Dongshu Wang

47 total papers · 598 total citations
35 papers, 499 citations indexed

About

Dongshu Wang is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics. According to data from OpenAlex, Dongshu Wang has authored 35 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Dongshu Wang's work include Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and stochastic dynamics and bifurcation (10 papers). Dongshu Wang is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and stochastic dynamics and bifurcation (10 papers). Dongshu Wang collaborates with scholars based in China, United States and South Korea. Dongshu Wang's co-authors include Lihong Huang, Longkun Tang, Zuowei Cai, Lihong Huang, Xiaoqin Zeng, Ahmed A. Issa, James E. Saal, Vinay I. Hegde, Bi‐Cheng Zhou and Chris Wolverton and has published in prestigious journals such as Acta Materialia, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Dongshu Wang

33 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Dongshu Wang	349	219	111	91	52	35	499
Xiaojun Liu	201 0.6×	245 1.1×	73 0.7×	31 0.3×	11 0.2×	60	510
Li Li	317 0.9×	173 0.8×	98 0.9×	131 1.4×	47 0.9×	41	524
Kelin Li	487 1.4×	293 1.3×	57 0.5×	195 2.1×	26 0.5×	48	549
Shiju Yang	450 1.3×	242 1.1×	159 1.4×	60 0.7×	11 0.2×	26	518
Xianghui Zhou	222 0.6×	120 0.5×	212 1.9×	55 0.6×	10 0.2×	34	531
Xueliang Liu	201 0.6×	27 0.1×	155 1.4×	32 0.4×	46 0.9×	43	575
Israr Ahmad	311 0.9×	368 1.7×	29 0.3×	46 0.5×	25 0.5×	61	612
Long-Jye Sheu	173 0.5×	356 1.6×	18 0.2×	41 0.5×	11 0.2×	25	556
Jia Jia	369 1.1×	258 1.2×	190 1.7×	172 1.9×	34 0.7×	27	558
Mohammed-Salah Abdelouahab	180 0.5×	242 1.1×	91 0.8×	40 0.4×	104 2.0×	28	488

Countries citing papers authored by Dongshu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Dongshu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongshu Wang

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