Dejia Zhang

48 total papers · 431 total citations
31 papers, 301 citations indexed

About

Dejia Zhang is a scholar working on Computational Mechanics, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Dejia Zhang has authored 31 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 5 papers in Plant Science and 4 papers in Animal Science and Zoology. Recurrent topics in Dejia Zhang's work include Lattice Boltzmann Simulation Studies (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Meat and Animal Product Quality (4 papers). Dejia Zhang is often cited by papers focused on Lattice Boltzmann Simulation Studies (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Meat and Animal Product Quality (4 papers). Dejia Zhang collaborates with scholars based in China and United States. Dejia Zhang's co-authors include Arthur W. Mahoney, Aiguo Xu, Yanbiao Gan, Yingjun Li, Yudong Zhang, Deloy G. Hendricks, Fen Ye, Charles E. Carpenter, Jinyuan Jia and Shuang Liang and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Journal of Materials Processing Technology.

In The Last Decade

Dejia Zhang

26 papers receiving 281 citations

Author Peers

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

Author Last Decade Papers Cites
Dejia Zhang 86 71 61 49 44 31 301
H.M. Vollebregt 66 0.8× 55 0.8× 25 0.4× 2 0.0× 19 0.4× 15 325
W. Stolp 44 0.5× 117 1.6× 51 0.8× 5 0.1× 123 2.8× 35 320
Samuel G. McNeill 41 0.5× 66 0.9× 173 2.8× 19 0.4× 40 332
Chengbao Hu 24 0.3× 22 0.3× 47 0.8× 1 0.0× 32 0.7× 26 325
Linyu Liu 4 0.0× 21 0.3× 64 1.0× 10 0.2× 15 0.3× 41 351
Ge Yin 25 0.3× 90 1.3× 19 0.3× 3 0.1× 105 2.4× 19 294
Lynch 4 0.0× 19 0.3× 80 1.3× 106 2.2× 79 1.8× 28 352
Xinyi Zhang 20 0.2× 14 0.2× 33 0.5× 1 0.0× 62 1.4× 41 327
M. J. Nightingale 7 0.1× 14 0.2× 199 3.3× 37 0.8× 32 0.7× 20 308
Z. Schmilovitch 56 0.7× 57 0.8× 142 2.3× 5 0.1× 27 359

Countries citing papers authored by Dejia Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dejia Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejia Zhang

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