Zhenjiang Hu

4.0k total citations
162 papers, 1.7k citations indexed

About

Zhenjiang Hu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Zhenjiang Hu has authored 162 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 81 papers in Information Systems and 62 papers in Computer Networks and Communications. Recurrent topics in Zhenjiang Hu's work include Model-Driven Software Engineering Techniques (43 papers), Logic, programming, and type systems (39 papers) and Parallel Computing and Optimization Techniques (33 papers). Zhenjiang Hu is often cited by papers focused on Model-Driven Software Engineering Techniques (43 papers), Logic, programming, and type systems (39 papers) and Parallel Computing and Optimization Techniques (33 papers). Zhenjiang Hu collaborates with scholars based in Japan, China and United Kingdom. Zhenjiang Hu's co-authors include Masato Takeichi, Hideya Iwasaki, Yingfei Xiong, Keisuke Nakano, Soichiro Hidaka, Kiminori Matsuzaki, Hiroyuki Kato, Kazutaka Matsuda, Hong Mei and Shin-Cheng Mu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and ACM Computing Surveys.

In The Last Decade

Zhenjiang Hu

144 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenjiang Hu Japan 23 922 778 674 657 331 162 1.7k
Eric Eide United States 17 631 0.7× 1.0k 1.3× 820 1.2× 1.1k 1.7× 474 1.4× 49 2.2k
Shiva Nejati Luxembourg 25 756 0.8× 868 1.1× 355 0.5× 1.1k 1.7× 111 0.3× 86 1.9k
Sandeep Neema United States 22 517 0.6× 384 0.5× 480 0.7× 484 0.7× 428 1.3× 99 1.4k
Leonardo de Moura United States 17 827 0.9× 1.0k 1.3× 370 0.5× 1.1k 1.7× 203 0.6× 43 2.1k
G. Ramalingam United States 22 922 1.0× 545 0.7× 810 1.2× 647 1.0× 576 1.7× 90 2.1k
Paolo Arcaini Japan 19 621 0.7× 380 0.5× 253 0.4× 598 0.9× 93 0.3× 147 1.3k
Norbert Siegmund Germany 25 1.4k 1.5× 1.6k 2.0× 1.1k 1.6× 655 1.0× 121 0.4× 91 2.1k
Ed Merks Canada 4 1.1k 1.2× 1.1k 1.5× 426 0.6× 1.2k 1.9× 120 0.4× 6 1.9k
Erik Poll Netherlands 15 931 1.0× 367 0.5× 265 0.4× 471 0.7× 158 0.5× 58 1.4k
Peter H. Feiler United States 20 978 1.1× 807 1.0× 473 0.7× 651 1.0× 492 1.5× 89 1.9k

Countries citing papers authored by Zhenjiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenjiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenjiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenjiang Hu. A scholar is included among the top collaborators of Zhenjiang Hu 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 Zhenjiang Hu. Zhenjiang Hu 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.
Schrijvers, Tom, et al.. (2025). Biparsers: Exact Printing for Data Synchronisation. Proceedings of the ACM on Programming Languages. 9(POPL). 2205–2231. 1 indexed citations
2.
Schrijvers, Tom, et al.. (2025). Effectful Lenses: There and Back with Different Monads. Proceedings of the ACM on Programming Languages. 9(ICFP). 541–566.
3.
Polikarpova, Nadia, et al.. (2024). Superfusion: Eliminating Intermediate Data Structures via Inductive Synthesis. Proceedings of the ACM on Programming Languages. 8(PLDI). 939–964. 1 indexed citations
4.
Xiong, Yingfei, et al.. (2024). Decomposition-based Synthesis for Applying Divide-and-Conquer-like Algorithmic Paradigms. ACM Transactions on Programming Languages and Systems. 46(2). 1–59. 2 indexed citations
5.
He, Xiao, et al.. (2024). Fusing Direct Manipulations into Functional Programs. Proceedings of the ACM on Programming Languages. 8(POPL). 1211–1238.
6.
Wang, Meng, et al.. (2023). Contract lenses: Reasoning about bidirectional programs via calculation. Journal of Functional Programming. 33.
7.
Xiong, Yingfei, et al.. (2023). Improving Oracle-Guided Inductive Synthesis by Efficient Question Selection. Proceedings of the ACM on Programming Languages. 7(OOPSLA1). 819–847. 3 indexed citations
8.
He, Xiao, et al.. (2023). Bidirectional Object-Oriented Programming: Towards Programmatic and Direct Manipulation of Objects. Proceedings of the ACM on Programming Languages. 7(OOPSLA1). 230–255. 3 indexed citations
9.
Martins, Pedro, et al.. (2020). Unifying Parsing and Reflective Printing for Fully Disambiguated Grammars. New Generation Computing. 38(3). 423–476. 4 indexed citations
10.
Xiong, Yingfei, et al.. (2020). Guiding dynamic programing via structural probability for accelerating programming by example. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–29. 10 indexed citations
11.
Hu, Zhenjiang, et al.. (2018). An Axiomatic Basis for Bidirectional Programming. 2 indexed citations
12.
Matsuda, Kazutaka, et al.. (2009). Bidirectionalizing programs with duplication through complementary function derivation. 26(2). 56–75. 5 indexed citations
13.
Matsuzaki, Kiminori, Zhenjiang Hu, & Masato Takeichi. (2008). Derivation of Parallel Programs for Maximum Marking Problems on Lists. 49. 16–27. 1 indexed citations
14.
Liu, Dongxi, Zhenjiang Hu, Masato Takeichi, Kazuhiko Kakehi, & Hao Wang. (2007). A Java Library for Bidirectional XML Transformation. Journal of Information Processing. 2(3). 748–761. 1 indexed citations
15.
Mu, Shin-Cheng, Zhenjiang Hu, & Masato Takeichi. (2007). Bidirectionalizing Tree Transformation Languages: A Case Study. Journal of information processing. 2(2). 420–432. 7 indexed citations
16.
17.
Hu, Zhenjiang, Hideya Iwasaki, & Masato Takeichi. (2002). Flattening Transformation for Efficient Segmented Computation - Segmented Diffusion Theorem.. 246–257. 1 indexed citations
18.
Hu, Zhenjiang, Wei-Ngan Chin, & Masato Takeichi. (2000). Calculating a New Data Mining Algorithm for Market Basket Analysis. 2001. 169–184. 2 indexed citations
19.
Iwasaki, Hideya, Zhenjiang Hu, & Masato Takeichi. (1998). Towards Manipulation of Mutually Recursive Functions.. 61–79. 1 indexed citations
20.
Pacheco, Hugo, et al.. (1989). Model-based Determination of Object Position and Orientation without Matching. Journal of information processing. 12(1). 1–23. 3 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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