Ying Cheng Wu

417 total citations
15 papers, 121 citations indexed

About

Ying Cheng Wu is a scholar working on Artificial Intelligence, Information Systems and Political Science and International Relations. According to data from OpenAlex, Ying Cheng Wu has authored 15 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Political Science and International Relations. Recurrent topics in Ying Cheng Wu's work include Blockchain Technology Applications and Security (3 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Ying Cheng Wu is often cited by papers focused on Blockchain Technology Applications and Security (3 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Ying Cheng Wu collaborates with scholars based in United States, China and United Kingdom. Ying Cheng Wu's co-authors include Mengjie Zhou, Hongpeng Fu, Zhe Ma, Jiaqi Zhou, Rama K. Mallampalli, Diann M. McCoy, Stephen E. McGowan, Siwen Chen and Yiyi Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ying Cheng Wu

14 papers receiving 112 citations

Peers

Ying Cheng Wu

IS

AI

MIS

CVPR

SP

Alexander Kriebitz Germany

César Guevara Ecuador

Sophie Dupuy-Chessa France

Firas Tayseer Ayasrah United Arab Emirates

Daina Gudonienė Lithuania

Άννα Μάστορα Greece

Alke Martens Germany

Dinesh C. Dobhal India

Kai‐Kristian Kemell Finland

João Correia Lopes Portugal

Alexander Kriebitz Germany

Ying Cheng Wu

15 ×0.5

IS

47 ×2.5

AI

5 ×0.4

MIS

8 ×0.7

CVPR

7 ×0.8

SP

Citations per year, relative to Ying Cheng Wu Ying Cheng Wu (= 1×) peers Alexander Kriebitz

Countries citing papers authored by Ying Cheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ying Cheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Cheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Cheng Wu. A scholar is included among the top collaborators of Ying Cheng 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 Ying Cheng Wu. Ying Cheng 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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15 of 15 papers shown

1.

Wu, Ying Cheng, et al.. (2024). Unlabeled data selection for active learning in image classification. Scientific Reports. 14(1). 424–424. 10 indexed citations

2.

Ma, Zhe, et al.. (2024). Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization. Future Internet. 16(5). 163–163. 15 indexed citations

3.

Wu, Ying Cheng, et al.. (2024). Empowering legal justice with AI: A reinforcement learning SAC-VAE framework for advanced legal text summarization. PLoS ONE. 19(10). e0312623–e0312623. 2 indexed citations

4.

Ma, Zhe, et al.. (2024). Deep-Learning-Based Pre-Training and Refined Tuning for Web Summarization Software. IEEE Access. 12. 92120–92129. 3 indexed citations

5.

Wu, Ying Cheng, et al.. (2024). Deep-Learning-Based Lithium Battery Defect Detection via Cross-Domain Generalization. IEEE Access. 12. 78505–78514. 5 indexed citations

6.

Wu, Ying Cheng, et al.. (2024). Beyond surveillance: privacy, ethics, and regulations in face recognition technology. Frontiers in Big Data. 7. 1337465–1337465. 15 indexed citations

7.

Wu, Ying Cheng, et al.. (2024). Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices. Frontiers in Artificial Intelligence. 7. 1320277–1320277. 9 indexed citations

8.

Wu, Ying Cheng, et al.. (2024). Blockchain in the courtroom: exploring its evidentiary significance and procedural implications in U.S. judicial processes. SHILAP Revista de lepidopterología. 7. 9 indexed citations

9.

Wu, Ying Cheng, et al.. (2024). Advancing legal recommendation system with enhanced Bayesian network machine learning. Artificial Intelligence and Law. 34(1). 227–244. 3 indexed citations

10.

Wu, Ying Cheng, et al.. (2023). A Study on Blockchain Sandwich Attack Strategies Based on Mechanism Design Game Theory. Electronics. 12(21). 4417–4417. 11 indexed citations

11.

Wu, Ying Cheng, et al.. (2023). Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy. 299–303. 5 indexed citations

12.

Chen, Siwen, et al.. (2023). Sea Ice Extent Prediction with Machine Learning Methods and Subregional Analysis in the Arctic. Atmosphere. 14(6). 1023–1023. 7 indexed citations

13.

Wu, Ying Cheng, et al.. (2023). On reservation prices in the all‐pay contest with correlated information. Managerial and Decision Economics. 44(7). 3932–3943. 2 indexed citations

14.

Wu, Ying Cheng, et al.. (2023). Digital intervention in improving the outcomes of mental health among LGBTQ+ youth: a systematic review. Frontiers in Psychology. 14. 1242928–1242928. 10 indexed citations

15.

Zhou, Jiaqi, et al.. (2006). Adenoviral gene transfer of a mutant surfactant enzyme ameliorates pseudomonas-induced lung injury. Gene Therapy. 13(12). 974–985. 15 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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