Naijun Zhan

2.2k total citations
75 papers, 450 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 75 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Theory and Mathematics, 24 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, Bican Xia, Martin Fränzle, Shuling Wang, Jie An, Bohua Zhan, Hengjun Zhao, Mingshuai Chen, Miaomiao Zhang and Brian Larson and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Parallel and Distributed Systems and SIAM Journal on Control and Optimization.

In The Last Decade

Naijun Zhan

68 papers receiving 443 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Naijun Zhan China 12 256 143 136 99 80 75 450
Stefan Ratschan Czechia 9 269 1.1× 106 0.7× 121 0.9× 89 0.9× 48 0.6× 29 377
Colas Le Guernic France 7 174 0.7× 63 0.4× 133 1.0× 74 0.7× 36 0.5× 8 332
Eugène Asarin France 11 631 2.5× 223 1.6× 176 1.3× 158 1.6× 150 1.9× 31 770
Alongkrit Chutinan United States 7 241 0.9× 81 0.6× 167 1.2× 76 0.8× 100 1.3× 8 406
Laurent Granvilliers France 10 193 0.8× 84 0.6× 92 0.7× 33 0.3× 19 0.2× 22 330
Davide Bresolin Italy 13 328 1.3× 344 2.4× 61 0.4× 101 1.0× 60 0.8× 58 593
Jürgen Wolff von Gudenberg Germany 9 101 0.4× 103 0.7× 30 0.2× 87 0.9× 27 0.3× 40 306
Henny B. Sipma United States 13 402 1.6× 289 2.0× 33 0.2× 194 2.0× 104 1.3× 25 513
Michel Rueher France 13 164 0.6× 116 0.8× 39 0.3× 207 2.1× 37 0.5× 34 475
Man‐Tak Shing United States 13 155 0.6× 164 1.1× 49 0.4× 188 1.9× 58 0.7× 79 504

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

20 of 20 papers shown
1.
Zhang, Wei, Yunlong Yu, Xiao Jiang, et al.. (2025). WCET Estimation for CNN Inference on FPGA SoC With Multi-DPU Engines. IEEE Transactions on Parallel and Distributed Systems. 36(6). 1146–1160.
2.
Zhan, Naijun, Jim Woodcock, Ji Wang, & Mingshuai Chen. (2025). A Brief History of Formal Methods in China. Formal Aspects of Computing.
3.
Xu, Xiong, et al.. (2025). Modeling and Verification of Hybrid Systems by Extending AADL. ACM Transactions on Software Engineering and Methodology. 35(3). 1–51. 1 indexed citations
4.
Wang, Shuling, et al.. (2024). Formally Verified C Code Generation from Hybrid Communicating Sequential Processes. 123–134. 1 indexed citations
5.
Wu, Chi-Hsin, et al.. (2024). Modeling and Analysis of the LatestTime Message Synchronization Policy in ROS. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3576–3587.
6.
Wang, Qiuye, et al.. (2024). Synthesizing Invariants for Polynomial Programs by Semidefinite Programming. ACM Transactions on Programming Languages and Systems. 47(1). 1–35. 1 indexed citations
7.
Bai, Xue, Naijun Zhan, & Martin Fränzle. (2023). Reach-Avoid Analysis for Polynomial Stochastic Differential Equations. IEEE Transactions on Automatic Control. 69(3). 1882–1889. 7 indexed citations
8.
Bai, Xue, Naijun Zhan, Martin Fränzle, Ji Wang, & Wanwei Liu. (2023). Reach-Avoid Verification Based on Convex Optimization. IEEE Transactions on Automatic Control. 69(1). 598–605. 7 indexed citations
9.
Chen, Yu‐Fang, et al.. (2023). A decision procedure for string constraints with string/integer conversion and flat regular constraints. Acta Informatica. 61(1). 23–52. 3 indexed citations
10.
Zhan, Naijun, et al.. (2023). Safety guarantee for time-delay systems with disturbances. Science China Information Sciences. 66(3). 3 indexed citations
11.
Wang, Qiuye, Mingshuai Chen, Xue Bai, Naijun Zhan, & Joost-Pieter Katoen. (2022). Encoding inductive invariants as barrier certificates: Synthesis via difference-of-convex programming. Information and Computation. 289. 104965–104965. 4 indexed citations
12.
Bai, Xue & Naijun Zhan. (2021). Robust Invariant Sets Computation for Discrete-Time Perturbed Nonlinear Systems. IEEE Transactions on Automatic Control. 67(2). 1053–1060. 5 indexed citations
13.
Bai, Xue, Martin Fränzle, Naijun Zhan, Sergiy Bogomolov, & Bican Xia. (2020). Safety Verification for Random Ordinary Differential Equations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 4090–4101. 3 indexed citations
14.
Bai, Xue, et al.. (2020). Over- and Underapproximating Reach Sets for Perturbed Delay Differential Equations. IEEE Transactions on Automatic Control. 66(1). 283–290. 5 indexed citations
15.
Bai, Xue, Martin Fränzle, & Naijun Zhan. (2019). Inner-Approximating Reachable Sets for Polynomial Systems With Time-Varying Uncertainties. IEEE Transactions on Automatic Control. 65(4). 1468–1483. 28 indexed citations
16.
Liu, Jiang, Naijun Zhan, & Hengjun Zhao. (2012). Automatically Discovering Relaxed Lyapunov Functions for Polynomial Dynamical Systems. Mathematics in Computer Science. 6(4). 395–408. 6 indexed citations
17.
Zhan, Naijun & Mila Majster-Cederbaum. (2010). On hierarchically developing reactive systems. Information and Computation. 208(9). 997–1019. 1 indexed citations
18.
Xu, Qiwen & Naijun Zhan. (2008). Formalising scheduling theories in duration calculus. Nordic journal of computing. 14(3). 173–201. 2 indexed citations
19.
Chen, Zhenbang, Zhiming Liu, Anders P. Ravn, Volker Stolz, & Naijun Zhan. (2008). Refinement and verification in component-based model-driven design. Science of Computer Programming. 74(4). 168–196. 22 indexed citations
20.
Zhan, Naijun. (2001). An intuitive formal proof for Deadline Driven Scheduler. Journal of Computer Science and Technology. 16(2). 146–158. 1 indexed citations

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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