Guangqi Wen

26 total papers · 450 total citations
18 papers, 268 citations indexed

About

Guangqi Wen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Guangqi Wen has authored 18 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Guangqi Wen's work include Functional Brain Connectivity Studies (10 papers), Advanced Graph Neural Networks (5 papers) and Mental Health Research Topics (4 papers). Guangqi Wen is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Advanced Graph Neural Networks (5 papers) and Mental Health Research Topics (4 papers). Guangqi Wen collaborates with scholars based in China, Canada and Singapore. Guangqi Wen's co-authors include Osmar R. Zaı̈ane, Peng Cao, Jinzhu Yang, Peng Cao, Xiaoli Liu, Xizhe Zhang, Lanting Li, Fei Wang, Lifeng Ma and Zhihui Cai and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems.

In The Last Decade

Guangqi Wen

16 papers receiving 267 citations

Author Peers

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

Author Last Decade Papers Cites
Guangqi Wen 168 66 39 32 23 18 268
İrem Taşçı 107 0.6× 59 0.9× 27 0.7× 50 1.6× 19 0.8× 37 291
Xuemin Wang 151 0.9× 40 0.6× 32 0.8× 12 0.4× 11 0.5× 30 292
Gaobo Zhang 187 1.1× 31 0.5× 23 0.6× 36 1.1× 11 0.5× 11 331
Marc-André Schulz 132 0.8× 66 1.0× 62 1.6× 15 0.5× 16 0.7× 11 287
Xiaolin Hong 188 1.1× 44 0.7× 8 0.2× 13 0.4× 10 0.4× 12 309
Juan E. Arco 97 0.6× 70 1.1× 59 1.5× 33 1.0× 15 0.7× 22 322
Peter Lee 107 0.6× 15 0.2× 70 1.8× 28 0.9× 12 0.5× 18 259
Ni Li 107 0.6× 21 0.3× 10 0.3× 13 0.4× 46 2.0× 15 227
Ömer Türk 167 1.0× 43 0.7× 20 0.5× 24 0.8× 6 0.3× 23 260
Amirmasoud Ahmadi 169 1.0× 23 0.3× 13 0.3× 12 0.4× 11 0.5× 16 306

Countries citing papers authored by Guangqi Wen

Since Specialization
Citations

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

Fields of papers citing papers by Guangqi Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangqi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Guangqi Wen. A scholar is included among the top collaborators of Guangqi Wen 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 Guangqi Wen. Guangqi Wen 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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