Pu Wu

24 papers and 359 indexed citations i.

About

Pu Wu is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Geometry and Topology. According to data from OpenAlex, Pu Wu has authored 24 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 8 papers in Computer Networks and Communications and 6 papers in Geometry and Topology. Recurrent topics in Pu Wu’s work include Advanced Graph Theory Research (15 papers), Combinatorial Optimization and Complexity Theory (12 papers) and Graph Labeling and Dimension Problems (6 papers). Pu Wu is often cited by papers focused on Advanced Graph Theory Research (15 papers), Combinatorial Optimization and Complexity Theory (12 papers) and Graph Labeling and Dimension Problems (6 papers). Pu Wu collaborates with scholars based in China, Iran and Slovenia. Pu Wu's co-authors include Zehui Shao, Xiujun Zhang, Jia‐Bao Liu, Darko Dimitrov, Yingying Gao, Iván Gutman, Seyed Mahmoud Sheikholeslami, Zepeng Li, Janez Žerovnik and Lanxiang Chen and has published in prestigious journals such as Sensors, IEEE Access and Applied Mathematics and Computation.

In The Last Decade

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

Fields of papers citing papers by Pu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pu Wu

Since Specialization
Citations

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