Weiyong Zhang

34 total papers · 700 total citations
25 papers, 518 citations indexed

About

Weiyong Zhang is a scholar working on Management Information Systems, Strategy and Management and Management of Technology and Innovation. According to data from OpenAlex, Weiyong Zhang has authored 25 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 6 papers in Strategy and Management and 5 papers in Management of Technology and Innovation. Recurrent topics in Weiyong Zhang's work include Quality and Supply Management (4 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Entrepreneurship Studies and Influences (3 papers). Weiyong Zhang is often cited by papers focused on Quality and Supply Management (4 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Entrepreneurship Studies and Influences (3 papers). Weiyong Zhang collaborates with scholars based in United States, China and United Arab Emirates. Weiyong Zhang's co-authors include Xiaobo Xu, Shukuan Zhao, Runping Guo, Cai Li, Yun Chen, Kefan Xie, Reza Barkhi, Arthur V. Hill, Hong Jiang and Lian Duan and has published in prestigious journals such as Journal of Business Research, Technological Forecasting and Social Change and International Journal of Information Management.

In The Last Decade

Weiyong Zhang

25 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Weiyong Zhang	190	154	136	115	69	25	518
Lejla Turulja	175 0.9×	104 0.7×	96 0.7×	117 1.0×	72 1.0×	40	619
Alberto Pezzi	251 1.3×	106 0.7×	92 0.7×	65 0.6×	82 1.2×	26	543
Daniel Nepelski	263 1.4×	165 1.1×	194 1.4×	114 1.0×	46 0.7×	27	531
Dennis M. Steininger	165 0.9×	203 1.3×	119 0.9×	177 1.5×	91 1.3×	25	561
Alberto Nucciarelli	199 1.0×	136 0.9×	97 0.7×	63 0.5×	89 1.3×	28	527
Mohammad Fakhar Manesh	174 0.9×	98 0.6×	69 0.5×	156 1.4×	58 0.8×	21	611
Eduardo L. Giménez	164 0.9×	128 0.8×	105 0.8×	108 0.9×	184 2.7×	18	589
Joel K. Leidecker	226 1.2×	156 1.0×	95 0.7×	130 1.1×	66 1.0×	10	619
Prasanna Karhade	183 1.0×	171 1.1×	85 0.6×	40 0.3×	75 1.1×	28	468
Cong Cheng	299 1.6×	83 0.5×	104 0.8×	130 1.1×	69 1.0×	21	584

Countries citing papers authored by Weiyong Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Weiyong Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyong Zhang

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