Guanglong Dai

507 citations
40 papers · 410 indexed · h-index 12
Topics
Coal Properties and Utilization (25 papers)Flame retardant materials and properties (11 papers)Geoscience and Mining Technology (8 papers)
Partner nations
ChinaRwanda

In The Last Decade

Guanglong Dai

39 papers receiving 408 citations

Peers

Guanglong Dai
Comparison fields: 5 of 52
  • Ocean Engineering 194
  • Polymers and Plastics 170
  • Safety, Risk, Reliability and Quality 140
  • Mechanics of Materials 88
  • Aerospace Engineering 45
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Citations per field
00.5×10×15×20×
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Citations per year

Countries citing papers authored by Guanglong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Dai. A scholar is included among the top collaborators of Guanglong Dai 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 Guanglong Dai. Guanglong Dai 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
#WorkIndexed citations
1 1
2 27
3 13
4 3
5 8
6 2
7 4
8 15
9 8
10 2
11 11
12 1
13
Relation between free radicals concentration and gas products in process of coal low temperature oxidation
4
14 1
15
Study on Different-source Prediction of Gas Emission in Fully Mechanized Coal Face Based on BP Neural Network
1
16
Research on microcrystalline structure change regularity in the coal low temperature oxidation process
6
17 38
18
Study on Air Leakage Law of Goaf in High Gassy Fully Mechanized Coal Mining Face with Y Type Ventilation
1
19
CFD numerical simulation of heavy gas dispersion in great tank areas
1
20
Critical Value of CO of Forecasting Coal Spontaneous Combustion
7

About Guanglong Dai

Guanglong Dai is a scholar working on Ocean Engineering, Safety, Risk, Reliability and Quality and Polymers and Plastics, having authored 40 papers that have together received 410 indexed citations. Recurring topics across this work include Coal Properties and Utilization (25 papers), Flame retardant materials and properties (11 papers) and Geoscience and Mining Technology (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (140 citations), Fuel Technology (12 citations) and Ocean Engineering (194 citations). Guanglong Dai has collaborated with scholars based in China and Rwanda. Frequent co-authors include Shibin Nie, Mingyun Tang, Liang Zhou, Yuan Hu, Xueli Liu, Jinian Yang, Bingyou Jiang, Ruiqing Zhang, Zhiqiang Yin and Jinhu Li. Their work appears in journals such as Energy, Fuel and RSC Advances.

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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