Fangqun Dai

48 total papers · 675 total citations
42 papers, 547 citations indexed

About

Fangqun Dai is a scholar working on Global and Planetary Change, Ecology and Molecular Biology. According to data from OpenAlex, Fangqun Dai has authored 42 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 15 papers in Ecology and 8 papers in Molecular Biology. Recurrent topics in Fangqun Dai's work include Marine and fisheries research (26 papers), Marine Bivalve and Aquaculture Studies (19 papers) and Fish Ecology and Management Studies (8 papers). Fangqun Dai is often cited by papers focused on Marine and fisheries research (26 papers), Marine Bivalve and Aquaculture Studies (19 papers) and Fish Ecology and Management Studies (8 papers). Fangqun Dai collaborates with scholars based in China, Australia and Saudi Arabia. Fangqun Dai's co-authors include Xianshi Jin, Xiujuan Shan, Tao Yang, Yunlong Chen, Xianyong Zhao, Xiansen Li, Yong Wang, Wei Wang, Jianhua Hao and Junzhong Liu and has published in prestigious journals such as The Science of The Total Environment, International Journal of Molecular Sciences and Ecological Indicators.

In The Last Decade

Fangqun Dai

42 papers receiving 535 citations

Author Peers

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

Author						Papers	Cites
Fangqun Dai	336	211	130	112	102	42	547
Maroof Khalaf	238 0.7×	250 1.2×	95 0.7×	82 0.7×	93 0.9×	30	450
Mohammad Fatemi	139 0.4×	119 0.6×	201 1.5×	107 1.0×	79 0.8×	47	525
Matz Berggren	184 0.5×	249 1.2×	51 0.4×	41 0.4×	57 0.6×	21	551
Carlos Andrade	143 0.4×	104 0.5×	35 0.3×	56 0.5×	252 2.5×	48	578
Zeliang Wang	262 0.8×	251 1.2×	141 1.1×	127 1.1×	21 0.2×	38	599
Majid Askari Hesni	94 0.3×	122 0.6×	138 1.1×	51 0.5×	139 1.4×	62	486
S. Ajmal Khan	184 0.5×	291 1.4×	44 0.3×	64 0.6×	72 0.7×	49	546
Lourdes Vásquez–Yeomans	234 0.7×	281 1.3×	155 1.2×	152 1.4×	77 0.8×	35	521
Andrew David	284 0.8×	366 1.7×	65 0.5×	113 1.0×	23 0.2×	20	497
Wen Zhao	130 0.4×	200 0.9×	57 0.4×	45 0.4×	149 1.5×	46	558

Countries citing papers authored by Fangqun Dai

Since Specialization

Citations

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

Fields of papers citing papers by Fangqun Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangqun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Fangqun Dai. A scholar is included among the top collaborators of Fangqun 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 Fangqun Dai. Fangqun 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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