Daoxi Li

1.0k citations
40 papers · 786 · h-index 13

Impact in

    • Additive Manufacturing Materials and Processes
    • Aluminum Alloys Composites Properties
    • High Entropy Alloys Studies
    • Advanced materials and composites
  • Soil Science top 10%

Papers in

Daoxi Li

37 papers receiving 767 citations

Peers

Daoxi Li
Comparison fields: 5 of 83
  • Mechanical Engineering 418
  • Soil Science 102
  • Aerospace Engineering 210
  • Automotive Engineering 99
  • Materials Chemistry 258
Replace Alfred Soboyejo with:
Alfred Soboyejo United States
Haorui Zhang China
Marcos Milan Brazil
Ce Wang China
Jiansheng Zhang China
Preeti Verma India
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Citations per field
00.5×6.6×
Alfred Soboyejo · 1×
Citations per year

Countries citing papers authored by Daoxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Daoxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daoxi Li, 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 Daoxi Li Line = papers co-authored together Daoxi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011111
2 2021103
3 201878
4 202073
5 201767
6 202064
7 201445
8 202043
9 201919
10 201616
11 200714
12 202014
13
Neural network model for reference crop evapotranspiration prediction based on weather forecast
200613
14 202011
15 202210
16 202110
17 20239
18 20199
19 20209
20 20227

About Daoxi Li

Daoxi Li is a scholar working on Water Science and Technology, Mechanical Engineering, Materials Chemistry, Aerospace Engineering and Plant Science, having authored 40 papers that have together received 786 indexed citations. Recurring topics across this work include Microstructure and mechanical properties (9 papers), Aluminum Alloy Microstructure Properties (7 papers), Environmental and Agricultural Sciences (7 papers), Aluminum Alloys Composites Properties (6 papers), Irrigation Practices and Water Management (5 papers), Rice Cultivation and Yield Improvement (4 papers), Water-Energy-Food Nexus Studies (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). The work is most often cited by research in Mechanical Engineering (418 citations), Soil Science (102 citations), Aerospace Engineering (210 citations), Automotive Engineering (99 citations) and Materials Chemistry (258 citations). Daoxi Li has collaborated with scholars based in China, Estonia and India. Frequent co-authors include Zhi Wang, Zongqiang Luo, Weiwen Zhang, Chao Zhao, Lauri Kollo, Konda Gokuldoss Prashanth, Shizhang Peng, Junzeng Xu, Yufeng Luo and Shihong Yang. Their work appears in journals such as Journal of Alloys and Compounds, Materials, Water, International journal of agricultural and biological engineering and Agronomy.

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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