Peijun Ma

127 total papers · 1.3k total citations
71 papers, 984 citations indexed

About

Peijun Ma is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Peijun Ma has authored 71 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 21 papers in Software and 19 papers in Artificial Intelligence. Recurrent topics in Peijun Ma's work include Software Testing and Debugging Techniques (18 papers), Software Engineering Research (16 papers) and Software Reliability and Analysis Research (13 papers). Peijun Ma is often cited by papers focused on Software Testing and Debugging Techniques (18 papers), Software Engineering Research (16 papers) and Software Reliability and Analysis Research (13 papers). Peijun Ma collaborates with scholars based in China, United States and Taiwan. Peijun Ma's co-authors include Xiaohong Su, Tiantian Wang, Lingling Zhao, Qinghua Hu, Yuying Wang, Yong Du, Kuanquan Wang, Wei Pan, Peng Li and Shuang An and has published in prestigious journals such as Computers & Education, Information Sciences and IEEE Transactions on Software Engineering.

In The Last Decade

Peijun Ma

64 papers receiving 935 citations

Author Peers

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

Author Last Decade Papers Cites
Peijun Ma 276 244 229 167 159 71 984
Zuohua Ding 268 1.0× 170 0.7× 317 1.4× 267 1.6× 185 1.2× 128 1.0k
Ulrik Pagh Schultz 154 0.6× 86 0.4× 406 1.8× 133 0.8× 131 0.8× 101 1.1k
José-Luís Pérez-de-la-Cruz 147 0.5× 97 0.4× 336 1.5× 29 0.2× 92 0.6× 57 821
Yasser Shoukry 110 0.4× 103 0.4× 416 1.8× 68 0.4× 150 0.9× 60 967
Gigliola Vaglini 141 0.5× 146 0.6× 302 1.3× 189 1.1× 188 1.2× 74 1.0k
Hui Li 295 1.1× 71 0.3× 261 1.1× 102 0.6× 35 0.2× 127 827
Erik Sandewall 202 0.7× 87 0.4× 819 3.6× 125 0.7× 186 1.2× 67 1.2k
Chris Lokan 727 2.6× 44 0.2× 380 1.7× 600 3.6× 98 0.6× 69 1.2k
AbdulRahman A. Alsewari 199 0.7× 90 0.4× 341 1.5× 293 1.8× 121 0.8× 67 962
Ian C. Parmee 185 0.7× 107 0.4× 494 2.2× 100 0.6× 422 2.7× 74 1.2k

Countries citing papers authored by Peijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Ma

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

All Works

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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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