Tiebin Wu

15 papers and 778 indexed citations i.

About

Tiebin Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Tiebin Wu has authored 15 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Tiebin Wu’s work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (3 papers). Tiebin Wu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (3 papers). Tiebin Wu collaborates with scholars based in China. Tiebin Wu's co-authors include Wen Long, Ming Xu, Shaohong Cai, Jianjun Jiao, Ximing Liang, Mingzhu Tang, Hongqiu Zhu, Wenyan Tang, Long Wen and Xinjun Li and has published in prestigious journals such as Energy Conversion and Management, Energy and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Tiebin Wu i

Fields of papers citing papers by Tiebin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiebin Wu

Since Specialization
Citations

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