Xingya Wang

57 total papers · 481 total citations
34 papers, 292 citations indexed

About

Xingya Wang is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Xingya Wang has authored 34 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 18 papers in Software and 10 papers in Artificial Intelligence. Recurrent topics in Xingya Wang's work include Software Testing and Debugging Techniques (17 papers), Software Reliability and Analysis Research (10 papers) and Software Engineering Research (10 papers). Xingya Wang is often cited by papers focused on Software Testing and Debugging Techniques (17 papers), Software Reliability and Analysis Research (10 papers) and Software Engineering Research (10 papers). Xingya Wang collaborates with scholars based in China, United States and Singapore. Xingya Wang's co-authors include Shujuan Jiang, Yanmei Zhang, Xiaolin Ju, Xiang Chen, Shoubing Huang, Weisong Sun, Qingfeng Meng, Zhenyu Chen, Yuan Zhao and Chenchen Xu and has published in prestigious journals such as Scientific Reports, IEEE Access and Agricultural and Forest Meteorology.

In The Last Decade

Xingya Wang

32 papers receiving 285 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xingya Wang 140 105 56 51 44 34 292
Richa Sharma 84 0.6× 12 0.1× 93 1.7× 7 0.1× 5 0.1× 45 310
Pooja Rani 49 0.3× 23 0.2× 89 1.6× 3 0.1× 36 0.8× 57 208
Isabel María Del Águila Cano 156 1.1× 97 0.9× 51 0.9× 3 0.1× 30 324
Alejandro Rago 72 0.5× 20 0.2× 178 3.2× 5 0.1× 5 0.1× 38 270
Yoshiaki Kasahara 25 0.2× 8 0.1× 158 2.8× 16 0.3× 17 0.4× 37 294
Tianyu Du 40 0.3× 8 0.1× 32 0.6× 19 0.4× 5 0.1× 23 246
Saroj Ratnoo 62 0.4× 13 0.1× 7 0.1× 5 0.1× 7 0.2× 45 233
Ania Cravero 74 0.5× 11 0.1× 112 2.0× 4 0.1× 2 0.0× 31 294
Zhiyu Li 96 0.7× 60 0.6× 7 0.1× 16 0.3× 36 251
Alberto Pan 196 1.4× 17 0.2× 30 0.5× 36 0.7× 1 0.0× 28 290

Countries citing papers authored by Xingya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingya Wang

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

All Works

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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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