Aixia Guo

404 total citations
29 papers, 243 citations indexed

About

Aixia Guo is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Aixia Guo has authored 29 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 7 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in Aixia Guo's work include Machine Learning in Healthcare (7 papers), Cardiovascular Function and Risk Factors (4 papers) and Carbon Dioxide Capture Technologies (4 papers). Aixia Guo is often cited by papers focused on Machine Learning in Healthcare (7 papers), Cardiovascular Function and Risk Factors (4 papers) and Carbon Dioxide Capture Technologies (4 papers). Aixia Guo collaborates with scholars based in United States, China and Mexico. Aixia Guo's co-authors include Randi E. Foraker, Michael K. Pasque, Philip Payne, James R. Langabeer, Brian P. Cupps, Yosef Khan, Nikhilesh R. Mazumder, Douglas L. Mann, Daniela P. Ladner and Robert M. MacGregor and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Aixia Guo

26 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aixia Guo United States 10 84 64 60 38 35 29 243
Yinglai Liu China 8 74 0.9× 69 1.1× 39 0.7× 12 0.3× 19 0.5× 17 273
Molei Yan China 8 98 1.2× 34 0.5× 36 0.6× 20 0.5× 58 1.7× 19 283
Alberto Comesaña-Campos Spain 11 66 0.8× 30 0.5× 15 0.3× 14 0.4× 4 0.1× 32 238
Saqib Ejaz Awan Australia 5 90 1.1× 80 1.3× 106 1.8× 19 0.5× 32 0.9× 8 256
Mathias Vassard Olsen Denmark 5 155 1.8× 37 0.6× 36 0.6× 9 0.2× 47 1.3× 5 315
Ju Gao China 10 135 1.6× 42 0.7× 31 0.5× 17 0.4× 27 0.8× 29 242
Meghavi Rana India 6 107 1.3× 48 0.8× 12 0.2× 19 0.5× 15 0.4× 11 253
Abdullah M. Albarrak Saudi Arabia 7 71 0.8× 50 0.8× 20 0.3× 14 0.4× 8 0.2× 22 194
David A. Mong United States 5 89 1.1× 12 0.2× 9 0.1× 20 0.5× 17 0.5× 11 232
Anna Lis Poland 4 35 0.4× 14 0.2× 8 0.1× 12 0.3× 16 0.5× 11 198

Countries citing papers authored by Aixia Guo

Since Specialization
Citations

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

Fields of papers citing papers by Aixia Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aixia Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Aixia Guo. A scholar is included among the top collaborators of Aixia Guo 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 Aixia Guo. Aixia Guo 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.
Guo, Aixia, et al.. (2025). Surface modification of CoMoO4 microrod arrays: Highly efficient electrocatalysts for alkaline overall water splitting. International Journal of Hydrogen Energy. 111. 513–523. 5 indexed citations
2.
3.
Sun, Yaxin, Zhen Yang, Boqin Li, et al.. (2025). Fe-FeOx nanoparticles anchored on nitrogen-doped carbon support: A robust bifunctional catalyst for zinc-air batteries. Journal of Colloid and Interface Science. 704(Pt 1). 139320–139320.
4.
Guo, Aixia, Wei Yang, Xueqin Li, et al.. (2025). Effect of Li2SiO3 and Li8SiO6 components on multicycle CO2 capture performance of Li4SiO4. Fuel. 395. 135174–135174. 1 indexed citations
5.
Guo, Aixia, et al.. (2024). Enhanced high temperature cyclic CO2 capture on Li4SiO4 sorbent from two-dimensional SiO2 nanomeshes. Chemical Engineering Journal. 485. 149943–149943. 11 indexed citations
6.
Tang, Ying, et al.. (2024). Enhanced CO2 adsorption properties with bimetallic ZnCe-MOF prepared using a microchannel reactor. Frontiers of Chemical Science and Engineering. 19(2). 1 indexed citations
7.
Guo, Aixia, Zhen Yang, Qiang Wang, et al.. (2024). Synthesis of highly stable Li4SiO4-based CO2 sorbents using polysilicon by-product SiCl4 as raw material. Chemical Engineering Journal. 500. 157055–157055. 5 indexed citations
8.
Heaton, Jeff, Aixia Guo, Brian P. Cupps, et al.. (2022). Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients. JACC Heart Failure. 10(9). 637–647. 15 indexed citations
9.
Foraker, Randi E., et al.. (2021). The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data. Journal of Medical Internet Research. 23(10). e30697–e30697. 13 indexed citations
10.
Guo, Aixia, Yosef Khan, James R. Langabeer, & Randi E. Foraker. (2021). Discovering disease–disease associations using electronic health records in The Guideline Advantage (TGA) dataset. Scientific Reports. 11(1). 20969–20969. 2 indexed citations
11.
Guo, Aixia, Nikhilesh R. Mazumder, Daniela P. Ladner, & Randi E. Foraker. (2021). Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning. PLoS ONE. 16(8). e0256428–e0256428. 29 indexed citations
12.
Guo, Aixia, Sakima A. Smith, Yosef Khan, James R. Langabeer, & Randi E. Foraker. (2021). Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records. PLoS ONE. 16(9). e0239007–e0239007. 12 indexed citations
13.
14.
Guo, Aixia, Kathleen W. Zhang, Kristi Reynolds, & Randi E. Foraker. (2020). Coronary heart disease and mortality following a breast cancer diagnosis. BMC Medical Informatics and Decision Making. 20(1). 88–88. 8 indexed citations
15.
Guo, Aixia, Bettina F. Drake, Yosef Khan, James R. Langabeer, & Randi E. Foraker. (2020). Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage. PLoS ONE. 15(8). e0236836–e0236836. 1 indexed citations
16.
MacGregor, Robert M., Aixia Guo, Muhammad Masood, et al.. (2020). Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using Regional Left Ventricular Multiparametric Strain. Annals of Biomedical Engineering. 49(2). 922–932. 12 indexed citations
17.
Guo, Aixia, et al.. (2013). Color feature analysis and recognition for litchi fruits and their main fruit bearing branch based on exploratory analysis. Nongye gongcheng xuebao. 2013(4). 191–198. 3 indexed citations
18.
Chen, Keyin, Xiangjun Zou, Juntao Xiong, et al.. (2013). Improved fruit fuzzy clustering image segmentation algorithm based on visual saliency. Nongye gongcheng xuebao. 2013(6). 9 indexed citations
19.
Xiong, Juntao, et al.. (2011). Recognition of mature litchi in natural environment based on machine vision.. Transactions of the Chinese Society of Agricultural Machinery. 42(9). 162–166. 11 indexed citations
20.

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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