Lei Hua

1.7k total citations · 1 hit paper
30 papers, 1.1k citations indexed

About

Lei Hua is a scholar working on Health Information Management, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Lei Hua has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Lei Hua's work include Electronic Health Records Systems (7 papers), Patient Safety and Medication Errors (5 papers) and Energy Load and Power Forecasting (5 papers). Lei Hua is often cited by papers focused on Electronic Health Records Systems (7 papers), Patient Safety and Medication Errors (5 papers) and Energy Load and Power Forecasting (5 papers). Lei Hua collaborates with scholars based in China, United States and Japan. Lei Hua's co-authors include Muhammad Shahzad Nazir, Chu Zhang, Peng Tian, Chunlei Ji, Miroslav Marinov, Patricia Alafaireet, Illhoi Yoo, Changqin Quan, Wei Sun and Huixin Ma and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Lei Hua

28 papers receiving 1.1k citations

Hit Papers

Data Mining in Healthcare and Biomedicine: A Survey of th... 2011 2026 2016 2021 2011 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. Data Mining in Healthcare and Biomedicine: A Survey of the Literature
    2011 371 citations Illhoi Yoo, Patricia Alafaireet et al. Journal of Medical Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Hua China 12 484 325 216 193 80 30 1.1k
Gang Luo United States 25 818 1.7× 179 0.6× 190 0.9× 172 0.9× 122 1.5× 139 2.0k
Mehmet Fatih Akay Türkiye 11 467 1.0× 134 0.4× 141 0.7× 190 1.0× 26 0.3× 56 1.0k
Cătălin Stoean Romania 19 602 1.2× 150 0.5× 70 0.3× 51 0.3× 92 1.1× 75 1.1k
Chao Yan United States 16 310 0.6× 213 0.7× 94 0.4× 46 0.2× 68 0.8× 76 878
Ruxandra Stoean Romania 16 496 1.0× 132 0.4× 71 0.3× 47 0.2× 80 1.0× 71 929
Nejat Yumuşak Türkiye 16 373 0.8× 270 0.8× 263 1.2× 44 0.2× 130 1.6× 56 1.0k
Jacek M. Zurada United States 12 564 1.2× 110 0.3× 88 0.4× 65 0.3× 43 0.5× 37 1.0k
Robert P. Treviño United States 11 833 1.7× 78 0.2× 38 0.2× 222 1.2× 71 0.9× 19 2.6k
Vipin Kumar India 13 597 1.2× 56 0.2× 102 0.5× 98 0.5× 37 0.5× 37 1.1k
Stephen Adams United States 22 503 1.0× 75 0.2× 42 0.2× 62 0.3× 73 0.9× 99 1.9k

Countries citing papers authored by Lei Hua

Since Specialization
Citations

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

Fields of papers citing papers by Lei Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Hua. A scholar is included among the top collaborators of Lei Hua 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 Lei Hua. Lei Hua 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.
Liu, Benli, Xiao Wang, Lei Hua, et al.. (2025). Revolutionizing toxicological risk assessment: integrative advances in new approach methodologies (NAMs) and precision toxicology. Archives of Toxicology. 99(12). 4697–4707. 1 indexed citations
2.
Hua, Lei, Ji-Sook Han, Siqi Zhang, et al.. (2025). Machine learning prediction of post-CABG atrial fibrillation using clinical and pharmacogenomic biomarkers. Frontiers in Medicine. 12. 1650700–1650700.
3.
4.
Xiong, Jinlin, Zihan Tao, Lei Hua, et al.. (2023). An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment process. Journal of Water Process Engineering. 55. 104102–104102. 11 indexed citations
5.
Hua, Lei, Chu Zhang, Wei Sun, et al.. (2022). An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process. ISA Transactions. 136. 139–151. 43 indexed citations
6.
7.
Ren, Fuji, et al.. (2019). Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network. IEEE Access. 7. 101260–101268. 15 indexed citations
8.
Camilleri‐Brennan, Julian, et al.. (2018). What do adolescents want from their ED? An evaluation on the preferences and opinions of adolescents attending local EDs. Emergency Medicine Journal. 35(11). 675–679. 1 indexed citations
9.
Makieva, Sofia, Sara F. Rinaldi, Lei Hua, et al.. (2017). 11β-hydroxysteroid dehydrogenase type 1 and pregnancy: Role in the timing of labour onset and in myometrial contraction. Molecular and Cellular Endocrinology. 447. 79–86. 7 indexed citations
10.
Kang, Hong, et al.. (2017). Enhancing Patient Safety Event Reporting. Applied Clinical Informatics. 8(3). 893–909. 35 indexed citations
11.
Gong, Yang, Lei Hua, & S. Wang. (2016). Leveraging user's performance in reporting patient safety events by utilizing text prediction in narrative data entry. Computer Methods and Programs in Biomedicine. 131. 181–189. 4 indexed citations
12.
Gong, Yang, et al.. (2015). Identifying barriers and benefits of patient safety event reporting toward user-centered design. PubMed. 1(1). 7–7. 24 indexed citations
13.
Hua, Lei. (2014). A User-centered Design of Patient Safety Event Reporting Systems. MOspace Institutional Repository (University of Missouri). 1 indexed citations
14.
Hua, Lei, et al.. (2014). Text Prediction on Structured Data Entry in Healthcare. Applied Clinical Informatics. 5(1). 249–263. 8 indexed citations
15.
Kotani, Tomomi, Seiji Sumigama, Hiroyuki Tsuda, et al.. (2013). Increased expression of sphingosine kinase in the amnion during labor. Placenta. 34(4). 353–359. 9 indexed citations
16.
Hua, Lei & Yang Gong. (2013). Design of a User-Centered Voluntary Patient Safety Reporting System: Understanding the Time and Response Variances by Retrospective Think-aloud Protocols. Studies in health technology and informatics. 192. 729–33. 3 indexed citations
17.
Yoo, Illhoi, et al.. (2011). Data Mining in Healthcare and Biomedicine: A Survey of the Literature. Journal of Medical Systems. 36(4). 2431–2448. 371 indexed citations breakdown →
18.
19.
Wang, Xiangping, et al.. (2010). An analysis of characteristic occupational stressors for medical staff in general hospitals. Zhonghua yiyuan guanli zazhi. 26(4). 257–262.
20.
Hua, Lei & Yang Gong. (2010). Developing a User-centered Voluntary Medical Incident Reporting System. Studies in health technology and informatics. 160(Pt 1). 203–7. 8 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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