Dehong Ma

44 total papers · 2.1k total citations
24 papers, 650 citations indexed

About

Dehong Ma is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Dehong Ma has authored 24 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 10 papers in Artificial Intelligence and 7 papers in Infectious Diseases. Recurrent topics in Dehong Ma's work include Mosquito-borne diseases and control (12 papers), Topic Modeling (9 papers) and Viral Infections and Vectors (7 papers). Dehong Ma is often cited by papers focused on Mosquito-borne diseases and control (12 papers), Topic Modeling (9 papers) and Viral Infections and Vectors (7 papers). Dehong Ma collaborates with scholars based in China, United Kingdom and Uganda. Dehong Ma's co-authors include Houfeng Wang, Sujian Li, Xiaodong Zhang, Lianzhe Huang, Xing Xie, Fangzhao Wu, Lihua Li, Yue Pan, Linhao Zhang and Xiaohui Yan and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Journal of Medical Virology.

In The Last Decade

Dehong Ma

22 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Dehong Ma	403	163	121	73	58	24	650
Xian Yang	189 0.5×	129 0.8×	78 0.6×	79 1.1×	64 1.1×	62	641
Geoffrey Fairchild	76 0.2×	155 1.0×	102 0.8×	31 0.4×	123 2.1×	29	676
Xiang Dai	321 0.8×	68 0.4×	58 0.5×	29 0.4×	11 0.2×	51	605
Ranjan Kumar Behera	323 0.8×	91 0.6×	73 0.6×	111 1.5×	62 1.1×	43	768
Christian Payne	163 0.4×	34 0.2×	24 0.2×	162 2.2×	62 1.1×	24	688
Liang Xiao	62 0.2×	140 0.9×	115 1.0×	15 0.2×	9 0.2×	45	569
Claudia Emerson	70 0.2×	305 1.9×	106 0.9×	72 1.0×	47 0.8×	16	775
Tianxiao Zhang	172 0.4×	21 0.1×	76 0.6×	24 0.3×	34 0.6×	16	681
Pouran Layegh	128 0.3×	251 1.5×	33 0.3×	16 0.2×	5 0.1×	65	760
Dan Heller	92 0.2×	33 0.2×	81 0.7×	18 0.2×	19 0.3×	32	758

Countries citing papers authored by Dehong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Dehong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehong Ma

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