Z. Wu

3.0k total citations
4 papers, 11 citations indexed

About

Z. Wu is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Management Information Systems. According to data from OpenAlex, Z. Wu has authored 4 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Management Information Systems. Recurrent topics in Z. Wu's work include ECG Monitoring and Analysis (1 paper), AI and Big Data Applications (1 paper) and Supply Chain and Inventory Management (1 paper). Z. Wu is often cited by papers focused on ECG Monitoring and Analysis (1 paper), AI and Big Data Applications (1 paper) and Supply Chain and Inventory Management (1 paper). Z. Wu collaborates with scholars based in China, Malaysia and Serbia. Z. Wu's co-authors include Caixia Guo, Honglu Zhu, Hongyu Pan and Michel A. Kinsy and has published in prestigious journals such as Scientific Reports, IEEE Access and Finance research letters.

In The Last Decade

Z. Wu

4 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Z. Wu China	2	6	3	1	1	1	4	11
Mostafa Nawar Egypt	3	9 1.5×	2 0.7×				5	11
Bryan S. Quintanilla Rodriguez United States	3	8 1.3×	3 1.0×				4	12
Hitoshi Matsuo Japan	2	5 0.8×					7	5
O. S. Sychov Ukraine	2	6 1.0×					11	9
Elisabeth Ballant Belgium	2	7 1.2×					3	7
Rahima Gabulova Azerbaijan	2	4 0.7×					2	8
Diogo D F Moia Australia	2	4 0.7×					2	5
Y. Jo South Korea	1	5 0.8×					2	7
Tarekegn Hiwot United Kingdom	2	4 0.7×					3	9
Guy Van Camp Belgium	2	4 0.7×					5	4

Countries citing papers authored by Z. Wu

Since Specialization

Citations

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

Fields of papers citing papers by Z. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Z. Wu. A scholar is included among the top collaborators of Z. Wu 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 Z. Wu. Z. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Wu, Z., et al.. (2025). The data visualization and intelligent text analysis for effective evaluation of English language teaching. Scientific Reports. 15(1). 22737–22737. 1 indexed citations

2.

Zhu, Honglu, et al.. (2025). Green Factory Certification, information asymmetry, and stock liquidity. Finance research letters. 85. 107816–107816. 2 indexed citations

3.

Wu, Z. & Caixia Guo. (2025). Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management. BioMedical Engineering OnLine. 24(1). 23–23. 7 indexed citations

4.

Wu, Z., et al.. (2025). GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks. IEEE Access. 13. 61483–61510. 1 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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