Nan Niu

266 total papers · 3.5k total citations
168 papers, 2.3k citations indexed

About

Nan Niu is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Nan Niu has authored 168 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Information Systems, 67 papers in Artificial Intelligence and 47 papers in Software. Recurrent topics in Nan Niu's work include Software Engineering Research (105 papers), Software Engineering Techniques and Practices (56 papers) and Advanced Software Engineering Methodologies (48 papers). Nan Niu is often cited by papers focused on Software Engineering Research (105 papers), Software Engineering Techniques and Practices (56 papers) and Advanced Software Engineering Methodologies (48 papers). Nan Niu collaborates with scholars based in United States, China and Denmark. Nan Niu's co-authors include Anas Mahmoud, Steve Easterbrook, Juha Savolainen, Zhendong Niu, Wentao Wang, Li Da Xu, Vander Alves, Tanmay Bhowmik, Carina Alves and George Valença and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and IEEE Access.

In The Last Decade

Nan Niu

155 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Nan Niu 1.6k 769 649 453 208 168 2.3k
Stephen G. MacDonell 1.7k 1.1× 466 0.6× 896 1.4× 296 0.7× 209 1.0× 123 2.3k
José Carlos Maldonado 1.4k 0.9× 576 0.7× 1.2k 1.9× 418 0.9× 263 1.3× 200 2.2k
Mehdi Jazayeri 1.6k 1.0× 1.1k 1.4× 707 1.1× 711 1.6× 322 1.5× 110 2.3k
Óscar Pastor 1.6k 1.0× 849 1.1× 642 1.0× 243 0.5× 85 0.4× 291 2.4k
Peng Liang 1.8k 1.1× 858 1.1× 447 0.7× 608 1.3× 312 1.5× 225 2.6k
James H. Cross 1.6k 1.0× 815 1.1× 771 1.2× 395 0.9× 517 2.5× 99 2.4k
Stefan Biffl 1.8k 1.1× 870 1.1× 772 1.2× 370 0.8× 264 1.3× 289 3.2k
Carlos Lucena 1.5k 1.0× 1.4k 1.9× 441 0.7× 632 1.4× 179 0.9× 320 2.6k
Hafedh Mili 1.1k 0.7× 1.5k 1.9× 205 0.3× 361 0.8× 85 0.4× 100 2.3k
Ye Yang 1.5k 0.9× 499 0.6× 790 1.2× 353 0.8× 370 1.8× 131 2.0k

Countries citing papers authored by Nan Niu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Niu. A scholar is included among the top collaborators of Nan Niu 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 Nan Niu. Nan Niu 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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2026