Shuning Wu

412 total citations
13 papers, 263 citations indexed

About

Shuning Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Infectious Diseases. According to data from OpenAlex, Shuning Wu has authored 13 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Infectious Diseases. Recurrent topics in Shuning Wu's work include Vehicle License Plate Recognition (2 papers), Privacy, Security, and Data Protection (2 papers) and Network Security and Intrusion Detection (2 papers). Shuning Wu is often cited by papers focused on Vehicle License Plate Recognition (2 papers), Privacy, Security, and Data Protection (2 papers) and Network Security and Intrusion Detection (2 papers). Shuning Wu collaborates with scholars based in China, United States and Canada. Shuning Wu's co-authors include Sigurður Ólafsson, Xiaonan Li, Ningwei Liu, Xiao‐Bai Li, Dan Zhu, Huaqiang Li, Yamei Liu, Yi Zhang, Yang Zhou and Jing Liu and has published in prestigious journals such as European Journal of Operational Research, Applied Microbiology and Biotechnology and Decision Support Systems.

In The Last Decade

Shuning Wu

12 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuning Wu China 5 127 81 46 37 36 13 263
Óscar Marbán Spain 6 78 0.6× 110 1.4× 62 1.3× 50 1.4× 37 1.0× 13 310
Mohammed Ramdani Morocco 8 108 0.9× 81 1.0× 57 1.2× 25 0.7× 16 0.4× 67 283
Renato José Sassi Brazil 9 109 0.9× 84 1.0× 75 1.6× 22 0.6× 75 2.1× 40 290
Irene Teinemaa Estonia 8 103 0.8× 104 1.3× 50 1.1× 100 2.7× 19 0.5× 11 315
Ahmed Awad Egypt 11 170 1.3× 256 3.2× 103 2.2× 38 1.0× 37 1.0× 45 407
Tri-Dung Nguyen United Kingdom 11 59 0.5× 39 0.5× 37 0.8× 90 2.4× 32 0.9× 33 303
Antonia Azzini Italy 9 103 0.8× 78 1.0× 38 0.8× 44 1.2× 38 1.1× 37 260
Antonio Hernando Spain 7 140 1.1× 270 3.3× 37 0.8× 52 1.4× 21 0.6× 14 372
Fabiana Fournier Israel 9 116 0.9× 133 1.6× 110 2.4× 32 0.9× 51 1.4× 24 325
Jisong Kou China 9 136 1.1× 48 0.6× 31 0.7× 37 1.0× 10 0.3× 26 296

Countries citing papers authored by Shuning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuning Wu

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

All Works

13 of 13 papers shown
1.
Wu, Shuning, Yongping Su, Huoqing Huang, et al.. (2024). Mining and rational design of psychrophilic catalases using metagenomics and deep learning models. Applied Microbiology and Biotechnology. 108(1). 31–31.
2.
Li, Xinying, Xiaoning Liu, Xiaojuan Chen, et al.. (2024). Leukocyte mitochondrial DNA copy number and cardiovascular disease: A systematic review and meta-analysis of cohort studies. iScience. 27(9). 110522–110522. 5 indexed citations
3.
Zhou, Yang, et al.. (2024). Rabies vaccination adherence and associated factors among rabies-exposed patients in Shenzhen, China: a hospital-based cross-sectional study. Epidemiology and Infection. 152. e15–e15. 2 indexed citations
4.
Liu, Jing, et al.. (2023). Analysis of Symptom Spectra and Associated Factors Among 536 Respondents During the COVID-19 Epidemic in China: A Cross-Sectional Study. Journal of Multidisciplinary Healthcare. Volume 16. 3261–3272. 1 indexed citations
5.
Wu, Shuning, et al.. (2022). A Vehicle Line-Pressing Detection Approach Based on YOLOv5 and DeepSort. 1745–1749. 2 indexed citations
6.
Li, Huaqiang, et al.. (2022). An improved deep learning algorithm in enabling load data classification for power system. Frontiers in Energy Research. 10. 3 indexed citations
7.
Wu, Shuning, et al.. (2019). Risky Host Detection with Bias Reduced Semi-Supervised Learning. 34–40. 3 indexed citations
8.
9.
Wu, Shuning, et al.. (2017). A user-centric machine learning framework for cyber security operations center. 173–175. 46 indexed citations
10.
Wu, Shuning. (2009). Better Decision Tree from Intelligent Instance Selection: A new instance selection method based on Genetic Algorithm for optimizing decision trees. 1 indexed citations
11.
Zhu, Dan, Xiao‐Bai Li, & Shuning Wu. (2009). Identity disclosure protection: A data reconstruction approach for privacy-preserving data mining. Decision Support Systems. 48(1). 133–140. 29 indexed citations
12.
Wu, Shuning, et al.. (2007). Identity Disclosure Protection: A Data Reconstruction Approach for Preserving Privacy in Data Mining. Journal of the Association for Information Systems. 109. 1 indexed citations
13.
Ólafsson, Sigurður, Xiaonan Li, & Shuning Wu. (2006). Operations research and data mining. European Journal of Operational Research. 187(3). 1429–1448. 160 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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