Guan Wang

859 total citations
22 papers, 583 citations indexed

About

Guan Wang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Guan Wang has authored 22 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Guan Wang's work include Software Testing and Debugging Techniques (6 papers), Software System Performance and Reliability (5 papers) and Software Reliability and Analysis Research (4 papers). Guan Wang is often cited by papers focused on Software Testing and Debugging Techniques (6 papers), Software System Performance and Reliability (5 papers) and Software Reliability and Analysis Research (4 papers). Guan Wang collaborates with scholars based in China, Australia and United States. Guan Wang's co-authors include Philip S. Yu, Sihong Xie, Bing Liu, Bing Liu, Chang‐ai Sun, Tsong Yueh Chen, Huai Liu, Shuyang Lin, Dave Towey and Kai‐Yuan Cai and has published in prestigious journals such as Journal of Hazardous Materials, Journal of the Optical Society of America B and Journal of Health Economics.

In The Last Decade

Guan Wang

20 papers receiving 547 citations

Peers

Guan Wang
Comparison fields: 5 of 62
  • Information Systems 418
  • Artificial Intelligence 311
  • Computer Networks and Communications 168
  • Sociology and Political Science 129
  • Signal Processing 94
Replace Deniz Kılınç with:
Deniz Kılınç Türkiye
Jianping Zeng China
Pietro Colombo Italy
Marianthi Theoharidou Greece
Vincent C. Hu United States
Damiano Torre Canada
Trong Duc Le South Korea
Twittie Senivongse Thailand
G. Coulson United Kingdom
Huashan Chen United States
Deniz Kılınç Türkiye View profile →
Citations per field, relative to Guan Wang
Guan Wang · 1×
Citations per year, relative to Guan Wang
Guan Wang · 1×

Countries citing papers authored by Guan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guan Wang. A scholar is included among the top collaborators of Guan 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 Guan Wang. Guan Wang 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
# Work Indexed citations
1 0
2 2
3 0
4 2
5 15
6 4
7 7
8 1
9 4
10 10
11 10
12 140
13 5
14 4
15 18
16 4
17 34
18 34
19 243
20 28

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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