Chengying Mao

897 total citations
77 papers, 603 citations indexed

About

Chengying Mao is a scholar working on Software, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Chengying Mao has authored 77 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Software, 47 papers in Information Systems and 32 papers in Computer Networks and Communications. Recurrent topics in Chengying Mao's work include Software Testing and Debugging Techniques (43 papers), Software Reliability and Analysis Research (32 papers) and Software Engineering Research (22 papers). Chengying Mao is often cited by papers focused on Software Testing and Debugging Techniques (43 papers), Software Reliability and Analysis Research (32 papers) and Software Engineering Research (22 papers). Chengying Mao collaborates with scholars based in China, Australia and Hong Kong. Chengying Mao's co-authors include Jinfu Chen, Xinxin Yu, Yansheng Lu, Qiang He, Dave Towey, Tsong Yueh Chen, Jinlong Zhang, Fei‐Ching Kuo, Xiaoyuan Xie and Rubing Huang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Physics of Fluids.

In The Last Decade

Chengying Mao

67 papers receiving 572 citations

Peers

Countries citing papers authored by Chengying Mao

Since Specialization

Citations

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

Fields of papers citing papers by Chengying Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengying Mao

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Geographic Space-Oriented Search Algorithm for the Robust Placement of Edge Servers 2025 ·IEEE Internet of Things Journal ·(unknown), Chengying Mao, (unknown), Tian Wang	0
2	An adaptive pairwise testing algorithm based on deep reinforcement learning 2025 ·Science of Computer Programming ·(unknown), Chengying Mao, Dave Towey, (unknown)	0
3	QoS prediction of cloud services by selective ensemble learning on prefilling‐based matrix factorizations 2024 ·Concurrency and Computation Practice and Experience ·Chengying Mao, (unknown), Dave Towey, (unknown), (unknown)	0
4	L′OP-ART: A linear-time adaptive random testing algorithm for object-oriented programs 2024 ·Journal of Systems and Software ·Jinfu Chen, (unknown), (unknown), (unknown), Li Zhu, Chengying Mao, (unknown), Rubing Huang	0
5	A design method of volute profile of multi-blade centrifugal fan based on DRBF model 2023 ·Physics of Fluids ·(unknown), (unknown), Chengying Mao, Dan He, (unknown)	5
6	Large-scale k Edge Server Placement Based on User Clustering and Intelligent Search 2023 ·Chengying Mao, (unknown)	1
7	Exploiting the Largest Available Zone: A Proactive Approach to Adaptive Random Testing by Exclusion 2020 ·IEEE Access ·Jinfu Chen, (unknown), T.H. Tse, Tsong Yueh Chen, (unknown), Chengying Mao, (unknown), Rubing Huang	2
8	A Taxonomic Review of Adaptive Random Testing for Numeric Programs 2019 ·arXiv (Cornell University) ·Jinfu Chen, (unknown), (unknown), Chengying Mao	0
9	A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk 2018 ·Complexity ·Chengying Mao, (unknown)	12
10	QoS Trust Rate Prediction for Web Services Using PSO-Based Neural Network 2016 ·Chengying Mao, (unknown)	5
11	Worst-input mutation approach to web services vulnerability testing based on SOAP messages 2014 ·Tsinghua Science & Technology ·Jinfu Chen, Huanhuan Wang, Dave Towey, Chengying Mao, Rubing Huang, Yongzhao Zhan	12
12	Harmony search-based test data generation for branch coverage in software structural testing 2013 ·Neural Computing and Applications ·Chengying Mao	20
13	Adaptive Random Testing Based on Two-Point Partitioning 2012 ·Chengying Mao	11
14	Towards a Data Complexity Metric Set for Web Service Composition 2011 ·Chengying Mao	2
15	Control and Data Complexity Metrics for Web Service Compositions 2010 ·Chengying Mao	5
16	DBViewer: A Tool for Visualizing and Measuring Dependency Relations between Tables in Database 2009 ·Chengying Mao	1
17	A specification-based testing framework for Web service-based software 2009 ·Chengying Mao	3
18	Software faults prediction based on grey system theory 2009 ·ACM SIGSOFT Software Engineering Notes ·Chengying Mao	3
19	CppTest: A Prototype Tool for Testing C/C++ Programs 2007 ·Chengying Mao, Yansheng Lu	4
20	Method of Inter-Class Test Order Determination for Object-Oriented Cluster Level Testing 2005 ·Mini-micro Systems ·Chengying Mao	0

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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