Daokun Ma

459 total citations
22 papers, 279 citations indexed

About

Daokun Ma is a scholar working on Water Science and Technology, Environmental Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daokun Ma has authored 22 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 7 papers in Environmental Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daokun Ma's work include Water Quality Monitoring Technologies (10 papers), Water Quality Monitoring and Analysis (5 papers) and Soil Moisture and Remote Sensing (4 papers). Daokun Ma is often cited by papers focused on Water Quality Monitoring Technologies (10 papers), Water Quality Monitoring and Analysis (5 papers) and Soil Moisture and Remote Sensing (4 papers). Daokun Ma collaborates with scholars based in China and Germany. Daokun Ma's co-authors include Daoliang Li, Peter Schulze Lammers, Feifei Li, Yurui Sun, Dongxian He, Qisheng Ding, Yaoguang Wei, Lutz Damerow, Jianhui Lin and Haijiang Tai and has published in prestigious journals such as Scientific Reports, Sensors and Computers and Electronics in Agriculture.

In The Last Decade

Daokun Ma

20 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daokun Ma China 10 136 85 58 43 33 22 279
Ahmed A. El-Shafei Egypt 13 138 1.0× 53 0.6× 55 0.9× 75 1.7× 18 0.5× 38 483
Fangping Liu China 12 61 0.4× 97 1.1× 130 2.2× 86 2.0× 26 0.8× 25 423
Younsuk Dong United States 8 48 0.4× 63 0.7× 40 0.7× 26 0.6× 11 0.3× 48 252
E. Giusti Italy 7 160 1.2× 71 0.8× 51 0.9× 7 0.2× 22 0.7× 11 382
Youngchul Kim South Korea 10 134 1.0× 145 1.7× 191 3.3× 32 0.7× 19 0.6× 75 456
Ram Kailash Prasad India 10 42 0.3× 125 1.5× 17 0.3× 127 3.0× 58 1.8× 41 320
Fitsum T. Teshome United States 11 54 0.4× 73 0.9× 18 0.3× 11 0.3× 13 0.4× 17 290
Md. Touhidul Islam Bangladesh 11 71 0.5× 160 1.9× 17 0.3× 90 2.1× 11 0.3× 64 421
Aida Mérida García Spain 9 113 0.8× 53 0.6× 9 0.2× 22 0.5× 25 0.8× 13 290

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-authorship network of co-authors of Daokun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Daokun Ma. A scholar is included among the top collaborators of Daokun Ma 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 Daokun Ma. Daokun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Tianxin, Daokun Ma, Wei Fang, & Yujie Huang. (2025). Experimental Study on the Propagation Characteristics of LoRa Signals in Maize Fields. Electronics. 14(11). 2156–2156.
2.
Xu, Tianxin, et al.. (2024). Deep learning tool: reconstruction of long missing climate data based on spatio-temporal multilayer perceptron. Theoretical and Applied Climatology. 155(7). 5835–5847.
3.
Xu, Tianxin, et al.. (2024). Deep learning models for groundwater level prediction based on delay penalty. Water Science & Technology Water Supply. 24(2). 555–567. 8 indexed citations
4.
Li, Meng-Hua, Haiyang Zhou, André Lipski, et al.. (2017). CO2 production, dissolution and pressure dynamics during silage production: multi-sensor-based insight into parameter interactions. Scientific Reports. 7(1). 14721–14721. 19 indexed citations
5.
Sun, Yurui, Meng-Hua Li, Peter Boeker, et al.. (2016). An Assessment of Three Different In Situ Oxygen Sensors for Monitoring Silage Production and Storage. Sensors. 16(1). 91–91. 7 indexed citations
6.
Sun, Yurui, Meng-Hua Li, Qiang Cheng, et al.. (2015). Tracking oxygen and temperature dynamics in maize silage-novel application of a Clark oxygen electrode. Biosystems Engineering. 139. 60–65. 12 indexed citations
7.
Ding, Qisheng, et al.. (2013). A Wireless Control Node for Dissolved Oxygen in Aquaculture. Sensor Letters. 11(6). 1069–1073. 3 indexed citations
8.
Ma, Daokun, Qisheng Ding, Zhenbo Li, Daoliang Li, & Yaoguang Wei. (2012). Prototype of an Aquacultural Information System Based on Internet of Things E-Nose. Intelligent Automation & Soft Computing. 18(5). 569–579. 11 indexed citations
9.
Tai, Haijiang, Shuangyin Liu, Daoliang Li, Qisheng Ding, & Daokun Ma. (2012). A Multi-Environmental Factor Monitoring System for Aquiculture Based on Wireless Sensor Networks. Sensor Letters. 10(1). 265–270. 11 indexed citations
10.
Tai, Haijiang, Daoliang Li, Yaoguang Wei, Daokun Ma, & Qisheng Ding. (2011). An Intelligent Turbidimeter for Monitoring Suspended Sediment. Sensor Letters. 9(3). 1083–1087. 1 indexed citations
11.
Ma, Daokun, et al.. (2010). On-the-go measurement oriented combined sensor design for soil moisture content and electrical conductivity.. Transactions of the Chinese Society of Agricultural Machinery. 41(9). 163–167. 1 indexed citations
12.
Li, Feifei, Daoliang Li, Yaoguang Wei, Daokun Ma, & Qisheng Ding. (2010). Dissolved Oxygen Prediction in Apostichopus Japonicus Aquaculture Ponds by BP Neural Network and AR Model. Sensor Letters. 8(1). 95–101. 11 indexed citations
13.
Li, Daoliang, et al.. (2010). A remote wireless system for water quality online monitoring in intensive fish culture. Comput Electron Agric 71(Suppl 1):S3. 2 indexed citations
14.
Ding, Qisheng, et al.. (2010). Design and Implementation of a Sensors Node Oriented Water Quality Monitoring in Aquaculture. Sensor Letters. 8(1). 70–74. 2 indexed citations
15.
Li, Daoliang, et al.. (2010). An Portable Intelligent Measurement Instrument for Dissolved Oxygen in Aquaculture. Sensor Letters. 8(1). 102–108. 2 indexed citations
16.
Ma, Daokun, et al.. (2010). Wireless Sensor Network for Continuous Monitoring Water Quality in Aquaculture Farm. Sensor Letters. 8(1). 109–113. 10 indexed citations
17.
Ma, Daokun, et al.. (2009). Soil cone penetrometer with ball screw transmission.. Transactions of the Chinese Society of Agricultural Machinery. 40(5). 52–55. 1 indexed citations
18.
Li, Daoliang, et al.. (2009). A remote wireless system for water quality online monitoring in intensive fish culture. Computers and Electronics in Agriculture. 71. S3–S9. 98 indexed citations
19.
Sun, Yurui, et al.. (2008). Determining soil physical properties by multi-sensor technique. Sensors and Actuators A Physical. 147(1). 352–357. 31 indexed citations
20.
Ma, Daokun, et al.. (2005). An improved frequency domain technique for determining soil water content. Pedosphere. 15(6). 805–812. 19 indexed citations

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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