Yuhan Du

814 total citations · 1 hit paper
9 papers, 510 citations indexed

About

Yuhan Du is a scholar working on Artificial Intelligence, Health Informatics and Obstetrics and Gynecology. According to data from OpenAlex, Yuhan Du has authored 9 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Health Informatics and 3 papers in Obstetrics and Gynecology. Recurrent topics in Yuhan Du's work include Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Gestational Diabetes Research and Management (3 papers). Yuhan Du is often cited by papers focused on Machine Learning in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Gestational Diabetes Research and Management (3 papers). Yuhan Du collaborates with scholars based in Ireland and China. Yuhan Du's co-authors include Catherine Mooney, Lan Wei, Anna Markella Antoniadi, Claudia Mazo, Brett A. Becker, Fionnuala M. McAuliffe, Anthony R. Rafferty, Yingjie Niu, Conrad Childs and John J. Walsh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Earth-Science Reviews.

In The Last Decade

Yuhan Du

9 papers receiving 500 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.

Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review

2021 347 citations Anna Markella Antoniadi, Yuhan Du et al. Applied Sciences profile →

Peers

Yuhan Du

AI

HI

HIM

RNMI

PPCH

Anna Markella Antoniadi Ireland

Vajira Thambawita Norway

Girmaw Abebe Tadesse United States

Claudia Mazo Ireland

Peter Schulam United States

Michelle Livne Germany

Malek Hammou Norway

Clara Mosquera-Lopez United States

Artuur Leeuwenberg Netherlands

Khalid Gaffer Mohamed Saudi Arabia

Anna Markella Antoniadi Ireland

Yuhan Du

248 ×0.9

AI

157 ×0.9

HI

59 ×0.8

HIM

61 ×0.9

RNMI

20 ×0.8

PPCH

Citations per year, relative to Yuhan Du Yuhan Du (= 1×) peers Anna Markella Antoniadi

Countries citing papers authored by Yuhan Du

Since Specialization

Citations

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

Fields of papers citing papers by Yuhan Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhan Du. A scholar is included among the top collaborators of Yuhan Du 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 Yuhan Du. Yuhan Du 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:

9 of 9 papers shown

1.

Du, Yuhan, et al.. (2023). Machine learning-based clinical decision support systems for pregnancy care: A systematic review. International Journal of Medical Informatics. 173. 105040–105040. 30 indexed citations

2.

Du, Yuhan, Anthony R. Rafferty, Fionnuala M. McAuliffe, John Mehegan, & Catherine Mooney. (2023). Towards an explainable clinical decision support system for large-for-gestational-age births. PLoS ONE. 18(2). e0281821–e0281821. 5 indexed citations

3.

Niu, Yingjie, Jing Wang, Yuhan Du, et al.. (2023). Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review. Earth-Science Reviews. 243. 104509–104509. 26 indexed citations

4.

Du, Yuhan, Anthony R. Rafferty, Fionnuala M. McAuliffe, Lan Wei, & Catherine Mooney. (2022). An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus. Scientific Reports. 12(1). 1170–1170. 74 indexed citations

5.

Du, Yuhan, et al.. (2022). The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations. Applied Sciences. 12(20). 10323–10323. 20 indexed citations

6.

Antoniadi, Anna Markella, Yuhan Du, Lan Wei, et al.. (2021). Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review. Applied Sciences. 11(11). 5088–5088. 347 indexed citations breakdown →

7.

Ge, Xue‐hui, et al.. (2021). The preparation of peppermint oil/2-hydroxypropyl-β-cyclodextrin/chitosan composite microcapsule and their prolonged retaining ability. Microfluidics and Nanofluidics. 25(2). 4 indexed citations

8.

Du, Yuhan, Anthony R. Rafferty, Fionnuala M. McAuliffe, & Catherine Mooney. (2021). Explaining large-for-gestational-age births. 1–1. 2 indexed citations

9.

Du, Yuhan, John Mehegan, Fionnuala M. McAuliffe, & Catherine Mooney. (2020). Prediction of Large for Gestational Age Infants in Overweight and Obese Women at Approximately 20 Gestational Weeks. Research Repository UCD (University College Dublin). 1–1. 2 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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