Donghua Yu

43 total papers · 622 total citations
25 papers, 366 citations indexed

About

Donghua Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Donghua Yu has authored 25 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Donghua Yu's work include Advanced Clustering Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers) and Advanced Graph Neural Networks (3 papers). Donghua Yu is often cited by papers focused on Advanced Clustering Algorithms Research (4 papers), Complex Network Analysis Techniques (3 papers) and Advanced Graph Neural Networks (3 papers). Donghua Yu collaborates with scholars based in China, United Kingdom and United States. Donghua Yu's co-authors include Maozu Guo, Guojun Liu, Xiaoyan Liu, Shuang Yao, Weiqing Wang, Qi Li, Jiong Yu, Jianhua Liu, Shigen Shen and Lina Liu and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

Donghua Yu

22 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Donghua Yu	169	80	67	54	42	25	366
Imran Khan	155 0.9×	68 0.8×	59 0.9×	34 0.6×	34 0.8×	28	296
Jun Chen	80 0.5×	61 0.8×	46 0.7×	22 0.4×	50 1.2×	33	299
Anwar Ul Haq	160 0.9×	35 0.4×	52 0.8×	19 0.4×	25 0.6×	24	353
Weihong Cai	140 0.8×	64 0.8×	29 0.4×	23 0.4×	54 1.3×	32	360
Shimon Schocken	167 1.0×	36 0.5×	23 0.3×	21 0.4×	28 0.7×	28	304
C. Lakshmi	66 0.4×	30 0.4×	180 2.7×	18 0.3×	26 0.6×	26	389
Adán José-García	208 1.2×	21 0.3×	59 0.9×	31 0.6×	46 1.1×	16	343
V. Susheela Devi	161 1.0×	55 0.7×	74 1.1×	7 0.1×	51 1.2×	33	343
Haimonti Dutta	161 1.0×	118 1.5×	25 0.4×	19 0.4×	39 0.9×	21	374
Levente Kocsis	217 1.3×	20 0.3×	40 0.6×	22 0.4×	81 1.9×	24	371

Countries citing papers authored by Donghua Yu

Since Specialization

Citations

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

Fields of papers citing papers by Donghua Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghua Yu

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