Fangqin Dai

52 total papers · 526 total citations
39 papers, 399 citations indexed

About

Fangqin Dai is a scholar working on Mechanical Engineering, Mechanics of Materials and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Fangqin Dai has authored 39 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 13 papers in Mechanics of Materials and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Fangqin Dai's work include Hydrocarbon exploration and reservoir analysis (11 papers), Magnetic Properties and Applications (9 papers) and Petroleum Processing and Analysis (9 papers). Fangqin Dai is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (11 papers), Magnetic Properties and Applications (9 papers) and Petroleum Processing and Analysis (9 papers). Fangqin Dai collaborates with scholars based in China and Belgium. Fangqin Dai's co-authors include Guangqiang Li, Shuang Liu, Yonghua You, Shuang Liu, Biao Lu, Guang Xu, Demin Chen, Aiwu Fan, Shuang Liu and Haijiang Hu and has published in prestigious journals such as Energy, Corrosion Science and Applied Thermal Engineering.

In The Last Decade

Fangqin Dai

36 papers receiving 390 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fangqin Dai 195 142 125 114 103 39 399
Fanyu Meng 101 0.5× 84 0.6× 92 0.7× 53 0.5× 97 0.9× 29 383
Mengyun Zhao 124 0.6× 112 0.8× 64 0.5× 81 0.7× 102 1.0× 35 446
Shuai Wang 169 0.9× 65 0.5× 95 0.8× 23 0.2× 71 0.7× 32 368
Н. К. Кондрашева 170 0.9× 88 0.6× 126 1.0× 149 1.3× 46 0.4× 47 407
Xiangchun Liu 124 0.6× 83 0.6× 264 2.1× 36 0.3× 35 0.3× 35 379
K. Sampath 188 1.0× 114 0.8× 41 0.3× 33 0.3× 69 0.7× 31 388
Jian Hui 95 0.5× 118 0.8× 120 1.0× 108 0.9× 119 1.2× 35 405
James D. Garber 101 0.5× 48 0.3× 77 0.6× 68 0.6× 92 0.9× 47 359
Yixin Ma 141 0.7× 239 1.7× 88 0.7× 62 0.5× 68 0.7× 24 434
GU Cheng-lin 180 0.9× 104 0.7× 40 0.3× 101 0.9× 62 0.6× 30 437

Countries citing papers authored by Fangqin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fangqin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangqin Dai

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

All Works

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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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