Dexiang Yang

23 total papers · 974 total citations
7 papers, 62 citations indexed

About

Dexiang Yang is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Dexiang Yang has authored 7 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Dexiang Yang's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 diagnosis using AI (2 papers). Dexiang Yang is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 diagnosis using AI (2 papers). Dexiang Yang collaborates with scholars based in China and United States. Dexiang Yang's co-authors include Jian Li, Yun Ling, Min Zhou, Kui Liu, Zenghui Cheng, Tao Bai, Qi Zhang, Xiaoyan Jin, Ranran Dai and Ping Fang and has published in prestigious journals such as Epidemiology and Infection, Saudi Journal of Biological Sciences and Annals of Translational Medicine.

In The Last Decade

Dexiang Yang

6 papers receiving 61 citations

Author Peers

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

Author						Papers	Cites
Dexiang Yang	25	24	15	13	10	7	62
Jennifer Proper	25 1.0×	6 0.3×	15 1.0×	13 1.0×	6 0.6×	8	71
Natalie Boutin	25 1.0×	6 0.3×	8 0.5×	4 0.3×	18 1.8×	6	242
Paula Villares	33 1.3×	22 0.9×	26 1.7×	12 0.9×	2 0.2×	7	72
Francesco Cei	38 1.5×	14 0.6×	9 0.6×	23 1.8×	3 0.3×	10	62
Amel Amalou	9 0.4×	37 1.5×	14 0.9×	6 0.5×	22 2.2×	6	71
Aryeh Stock	23 0.9×	5 0.2×	8 0.5×	6 0.5×	10 1.0×	10	75
Stefano Scafuri	37 1.5×	156 6.5×	10 0.7×	14 1.1×	11 1.1×	8	216
Sergio Alvarez-Mulett	52 2.1×	7 0.3×	7 0.5×	20 1.5×	4 0.4×	8	99
João Luiz Fernandes Petriz	17 0.7×	9 0.4×	5 0.3×	8 0.6×	2 0.2×	10	65
M. Paoloni	60 2.4×	7 0.3×	12 0.8×	27 2.1×	3 0.3×	6	93

Countries citing papers authored by Dexiang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Dexiang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dexiang Yang

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