Yada Zhu

30 papers and 263 indexed citations i.

About

Yada Zhu is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yada Zhu has authored 30 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Safety, Risk, Reliability and Quality and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yada Zhu’s work include Advanced Graph Neural Networks (6 papers), Reliability and Maintenance Optimization (6 papers) and Time Series Analysis and Forecasting (4 papers). Yada Zhu is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Reliability and Maintenance Optimization (6 papers) and Time Series Analysis and Forecasting (4 papers). Yada Zhu collaborates with scholars based in United States, China and South Korea. Yada Zhu's co-authors include Elsayed A. Elsayed, Jingrui He, Dzung T. Phan, Yunan Ye, Boxin Wang, Xiao Ju, Hengzhi Pei, Бо Ли, Pin‐Yu Chen and Hanghang Tong and has published in prestigious journals such as Technometrics, European Journal of Operational Research and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Yada Zhu i

Fields of papers citing papers by Yada Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yada Zhu

Since Specialization
Citations

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

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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2025