Sen Lu

46 papers receiving 1.4k citations

Sen Lu's Hit Papers

An Improved Model for Predicting Soil Thermal Conductivity from Water Content at Room Temperature 2007 · 541 citations
5410+6+12Years since publication100200300400500

Peers

Sen Lu
Comparison fields: 5 of 126
  • Civil and Structural Engineering 790
  • Renewable Energy, Sustainability and the Environment 561
  • Atmospheric Science 469
  • Environmental Engineering 376
  • Soil Science 122
Replace Vlodek R. Tarnawski with:
Vlodek R. Tarnawski Canada
Wei Xiang China
L. Vulliet Switzerland
Philip James Vardon Netherlands
Alessio Ferrari Switzerland
Abdullah Cihan United States
Jean‐Marie Konrad Canada
Mathieu Nuth Switzerland
Xiangtian Xu China
Wansheng Pei China
Sen Lu relative to Vlodek R. Tarnawski Canada Vlodek R. Tarnawski's profile →
Citations per field
00.5×1.5×2×2.4×
Vlodek 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 52 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 →
2007541
2 2014137
3 201184
4 200984
5 201651
6 200847
7 201242
8 202139
9 202239
10 201135
11 201434
12 201830
13 201529
14 202224
15 201523
16 202122
17 202116
18 202015
19 201513
20 201911

About Sen Lu

Sen Lu is a scholar working on Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment, Environmental Engineering, Soil Science and Forestry, having authored 52 papers that have together received 1.4k 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), Plant Water Relations and Carbon Dynamics (5 papers), Climate change and permafrost (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 (790 citations), Renewable Energy, Sustainability and the Environment (561 citations), Atmospheric Science (469 citations), Environmental Engineering (376 citations) and Soil Science (122 citations). Sen Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tusheng Ren, Robert Horton, Yuanshi Gong, Yili Lu, Zhaoqiang Ju, Yajing Wang, Baoguo Li, Ping Meng, Xiaobo Huang and Joshua L. Heitman. Their work appears in journals such as Soil Science Society of America Journal, International Journal of Molecular Medicine, Frontiers in Pharmacology, Geoderma and PLoS ONE.

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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