Zhubo Jiang

547 total citations
5 papers, 65 citations indexed

About

Zhubo Jiang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Zhubo Jiang has authored 5 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Zhubo Jiang's work include Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Zhubo Jiang is often cited by papers focused on Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Zhubo Jiang collaborates with scholars based in Singapore, United States and Sweden. Zhubo Jiang's co-authors include Carolyn S.P. Lam, Wouter Ouwerkerk, Matthew Frost, Justin A. Ezekowitz, Kevin Desai, Yoran M. Hummel, Patricia A. Pellikka, Mayank Kansal, Hema Krishna and Chung‐Lieh Hung and has published in prestigious journals such as Journal of the American College of Cardiology, Neurology and JACC. Cardiovascular imaging.

In The Last Decade

Zhubo Jiang

4 papers receiving 63 citations

Peers

Zhubo Jiang

CCM

RNMI

HI

SURGE

PRM

Alastair Mobley United Kingdom

Kavitha Vimalesvaran United Kingdom

Yaacoub Chahine United States

Laura García Spain

Antoine Hutt France

Tomoyo Hamana Japan

Nada Shaban United States

N Boskovic Serbia

Wadi Kinany Israel

Vladimir Manenti France

Alastair Mobley United Kingdom

Zhubo Jiang

59 ×1.3

CCM

12 ×0.3

RNMI

11 ×0.9

HI

6 ×0.6

SURGE

5 ×0.6

PRM

Citations per year, relative to Zhubo Jiang Zhubo Jiang (= 1×) peers Alastair Mobley

Countries citing papers authored by Zhubo Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Zhubo Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhubo Jiang

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

All Works

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5 of 5 papers shown

1.

Jiang, Zhubo, et al.. (2025). VALIDATION OF A DEEP LEARNING-BASED ALGORITHM IN QUANTIFYING TRICUSPID VALVE REGURGITATION. Journal of the American College of Cardiology. 85(12). 2066–2066.

2.

Sadeghpour, Anita, Zhubo Jiang, Yoran M. Hummel, et al.. (2024). An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading. JACC. Cardiovascular imaging. 18(1). 1–12. 9 indexed citations

3.

Krishna, Hema, Kevin Desai, Wouter Ouwerkerk, et al.. (2023). Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography. Journal of the American Society of Echocardiography. 36(7). 769–777. 35 indexed citations

4.

Myhre, Peder L., Chung‐Lieh Hung, Matthew Frost, et al.. (2023). External validation of a deep learning algorithm for automated echocardiographic strain measurements. European Heart Journal - Digital Health. 5(1). 60–68. 18 indexed citations

5.

Biousse, Valérie, Raymond P. Najjar, Zhubo Jiang, et al.. (2020). The Brain and Optic Nerve Study with Artificial Intelligence (BONSAI): A Deep Learning System to Detect Papilledema on Ocular Fundus Photography (2743). Neurology. 94(15_supplement). 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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