Sen Lu

43 papers receiving 1.3k citations

Sen Lu's Hit Papers

An Improved Model for Predicting Soil Thermal Conductivity from Water Content at Room Temperature 2007 · 502 citations
5020+6+12Years since publication100200300400500

Peers

Sen Lu
Comparison fields: 5 of 127
  • Civil and Structural Engineering 759
  • Renewable Energy, Sustainability and the Environment 543
  • Atmospheric Science 447
  • Environmental Engineering 348
  • Soil Science 114
Replace V. R. Tarnawski with:
V. R. Tarnawski Canada
Wei Xiang China
Daniel De Bortoli Teixeira Brazil
L. Vulliet Switzerland
Alessio Ferrari Switzerland
Philip J. Vardon Netherlands
Debasmita Misra United States
Jean‐Marie Konrad Canada
Mathieu Nuth Switzerland
Sangseom Jeong South Korea
Sen Lu relative to V. R. Tarnawski Canada V. R. Tarnawski's profile →
Citations per field
00.5×1.6×
V. R. Tarnawski · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sen Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sen Lu Line = papers co-authored together Sen Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Improved Model for Predicting Soil Thermal Conductivity from Water Content at Room Temperature
Hit paper breakdown →
2007502
2 2014128
3 201180
4 200978
5 200846
6 201645
7 201242
8 202136
9 202234
10 201133
11 201432
12 201829
13 201526
14 202223
15 201522
16 202119
17 202114
18 202014
19 201910
20 201510

About Sen Lu

Sen Lu is a scholar working on Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment, Surgery, Environmental Engineering and Molecular Biology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (16 papers), Geothermal Energy Systems and Applications (10 papers), Soil Moisture and Remote Sensing (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Climate change and permafrost (5 papers), Plant Water Relations and Carbon Dynamics (5 papers), Transplantation: Methods and Outcomes (4 papers) and Agroforestry and silvopastoral systems (3 papers). The work is most often cited by research in Civil and Structural Engineering (759 citations), Renewable Energy, Sustainability and the Environment (543 citations), Atmospheric Science (447 citations), Environmental Engineering (348 citations) and Soil Science (114 citations). Sen Lu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Tusheng Ren, Robert Horton, Yuanshi Gong, Yili Lu, Zhaoqiang Ju, Yajing Wang, Baoguo Li, Ping Meng, Joshua L. Heitman and Xiaobo Huang. Their work appears in journals such as Soil Science Society of America Journal, Geoderma, Journal of Pain, Agricultural and Forest Meteorology and Frontiers in Pharmacology.

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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