Gengchen Mai

150 total papers · 3.0k total citations
65 papers, 1.5k citations indexed

About

Gengchen Mai is a scholar working on Artificial Intelligence, Geography, Planning and Development and Signal Processing. According to data from OpenAlex, Gengchen Mai has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Geography, Planning and Development and 18 papers in Signal Processing. Recurrent topics in Gengchen Mai's work include Geographic Information Systems Studies (22 papers), Data Management and Algorithms (17 papers) and Semantic Web and Ontologies (10 papers). Gengchen Mai is often cited by papers focused on Geographic Information Systems Studies (22 papers), Data Management and Algorithms (17 papers) and Semantic Web and Ontologies (10 papers). Gengchen Mai collaborates with scholars based in United States, Austria and China. Gengchen Mai's co-authors include Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Song Gao, Shiliang Su, Ni Lao, Yingjie Hu, Yaping Wang and Yi’na Hu and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Ecological Indicators and Agricultural Systems.

In The Last Decade

Gengchen Mai

61 papers receiving 1.4k citations

Hit Papers

Traffic transformer: Capt... 2020 2026 2022 2024 2020 2022 2023 2024 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Gengchen Mai 376 359 335 313 286 65 1.5k
Steve Liang 336 0.9× 287 0.8× 196 0.6× 213 0.7× 126 0.4× 43 1.3k
Grant McKenzie 456 1.2× 972 2.7× 230 0.7× 220 0.7× 372 1.3× 64 1.8k
Martin Tomko 410 1.1× 338 0.9× 168 0.5× 136 0.4× 263 0.9× 113 1.3k
Haosheng Huang 303 0.8× 715 2.0× 120 0.4× 225 0.7× 320 1.1× 99 1.8k
Dirk Burghardt 522 1.4× 154 0.4× 149 0.4× 249 0.8× 186 0.7× 89 1.1k
Timothy Nyerges 740 2.0× 259 0.7× 168 0.5× 334 1.1× 135 0.5× 53 1.6k
Padraig Corcoran 522 1.4× 313 0.9× 194 0.6× 111 0.4× 89 0.3× 85 1.2k
Liang Wu 205 0.5× 280 0.8× 416 1.2× 278 0.9× 138 0.5× 96 1.7k
Barbara P. Buttenfield 571 1.5× 150 0.4× 166 0.5× 277 0.9× 76 0.3× 99 1.4k
Zhaoyuan Yu 146 0.4× 171 0.5× 192 0.6× 190 0.6× 224 0.8× 130 1.8k

Countries citing papers authored by Gengchen Mai

Since Specialization
Citations

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

Fields of papers citing papers by Gengchen Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengchen Mai

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