Yunwei Dong

108 total papers · 466 total citations
80 papers, 278 citations indexed

About

Yunwei Dong is a scholar working on Software, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yunwei Dong has authored 80 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Software, 28 papers in Artificial Intelligence and 22 papers in Information Systems. Recurrent topics in Yunwei Dong's work include Software Reliability and Analysis Research (30 papers), Software Testing and Debugging Techniques (20 papers) and Advanced Software Engineering Methodologies (18 papers). Yunwei Dong is often cited by papers focused on Software Reliability and Analysis Research (30 papers), Software Testing and Debugging Techniques (20 papers) and Advanced Software Engineering Methodologies (18 papers). Yunwei Dong collaborates with scholars based in China, United States and Australia. Yunwei Dong's co-authors include Xingshe Zhou, Fan Zhang, Junwen Chen, Brian Larson, Naijun Zhan, Yu Zhang, Tsong Yueh Chen, Chang‐ai Sun, Wei Song and Jidong Lu and has published in prestigious journals such as Neural Networks, Applied Soft Computing and Applied Sciences.

In The Last Decade

Yunwei Dong

66 papers receiving 266 citations

Author Peers

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

Author						Papers	Cites
Yunwei Dong	140	64	63	58	54	80	278
Zhengjun Zhai	62 0.4×	35 0.5×	35 0.6×	51 0.9×	43 0.8×	56	293
Leı̈la Kloul	77 0.6×	77 1.2×	81 1.3×	51 0.9×	84 1.6×	39	301
Alan Wassyng	156 1.1×	97 1.5×	53 0.8×	104 1.8×	50 0.9×	49	299
Virginie Wiels	111 0.8×	34 0.5×	75 1.2×	34 0.6×	87 1.6×	25	209
H. Hecht	159 1.1×	78 1.2×	29 0.5×	74 1.3×	17 0.3×	40	311
Mario Gleirscher	91 0.7×	46 0.7×	83 1.3×	51 0.9×	43 0.8×	30	228
Khaza Anuarul Hoque	44 0.3×	41 0.6×	83 1.3×	34 0.6×	31 0.6×	38	259
Francesca Saglietti	127 0.9×	72 1.1×	42 0.7×	33 0.6×	29 0.5×	33	208
Matthias Biehl	156 1.1×	139 2.2×	106 1.7×	30 0.5×	42 0.8×	34	298
Laura Carnevali	77 0.6×	26 0.4×	48 0.8×	34 0.6×	157 2.9×	43	309

Countries citing papers authored by Yunwei Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yunwei Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunwei Dong

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