Naijun Zhan

244 total papers · 2.2k total citations
73 papers, 422 citations indexed

About

Naijun Zhan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software. According to data from OpenAlex, Naijun Zhan has authored 73 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Theory and Mathematics, 23 papers in Artificial Intelligence and 22 papers in Software. Recurrent topics in Naijun Zhan's work include Formal Methods in Verification (53 papers), Logic, programming, and type systems (13 papers) and Embedded Systems Design Techniques (13 papers). Naijun Zhan is often cited by papers focused on Formal Methods in Verification (53 papers), Logic, programming, and type systems (13 papers) and Embedded Systems Design Techniques (13 papers). Naijun Zhan collaborates with scholars based in China, Germany and United States. Naijun Zhan's co-authors include Xue Bai, Martin Fränzle, Bican Xia, Shuling Wang, Jie An, Hengjun Zhao, Bohua Zhan, Miaomiao Zhang, Yunwei Dong and Brian Larson and has published in prestigious journals such as IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Naijun Zhan

66 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Naijun Zhan	249	141	131	96	75	73	422
Stefan Ratschan	269 1.1×	105 0.7×	121 0.9×	88 0.9×	48 0.6×	29	377
James Kapinski	273 1.1×	151 1.1×	161 1.2×	187 1.9×	73 1.0×	34	492
Matthias Rungger	273 1.1×	90 0.6×	204 1.6×	60 0.6×	87 1.2×	34	424
Éric Goubault	319 1.3×	163 1.2×	36 0.3×	26 0.3×	70 0.9×	49	491
Michel Rueher	164 0.7×	116 0.8×	39 0.3×	207 2.2×	37 0.5×	34	476
Stefan Kowalewski	94 0.4×	39 0.3×	170 1.3×	43 0.4×	27 0.4×	53	387
Thorsten Theobald	222 0.9×	75 0.5×	25 0.2×	45 0.5×	44 0.6×	42	421
Juan A. Carrasco	111 0.4×	31 0.2×	24 0.2×	76 0.8×	55 0.7×	52	389
Martin Sjölund	284 1.1×	21 0.1×	131 1.0×	111 1.2×	39 0.5×	42	376
J.M. van de Mortel‐Fronczak	287 1.2×	76 0.5×	83 0.6×	94 1.0×	92 1.2×	63	433

Countries citing papers authored by Naijun Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Naijun Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naijun Zhan

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