Wanwangying Ma

485 total citations
24 papers, 343 citations indexed

About

Wanwangying Ma is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Wanwangying Ma has authored 24 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 16 papers in Software and 12 papers in Computer Networks and Communications. Recurrent topics in Wanwangying Ma's work include Software Engineering Research (24 papers), Software Reliability and Analysis Research (14 papers) and Software System Performance and Reliability (12 papers). Wanwangying Ma is often cited by papers focused on Software Engineering Research (24 papers), Software Reliability and Analysis Research (14 papers) and Software System Performance and Reliability (12 papers). Wanwangying Ma collaborates with scholars based in China, Australia and Hong Kong. Wanwangying Ma's co-authors include Baowen Xu, Lin Chen, Yuming Zhou, Yibiao Yang, Xiangyu Zhang, Chen Lin, Yanhui Li, Lin Wei, Xiaoyu Zhou and Chen Lin and has published in prestigious journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Empirical Software Engineering.

In The Last Decade

Wanwangying Ma

24 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wanwangying Ma China	12	317	217	109	74	49	24	343
Mihai Codoban United States	5	270 0.9×	117 0.5×	94 0.9×	50 0.7×	43 0.9×	8	295
Latifa Guerrouj Canada	11	483 1.5×	211 1.0×	117 1.1×	98 1.3×	115 2.3×	19	517
Steven Raemaekers Netherlands	5	286 0.9×	110 0.5×	109 1.0×	76 1.0×	59 1.2×	8	313
Matheus Paixão Brazil	12	322 1.0×	141 0.6×	92 0.8×	30 0.4×	92 1.9×	29	356
Ivan Pashchenko Italy	9	271 0.9×	113 0.5×	102 0.9×	164 2.2×	26 0.5×	17	325
Stéphane Vaucher Canada	7	451 1.4×	343 1.6×	123 1.1×	136 1.8×	28 0.6×	10	478
Maen Hammad Jordan	10	302 1.0×	140 0.6×	99 0.9×	38 0.5×	62 1.3×	29	332
Santiago Vidal Argentina	9	267 0.8×	182 0.8×	116 1.1×	55 0.7×	20 0.4×	26	299
Claudia Marcos Argentina	10	300 0.9×	179 0.8×	93 0.9×	37 0.5×	21 0.4×	39	325
Napol Rachatasumrit United States	5	278 0.9×	208 1.0×	78 0.7×	58 0.8×	36 0.7×	9	314

Countries citing papers authored by Wanwangying Ma

Since Specialization

Citations

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

Fields of papers citing papers by Wanwangying Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanwangying Ma

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

Ma, Wanwangying, et al.. (2022). Collaboration in software ecosystems: A study of work groups in open environment. Information and Software Technology. 145. 106849–106849. 11 indexed citations

Chen, Lin, et al.. (2022). Towards Better Dependency Management: A First Look at Dependency Smells in Python Projects. IEEE Transactions on Software Engineering. 49(4). 1741–1765. 19 indexed citations

Li, Yanhui, Wanwangying Ma, Yibiao Yang, et al.. (2020). CBUA: A Probabilistic, Predictive, and Practical Approach for Evaluating Test Suite Effectiveness. IEEE Transactions on Software Engineering. 48(3). 1067–1096. 9 indexed citations

Ma, Wanwangying, Lin Chen, Xiangyu Zhang, et al.. (2020). Impact analysis of cross-project bugs on software ecosystems. 100–111. 11 indexed citations

Li, Yanhui, Wanwangying Ma, Yuming Zhou, et al.. (2020). Boosting crash-inducing change localization with rank-performance-based feature subset selection. Empirical Software Engineering. 25(3). 1905–1950. 2 indexed citations

Li, Yanhui, et al.. (2020). An Empirical Study on Dynamic Typing Related Practices in Python Systems. 83–93. 16 indexed citations

Ding, Hui, Wanwangying Ma, Lin Chen, Yuming Zhou, & Baowen Xu. (2018). Predicting the Breakability of Blocking Bug Pairs. 219–228. 3 indexed citations

Liu, Huihui, et al.. (2018). Exploring the Impact of Code Smells on Fine-Grained Structural Change-Proneness. International Journal of Software Engineering and Knowledge Engineering. 28(10). 1487–1516. 4 indexed citations

Luo, Yang, Yangyang Zhao, Wanwangying Ma, & Chen Lin. (2017). What are the Factors Impacting Build Breakage?. 139–142. 13 indexed citations

10.

Ma, Wanwangying, et al.. (2017). A study on the changes of dynamic feature code when fixing bugs: towards the benefits and costs of Python dynamic features. Science China Information Sciences. 61(1). 12 indexed citations

11.

Chen, Lin, et al.. (2017). Understanding metric-based detectable smells in Python software: A comparative study. Information and Software Technology. 94. 14–29. 25 indexed citations

12.

Ma, Wanwangying, Lin Chen, Yuming Zhou, & Baowen Xu. (2016). Do We Have a Chance to Fix Bugs When Refactoring Code Smells?. 24–29. 11 indexed citations

13.

Chen, Lin, Wanwangying Ma, Yuming Zhou, et al.. (2016). Empirical analysis of network measures for predicting high severity software faults. Science China Information Sciences. 59(12). 14 indexed citations

14.

Ma, Wanwangying, et al.. (2016). Tracking Down Dynamic Feature Code Changes against Python Software Evolution. 33. 54–63. 4 indexed citations

15.

Chen, Lin, et al.. (2016). Detecting Code Smells in Python Programs. 18–23. 27 indexed citations

16.

Wei, Lin, et al.. (2016). An Empirical Study on the Characteristics of Python Fine-Grained Source Code Change Types. 91. 188–199. 13 indexed citations

17.

Ma, Wanwangying, Lin Chen, Yibiao Yang, Yuming Zhou, & Baowen Xu. (2015). Empirical analysis of network measures for effort-aware fault-proneness prediction. Information and Software Technology. 69. 50–70. 49 indexed citations

18.

Chen, Lin, et al.. (2015). An empirical study on the impact of Python dynamic features on change-proneness. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 1 indexed citations

19.

Ma, Wanwangying, et al.. (2015). An empirical study on the impact of Python dynamic features on change-proneness. Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering. 2015. 134–139. 25 indexed citations

20.

Ma, Wanwangying, Lin Chen, Yuming Zhou, Baowen Xu, & Xiaoyu Zhou. (2015). Are Anti-patterns Coupled? An Empirical Study. 242–251. 6 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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