Zhe Dang

119 total papers · 996 total citations
49 papers, 313 citations indexed

About

Zhe Dang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software. According to data from OpenAlex, Zhe Dang has authored 49 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 16 papers in Artificial Intelligence and 16 papers in Software. Recurrent topics in Zhe Dang's work include Formal Methods in Verification (21 papers), semigroups and automata theory (15 papers) and Software Testing and Debugging Techniques (12 papers). Zhe Dang is often cited by papers focused on Formal Methods in Verification (21 papers), semigroups and automata theory (15 papers) and Software Testing and Debugging Techniques (12 papers). Zhe Dang collaborates with scholars based in United States, China and Taiwan. Zhe Dang's co-authors include Óscar H. Ibarra, Richard A. Kemmerer, Ömer Eğecioǧlu, T.R. Fischer, Xiao Zheng, Qin Li, Tevfik Bultan, Zhi Liu, Kunjie Xu and Jianwen Su and has published in prestigious journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing and Theoretical Computer Science.

In The Last Decade

Zhe Dang

47 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Zhe Dang	183	132	77	70	61	49	313
Simone Tini	193 1.1×	162 1.2×	68 0.9×	45 0.6×	32 0.5×	54	275
Stefano Crespi Reghizzi	156 0.9×	194 1.5×	73 0.9×	63 0.9×	101 1.7×	52	358
Martti Penttonen	162 0.9×	217 1.6×	85 1.1×	103 1.5×	11 0.2×	29	338
Adriano Peron	196 1.1×	206 1.6×	48 0.6×	90 1.3×	62 1.0×	66	361
Florent Jacquemard	132 0.7×	142 1.1×	165 2.1×	68 1.0×	12 0.2×	28	329
Eduardo Sany Laber	87 0.5×	189 1.4×	28 0.4×	127 1.8×	10 0.2×	59	313
Fernando L. Pelayo	113 0.6×	102 0.8×	33 0.4×	56 0.8×	17 0.3×	44	293
Derya Aksaray	147 0.8×	154 1.2×	13 0.2×	86 1.2×	41 0.7×	34	336
Sven Schewe	251 1.4×	221 1.7×	19 0.2×	42 0.6×	90 1.5×	66	359
José N. Oliveira	104 0.6×	154 1.2×	19 0.2×	67 1.0×	75 1.2×	54	280

Countries citing papers authored by Zhe Dang

Since Specialization

Citations

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

Fields of papers citing papers by Zhe Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Dang

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