Yada Zhu

99 total papers · 794 total citations
50 papers, 476 citations indexed

About

Yada Zhu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yada Zhu has authored 50 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yada Zhu's work include Stock Market Forecasting Methods (8 papers), Reliability and Maintenance Optimization (7 papers) and Advanced Graph Neural Networks (7 papers). Yada Zhu is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Reliability and Maintenance Optimization (7 papers) and Advanced Graph Neural Networks (7 papers). Yada Zhu collaborates with scholars based in United States, China and Israel. Yada Zhu's co-authors include Jingrui He, Elsayed A. Elsayed, Hanghang Tong, Pin‐Yu Chen, Boxin Wang, Xiao Ju, Бо Ли, Yunan Ye, Hengzhi Pei and Jianbo Li 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

Yada Zhu

48 papers receiving 459 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yada Zhu 187 132 76 73 61 50 476
Zubair Ashraf 146 0.8× 153 1.2× 68 0.9× 43 0.6× 51 0.8× 34 505
Ayman A. Amin 108 0.6× 78 0.6× 40 0.5× 15 0.2× 77 1.3× 29 405
J. Spragins 188 1.0× 32 0.2× 26 0.3× 22 0.3× 159 2.6× 36 517
V. V. S. Sarma 99 0.5× 51 0.4× 130 1.7× 61 0.8× 26 0.4× 59 501
M. Kraetzl 139 0.7× 34 0.3× 46 0.6× 24 0.3× 27 0.4× 39 448
Likang Yin 129 0.7× 239 1.8× 46 0.6× 106 1.5× 36 0.6× 16 474
Jason M. Aughenbaugh 68 0.4× 109 0.8× 60 0.8× 146 2.0× 15 0.2× 28 431
Afif Masmoudi 218 1.2× 45 0.3× 8 0.1× 24 0.3× 115 1.9× 88 532
Alp Akçay 44 0.2× 132 1.0× 42 0.6× 48 0.7× 25 0.4× 61 447
Ritu Gupta 62 0.3× 47 0.4× 139 1.8× 87 1.2× 209 3.4× 54 480

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).

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.

Co-authorship network of co-authors of Yada Zhu

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

All Works

Loading papers...

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

Rankless by CCL
2026