Z. Zhou

2.8k total citations
5 papers, 5 citations indexed

About

Z. Zhou is a scholar working on Computational Theory and Mathematics, Software and Artificial Intelligence. According to data from OpenAlex, Z. Zhou has authored 5 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 3 papers in Software and 2 papers in Artificial Intelligence. Recurrent topics in Z. Zhou's work include Software Testing and Debugging Techniques (3 papers), Formal Methods in Verification (3 papers) and Logic, programming, and type systems (2 papers). Z. Zhou is often cited by papers focused on Software Testing and Debugging Techniques (3 papers), Formal Methods in Verification (3 papers) and Logic, programming, and type systems (2 papers). Z. Zhou collaborates with scholars based in United States and China. Z. Zhou's co-authors include Benjamin Delaware and Suresh Jagannathan and has published in prestigious journals such as Proceedings of the ACM on Programming Languages and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Z. Zhou

4 papers receiving 5 citations

Peers

Z. Zhou
K. Jung United States
Joseph Gagliardo United States
W. C. Yan China
C. Collicott Germany
Eric Hanson United States
Patrick Conley United States
Ivanna Pidruchna United Kingdom
A. Chauvin Switzerland
K. Jung United States
Z. Zhou
Citations per year, relative to Z. Zhou Z. Zhou (= 1×) peers K. Jung

Countries citing papers authored by Z. Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Z. Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Z. Zhou. A scholar is included among the top collaborators of Z. Zhou 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 Z. Zhou. Z. Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Zhou, Z., et al.. (2025). Derivative-Guided Symbolic Execution. Proceedings of the ACM on Programming Languages. 9(POPL). 1475–1505.
2.
Zhou, Z., et al.. (2024). A HAT Trick: Automatically Verifying Representation Invariants using Symbolic Finite Automata. Proceedings of the ACM on Programming Languages. 8(PLDI). 1387–1411. 1 indexed citations
3.
Zhou, Z., et al.. (2023). Research on Multi-Strategy A * Path Planning Algorithm. 41. 1008–1011. 1 indexed citations
4.
Zhou, Z., et al.. (2023). Covering All the Bases: Type-Based Verification of Test Input Generators. Proceedings of the ACM on Programming Languages. 7(PLDI). 1244–1267. 2 indexed citations
5.
Zhou, Z., et al.. (2023). PLDI2023 Artifact: Covering All the Bases: Type-Based Verification of Test Input Generators. Zenodo (CERN European Organization for Nuclear Research). 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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