Sen Lu

65 total papers · 1.7k total citations
46 papers, 1.3k citations indexed

About

Sen Lu is a scholar working on Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment and Surgery. According to data from OpenAlex, Sen Lu has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 10 papers in Renewable Energy, Sustainability and the Environment and 9 papers in Surgery. Recurrent topics in Sen Lu's work include Soil and Unsaturated Flow (16 papers), Geothermal Energy Systems and Applications (10 papers) and Soil Moisture and Remote Sensing (7 papers). Sen Lu is often cited by papers focused on Soil and Unsaturated Flow (16 papers), Geothermal Energy Systems and Applications (10 papers) and Soil Moisture and Remote Sensing (7 papers). Sen Lu collaborates with scholars based in China, United States and Germany. Sen Lu's co-authors include Tusheng Ren, Robert Horton, Yuanshi Gong, Yili Lu, Zhaoqiang Ju, Yajing Wang, Baoguo Li, Ping Meng, Joshua L. Heitman and Rongrong Cai and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Journal of Hydrology.

In The Last Decade

Sen Lu

42 papers receiving 1.3k citations

Hit Papers

An Improved Model for Pre... 2007 2026 2013 2019 2007 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Sen Lu 754 539 447 348 145 46 1.3k
Fritz Stauffer 392 0.5× 141 0.3× 163 0.4× 888 2.6× 89 0.6× 44 1.5k
Kosuke Noborio 775 1.0× 236 0.4× 402 0.9× 744 2.1× 200 1.4× 65 1.6k
Nan Zhang 896 1.2× 374 0.7× 287 0.6× 441 1.3× 56 0.4× 53 1.4k
Toshihiro Sakaki 840 1.1× 251 0.5× 209 0.5× 867 2.5× 183 1.3× 59 1.5k
V. R. Tarnawski 1.2k 1.5× 1.1k 2.0× 695 1.6× 377 1.1× 37 0.3× 38 1.7k
Randall C. Reeder 643 0.9× 255 0.5× 204 0.5× 168 0.5× 102 0.7× 32 1.3k
B. Usowicz 478 0.6× 191 0.4× 217 0.5× 339 1.0× 136 0.9× 88 1.3k
Kai Zoßeder 149 0.2× 436 0.8× 225 0.5× 404 1.2× 158 1.1× 63 1.2k
Hui Xu 345 0.5× 122 0.2× 54 0.1× 191 0.5× 146 1.0× 97 1.7k
Anil Kumar Mishra 775 1.0× 68 0.1× 43 0.1× 325 0.9× 219 1.5× 109 1.5k

Countries citing papers authored by Sen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Lu

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