Shaoze Cui

682 total citations
15 papers, 469 citations indexed

About

Shaoze Cui is a scholar working on Artificial Intelligence, Health Information Management and Sociology and Political Science. According to data from OpenAlex, Shaoze Cui has authored 15 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Health Information Management and 2 papers in Sociology and Political Science. Recurrent topics in Shaoze Cui's work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Shaoze Cui is often cited by papers focused on Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Shaoze Cui collaborates with scholars based in China, United States and Singapore. Shaoze Cui's co-authors include Yanzhang Wang, Dujuan Wang, Yunqiang Yin, Zhiwu Li, Yi Feng, Yaochu Jin, Sutong Wang, T.C.E. Cheng, Huiying Gao and Weiguo Fan and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Applied Soft Computing.

In The Last Decade

Shaoze Cui

15 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shaoze Cui China	11	154	65	45	39	33	15	469
Vadim Borisov Russia	9	223 1.4×	35 0.5×	56 1.2×	30 0.8×	18 0.5×	48	652
Han Yuan Singapore	14	206 1.3×	69 1.1×	74 1.6×	19 0.5×	12 0.4×	55	626
Haitao Yang China	4	150 1.0×	12 0.2×	46 1.0×	26 0.7×	29 0.9×	15	585
Purwanto Purwanto Indonesia	14	182 1.2×	42 0.6×	23 0.5×	19 0.5×	24 0.7×	98	531
Mahmoud B. Alhasanat Jordan	7	156 1.0×	19 0.3×	30 0.7×	33 0.8×	11 0.3×	16	531
Budi Warsito Indonesia	10	197 1.3×	19 0.3×	49 1.1×	15 0.4×	44 1.3×	171	624
Jeffrey Li United States	4	234 1.5×	14 0.2×	25 0.6×	15 0.4×	17 0.5×	5	524
Anil Jadhav India	8	176 1.1×	34 0.5×	37 0.8×	15 0.4×	31 0.9×	25	691
Martin Pawelczyk Germany	2	206 1.3×	33 0.5×	26 0.6×	28 0.7×	7 0.2×	3	432
Banyatsang Mphago Botswana	4	182 1.2×	33 0.5×	32 0.7×	17 0.4×	6 0.2×	5	524

Countries citing papers authored by Shaoze Cui

Since Specialization

Citations

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

Fields of papers citing papers by Shaoze Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoze Cui

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

15 of 15 papers shown

Gao, Ruize, et al.. (2025). Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework. Financial Innovation. 11(1). 3 indexed citations

Cui, Shaoze, et al.. (2025). An interpretable imbalance ensemble classification method for readmission risk assessment incorporating multi-view perturbation and SHAP analysis. Decision Support Systems. 190. 114404–114404. 2 indexed citations

Wang, Sutong, et al.. (2023). Expanded feature space-based gradient boosting ensemble learning for risk prediction of type 2 diabetes complications. Applied Soft Computing. 144. 110451–110451. 10 indexed citations

Cui, Shaoze, Dujuan Wang, Yunqiang Yin, et al.. (2022). Carbon trading price prediction based on a two-stage heterogeneous ensemble method. Annals of Operations Research. 345(2-3). 953–977. 10 indexed citations

Gao, Ruize, et al.. (2022). Integrating the sentiments of multiple news providers for stock market index movement prediction: A deep learning approach based on evidential reasoning rule. Information Sciences. 615. 529–556. 14 indexed citations

Cui, Shaoze, et al.. (2022). A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China. IEEE Transactions on Intelligent Transportation Systems. 23(10). 18681–18694. 23 indexed citations

Cui, Shaoze, et al.. (2022). UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3418–3421. 5 indexed citations

Cui, Shaoze, et al.. (2021). A two-layer nested heterogeneous ensemble learning predictive method for COVID-19 mortality. Applied Soft Computing. 113. 107946–107946. 24 indexed citations

Wang, Ning, et al.. (2021). A hybrid ensemble learning method for the identification of gang-related arson cases. Knowledge-Based Systems. 218. 106875–106875. 16 indexed citations

10.

Cui, Shaoze, et al.. (2021). Two-stage stacking heterogeneous ensemble learning method for gasoline octane number loss prediction. Applied Soft Computing. 113. 107989–107989. 18 indexed citations

11.

Cui, Shaoze, et al.. (2021). A cluster-based intelligence ensemble learning method for classification problems. Information Sciences. 560. 386–409. 30 indexed citations

12.

Cui, Shaoze, et al.. (2020). Adverse drug reaction detection on social media with deep linguistic features. Journal of Biomedical Informatics. 106. 103437–103437. 23 indexed citations

13.

Cui, Shaoze, Yunqiang Yin, Dujuan Wang, Zhiwu Li, & Yanzhang Wang. (2020). A stacking-based ensemble learning method for earthquake casualty prediction. Applied Soft Computing. 101. 107038–107038. 163 indexed citations

14.

Feng, Yi & Shaoze Cui. (2020). A review of emergency response in disasters: present and future perspectives. Natural Hazards. 105(1). 1109–1138. 47 indexed citations

15.

Cui, Shaoze, et al.. (2018). An improved support vector machine-based diabetic readmission prediction. Computer Methods and Programs in Biomedicine. 166. 123–135. 81 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.

Explore authors with similar magnitude of impact