Lijia Wen

19 total papers · 418 total citations
9 papers, 258 citations indexed

About

Lijia Wen is a scholar working on Ecology, Ecological Modeling and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lijia Wen has authored 9 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 4 papers in Ecological Modeling and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lijia Wen's work include Species Distribution and Climate Change (4 papers), Avian ecology and behavior (4 papers) and Wildlife Ecology and Conservation (4 papers). Lijia Wen is often cited by papers focused on Species Distribution and Climate Change (4 papers), Avian ecology and behavior (4 papers) and Wildlife Ecology and Conservation (4 papers). Lijia Wen collaborates with scholars based in China, United States and Mongolia. Lijia Wen's co-authors include Yumin Guo, Xuesong Han, Chunrong Mi, Falk Huettmann, Fangfang Wang, Jiaguo Yan, Xu Ma, Fang Gao, Dongdong Qiu and Baoshan Cui and has published in prestigious journals such as Scientific Reports, Animal Behaviour and Ecological Indicators.

In The Last Decade

Lijia Wen

7 papers receiving 255 citations

Author Peers

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

Author Last Decade Papers Cites
Lijia Wen 170 163 85 49 46 9 258
Sergio Vignali 188 1.1× 186 1.1× 73 0.9× 46 0.9× 58 1.3× 9 284
Giovanni Poggiato 157 0.9× 162 1.0× 134 1.6× 40 0.8× 70 1.5× 11 268
Olaf Booy 196 1.2× 120 0.7× 108 1.3× 71 1.4× 93 2.0× 14 323
Irma Franke 154 0.9× 203 1.2× 97 1.1× 41 0.8× 65 1.4× 14 281
Julieta Vargas 133 0.8× 177 1.1× 79 0.9× 39 0.8× 67 1.5× 8 258
Ruth Y. Oliver 207 1.2× 125 0.8× 48 0.6× 54 1.1× 43 0.9× 14 306
Livia Maira Orlandi Laureto 114 0.7× 106 0.7× 147 1.7× 65 1.3× 92 2.0× 6 281
Martin Krüger 141 0.8× 139 0.9× 184 2.2× 80 1.6× 84 1.8× 8 315
Michael Opige 174 1.0× 153 0.9× 89 1.0× 83 1.7× 36 0.8× 8 285
Enesima P. Mendonca 123 0.7× 110 0.7× 107 1.3× 36 0.7× 117 2.5× 11 293

Countries citing papers authored by Lijia Wen

Since Specialization
Citations

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

Fields of papers citing papers by Lijia Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijia Wen

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