richard D, Gary S. Collins, Kym I E Snell, et al.. (2025). Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches. BMJ. 388. e080749–e080749. 5 indexed citations

Gu, Wenyu, et al.. (2024). Integrative Human Genetic and Cellular Analysis of the Pathophysiological Roles of AnxA2 in Alzheimer’s Disease. Antioxidants. 13(10). 1274–1274. 2 indexed citations

Kale, Aditya U., Henry David Jeffry Hogg, Ben Glocker, et al.. (2024). AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review. JMIR Research Protocols. 13. e48156–e48156. 1 indexed citations

Lü, Hou-Jun, et al.. (2024). Neutrino Constraints and Detection Prospects from Gamma-Ray Bursts with Different Jet Compositions. The Astrophysical Journal. 976(2). 174–174. 2 indexed citations

Liu, Xiaoxuan, Joseph Alderman, & Elinor Laws. (2024). A Global Health Data Divide. NEJM AI. 1(6). 2 indexed citations

Ong, Ariel Yuhan, Henry David Jeffry Hogg, Aditya U. Kale, et al.. (2024). AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices. JMIR Research Protocols. 13. e52602–e52602. 5 indexed citations

Dinnes, Jacqueline, Gregory Maniatopoulos, Sian Taylor‐Phillips, et al.. (2024). Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study. JMIR Research Protocols. 13. e50568–e50568. 2 indexed citations

Ma, Weizhi, Bin Sheng, Yang Liu, et al.. (2024). Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health. NEJM AI. 1(8). 10 indexed citations

10.

Ji, Weidong, Yushan Wang, Xiaoxuan Liu, et al.. (2023). Exposure to ambient air pollution and chronic bronchitis: Findings from over 6.6 million adults in northwestern China. Chemosphere. 350. 140993–140993. 3 indexed citations

11.

Liu, Xiaoxuan, et al.. (2023). The jet composition of GRB 230307A: Poynting-flux-dominated outflow?. Monthly Notices of the Royal Astronomical Society Letters. 529(1). L67–L72. 10 indexed citations

12.

McCradden, Melissa D., Shalmali Joshi, Kagiso Ndlovu, et al.. (2023). What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning. 1505–1519. 11 indexed citations

13.

Koller, Daphne, Andrew L. Beam, Arjun K. Manrai, et al.. (2023). Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions. NEJM AI. 1(1). 33 indexed citations

14.

O’Donovan, Charles, Olalekan Lee Aiyegbusi, Xiaoxuan Liu, et al.. (2023). Evaluating patient-reported outcome measures (PROMs) for future clinical trials in adult patients with optic neuritis. Eye. 37(15). 3097–3107. 3 indexed citations

15.

Liu, Xiaoxuan, et al.. (2022). Method for developing and using high quality reference images to evaluate tone mapping operators. Journal of the Optical Society of America A. 39(6). B11–B11. 3 indexed citations

16.

Ibrahim, Hussein, et al.. (2022). Opportunities and Risks of UK Medical Device Reform. Therapeutic Innovation & Regulatory Science. 56(4). 596–606. 6 indexed citations

17.

Ibrahim, Hussein, Xiaoxuan Liu, & Alastair K. Denniston. (2021). Reporting guidelines for artificial intelligence in healthcare research. Clinical and Experimental Ophthalmology. 49(5). 470–476. 41 indexed citations

18.

Korot, Edward, Daniel Ferraz, Siegfried K. Wagner, et al.. (2021). Code-free deep learning for multi-modality medical image classification. Nature Machine Intelligence. 3(4). 288–298. 115 indexed citations

19.

Terheyden, Jan Henrik, Giovanni Ometto, Giovanni Montesano, et al.. (2021). Automated quantification of posterior vitreous inflammation: optical coherence tomography scan number requirements. Scientific Reports. 11(1). 3271–3271. 5 indexed citations

20.

Chen, Changfeng, Yue Hu, & Xiaoxuan Liu. (2019). Research on the integration of theory and practice of financial management teaching under the background of deepening the integration of industry and education. 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.

Explore authors with similar magnitude of impact