Daokun Ma

20 papers receiving 266 citations

Peers

Daokun Ma
Comparison fields: 5 of 63
  • Water Science and Technology 136
  • Industrial and Manufacturing Engineering 58
  • Environmental Engineering 85
  • Soil Science 30
  • Bioengineering 17
Replace E. Giusti with:
E. Giusti Italy
Ahmed A. El-Shafei Egypt
Fangping Liu China
Heike Hoffmann Brazil
Adel H. Elmetwalli Egypt
Younsuk Dong United States
Evangelini Κιττα Greece
Md. Touhidul Islam Bangladesh
Youngchul Kim South Korea
Daokun Ma relative to E. Giusti Italy E. Giusti's profile →
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Citations per year

Countries citing papers authored by Daokun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Daokun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200998
2 200831
3 200424
4
An improved frequency domain technique for determining soil water content
200519
5 201719
6 201512
7 201011
8 201211
9 201211
10 201010
11 20248
12 20167
13 20116
14 20133
15 20102
16
A remote wireless system for water quality online monitoring in intensive fish culture. Comput Electron Agric 71(Suppl 1):S3
20102
17 20102
18
Soil cone penetrometer with ball screw transmission.
20091
19
On-the-go measurement oriented combined sensor design for soil moisture content and electrical conductivity.
20101
20 20111

About Daokun Ma

Daokun Ma is a scholar working on Water Science and Technology, Environmental Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications and Civil and Structural Engineering, having authored 22 papers that have together received 279 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (10 papers), Water Quality Monitoring and Analysis (5 papers), Soil Moisture and Remote Sensing (4 papers), Sensor Technology and Measurement Systems (2 papers), Hydrological Forecasting Using AI (2 papers), Soil and Unsaturated Flow (2 papers), Analytical Chemistry and Sensors (2 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Water Science and Technology (136 citations), Industrial and Manufacturing Engineering (58 citations), Environmental Engineering (85 citations), Soil Science (30 citations) and Bioengineering (17 citations). Daokun Ma has collaborated with scholars based in China and Germany. Frequent co-authors include Daoliang Li, Feifei Li, Peter Schulze Lammers, Yurui Sun, Dongxian He, Qisheng Ding, Yaoguang Wei, Jianhui Lin, Lutz Damerow and Haijiang Tai. Their work appears in journals such as Journal of Plant Nutrition and Soil Science, Scientific Reports, Computers and Electronics in Agriculture, Electronics and Sensors and Actuators A Physical.

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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