Haohui Lu
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Machine Learning in Healthcare 10
- Machine Learning and Data Classification 4
- Imbalanced Data Classification Techniques 3
-
- Artificial Intelligence in Healthcare 9
- Co-authors
- Shahadat Uddin (25 shared papers)Mohammad Ali Moni (4 shared papers)Ergun Gide (1 shared paper)Farshid Hajati (5 shared papers)Matloob Khushi (4 shared papers)Arif Khan (7 shared papers)Bo Wang (1 shared paper)Xianghao Zuo (1 shared paper)
- Journals
- Scientific Reports (6 papers)International Journal of Environmental Research and Public Health (2 papers)Production Planning & Control (2 papers)Applied Intelligence (2 papers)PLoS ONE (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Haohui Lu
25 papers receiving 805 citations
Haohui Lu's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Information Management 195
- Health Informatics 29
- Artificial Intelligence 272
- Automotive Engineering 48
- Building and Construction 41
Countries citing papers authored by Haohui Lu
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
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-authors
The 22 scholars most cited alongside Haohui Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction Hit paper breakdown → | 2022 | 382 |
| 2 | 2021 | 89 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 47 | |
| 5 | 2022 | 42 | |
| 6 | 2024 | 32 | |
| 7 | 2024 | 32 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Haohui Lu
Haohui Lu is a scholar working on Artificial Intelligence, Health Information Management, Epidemiology, Molecular Biology and Information Systems, having authored 27 papers that have together received 836 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (10 papers), Artificial Intelligence in Healthcare (9 papers), Chronic Disease Management Strategies (5 papers), Machine Learning and Data Classification (4 papers), Imbalanced Data Classification Techniques (3 papers), COVID-19 epidemiological studies (3 papers), BIM and Construction Integration (3 papers) and Mental Health via Writing (2 papers). The work is most often cited by research in Health Information Management (195 citations), Health Informatics (29 citations), Artificial Intelligence (272 citations), Automotive Engineering (48 citations) and Building and Construction (41 citations). Haohui Lu has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Shahadat Uddin, Mohammad Ali Moni, Ergun Gide, Farshid Hajati, Matloob Khushi, Arif Khan, Bo Wang, Xianghao Zuo, Yue Wu and Xin Liu. Their work appears in journals such as Scientific Reports, International Journal of Environmental Research and Public Health, Production Planning & Control, Applied Intelligence and PLoS ONE.
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.