Haohui Lu

1.4k total citations · 1 hit paper
27 papers, 836 citations indexed

About

Haohui Lu is a scholar working on Artificial Intelligence, Health Information Management and Epidemiology. According to data from OpenAlex, Haohui Lu has authored 27 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Health Information Management and 8 papers in Epidemiology. Recurrent topics in Haohui Lu's work include Machine Learning in Healthcare (10 papers), Artificial Intelligence in Healthcare (9 papers) and Chronic Disease Management Strategies (5 papers). Haohui Lu is often cited by papers focused on Machine Learning in Healthcare (10 papers), Artificial Intelligence in Healthcare (9 papers) and Chronic Disease Management Strategies (5 papers). Haohui Lu collaborates with scholars based in Australia, United States and United Kingdom. Haohui Lu's co-authors include Shahadat Uddin, Mohammad Ali Moni, Ergun Gide, Farshid Hajati, Matloob Khushi, Arif Khan, Bo Wang, Xiaoling Li, Yu Zheng and Xin Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Haohui Lu

25 papers receiving 805 citations

Hit Papers

Comparative performance analysis of K-nearest neighbour (... 2022 2026 2023 2024 2022 100 200 300
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.

  1. Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
    2022 382 citations Shahadat Uddin, Haohui Lu et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haohui Lu Australia 12 272 195 83 82 69 27 836
Abir Hussain United Kingdom 14 351 1.3× 181 0.9× 88 1.1× 103 1.3× 99 1.4× 47 1.3k
S. Vimal India 19 376 1.4× 158 0.8× 93 1.1× 40 0.5× 119 1.7× 68 1.2k
Ahmed J. Aljaaf United Kingdom 12 294 1.1× 188 1.0× 56 0.7× 27 0.3× 84 1.2× 34 924
Mohammed Alzahrani Saudi Arabia 15 310 1.1× 222 1.1× 53 0.6× 36 0.4× 121 1.8× 59 1.0k
Jinwook Choi South Korea 17 272 1.0× 103 0.5× 86 1.0× 49 0.6× 68 1.0× 93 1.0k
Md Ekramul Hossain Australia 8 353 1.3× 310 1.6× 80 1.0× 127 1.5× 201 2.9× 13 1.3k
Ahmed M. Elshewey Egypt 21 308 1.1× 149 0.8× 36 0.4× 39 0.5× 97 1.4× 56 976
Mohamed Alloghani United Kingdom 10 259 1.0× 146 0.7× 37 0.4× 24 0.3× 68 1.0× 30 817
Ernesto Iadanza Italy 17 133 0.5× 163 0.8× 127 1.5× 44 0.5× 89 1.3× 77 878
Lei Hua China 12 484 1.8× 216 1.1× 35 0.4× 45 0.5× 22 0.3× 30 1.1k

Countries citing papers authored by Haohui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haohui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haohui Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Haohui Lu. A scholar is included among the top collaborators of Haohui Lu 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 Haohui Lu. Haohui Lu 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.
Lu, Haohui, et al.. (2025). Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications. Artificial Intelligence in Medicine. 168. 103216–103216. 1 indexed citations
2.
3.
Uddin, Shahadat, Haohui Lu, Ashfaqur Rahman, & Junbin Gao. (2024). A novel approach for assessing fairness in deployed machine learning algorithms. Scientific Reports. 14(1). 17753–17753. 2 indexed citations
4.
Uddin, Shahadat, et al.. (2024). Machine learning and deep learning in project analytics: methods, applications and research trends. Production Planning & Control. 36(7). 873–892. 4 indexed citations
5.
Uddin, Shahadat, Arif Khan, Haohui Lu, et al.. (2024). Road networks and socio-demographic factors to explore COVID-19 infection during its different waves. Scientific Reports. 14(1). 1551–1551. 7 indexed citations
6.
Uddin, Shahadat & Haohui Lu. (2024). Dataset meta-level and statistical features affect machine learning performance. Scientific Reports. 14(1). 1670–1670. 32 indexed citations
7.
Uddin, Shahadat & Haohui Lu. (2024). Confirming the statistically significant superiority of tree-based machine learning algorithms over their counterparts for tabular data. PLoS ONE. 19(4). e0301541–e0301541. 32 indexed citations
8.
9.
Lu, Haohui & Shahadat Uddin. (2024). A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. Neurocomputing. 593. 127820–127820. 4 indexed citations
10.
Uddin, Shahadat, Arif Khan, & Haohui Lu. (2023). Impact of COVID-19 on Journal Impact Factor. Journal of Informetrics. 17(4). 101458–101458. 2 indexed citations
11.
Lu, Haohui & Shahadat Uddin. (2023). Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends. Healthcare. 11(7). 1031–1031. 24 indexed citations
12.
Lu, Haohui, et al.. (2022). A machine learning software tool for multiclass classification. Software Impacts. 13. 100383–100383. 5 indexed citations
13.
Uddin, Shahadat, et al.. (2022). Suburban Road Networks to Explore COVID-19 Vulnerability and Severity. International Journal of Environmental Research and Public Health. 19(4). 2039–2039. 11 indexed citations
14.
Lu, Haohui & Shahadat Uddin. (2022). Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Information Science and Systems. 11(1). 2–2. 10 indexed citations
15.
Lu, Haohui & Shahadat Uddin. (2022). Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Information. 13(9). 436–436. 12 indexed citations
16.
Uddin, Shahadat, et al.. (2022). Comparing the Impact of Road Networks on COVID-19 Severity between Delta and Omicron Variants: A Study Based on Greater Sydney (Australia) Suburbs. International Journal of Environmental Research and Public Health. 19(11). 6551–6551. 5 indexed citations
17.
Uddin, Shahadat, et al.. (2022). Machine learning in project analytics: a data-driven framework and case study. Scientific Reports. 12(1). 15252–15252. 42 indexed citations
18.
Uddin, Shahadat, et al.. (2022). Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Scientific Reports. 12(1). 6256–6256. 382 indexed citations breakdown →
19.
Lu, Haohui & Shahadat Uddin. (2021). A weighted patient network-based framework for predicting chronic diseases using graph neural networks. Scientific Reports. 11(1). 22607–22607. 47 indexed citations
20.
Zheng, Yu, Bo Wang, Yue Wu, et al.. (2021). Melt extrusion deposition (MED™) 3D printing technology – A paradigm shift in design and development of modified release drug products. International Journal of Pharmaceutics. 602. 120639–120639. 58 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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