Fengda Zhang

About

Fengda Zhang is a scholar working on Artificial Intelligence, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Fengda Zhang has authored 12 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Mechanics of Materials and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Fengda Zhang’s work include Rock Mechanics and Modeling (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Geomechanics and Mining Engineering (3 papers). Fengda Zhang is often cited by papers focused on Rock Mechanics and Modeling (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Geomechanics and Mining Engineering (3 papers). Fengda Zhang collaborates with scholars based in China. Fengda Zhang's co-authors include Kun Kuang, Fei Wu, Yueting Zhuang, Chao Wu, Jianxin Ma, Hongxia Yang, Jun Xiao, Yang Yao, Long Chen and Chao Wu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Knowledge and Data Engineering and Frontiers in Energy Research.

In The Last Decade

Co-authorship network of co-authors of Fengda Zhang i

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Fields of papers citing papers by Fengda Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengda Zhang

Since Specialization

Citations

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