Geguang Pu

3.1k total citations · 2 hit papers
118 papers, 1.7k citations indexed

About

Geguang Pu is a scholar working on Artificial Intelligence, Software and Information Systems. According to data from OpenAlex, Geguang Pu has authored 118 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 49 papers in Software and 39 papers in Information Systems. Recurrent topics in Geguang Pu's work include Formal Methods in Verification (38 papers), Software Testing and Debugging Techniques (31 papers) and Service-Oriented Architecture and Web Services (21 papers). Geguang Pu is often cited by papers focused on Formal Methods in Verification (38 papers), Software Testing and Debugging Techniques (31 papers) and Service-Oriented Architecture and Web Services (21 papers). Geguang Pu collaborates with scholars based in China, United States and Singapore. Geguang Pu's co-authors include Ting Su, Yang Liu, Zhendong Su, Hong Liu, Pengfei Zhang, Yan Zhang, Jifeng He, Guozhu Meng, Yuting Chen and Ke Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Geguang Pu

105 papers receiving 1.6k citations

Hit Papers

Guided, stochastic model-based GUI testing of Android apps 2017 2026 2020 2023 2017 2021 50 100 150 200 250

Peers

Geguang Pu
Comparison fields: 5 of 77
  • Information Systems 823
  • Software 657
  • Artificial Intelligence 643
  • Signal Processing 499
  • Computer Networks and Communications 409
Replace Shang‐Wei Lin with:
Shang‐Wei Lin Singapore
He Jiang China
Işıl Dillig United States
Leonardo Mariani Italy
Deqing Zou China
Sergio Segura Spain
Erik Poll Netherlands
Agostino Cortesi Italy
Leonardo de Moura United States
Guozhu Meng China
Shang‐Wei Lin Singapore View profile →
Citations per field, relative to Geguang Pu
Geguang Pu · 1×
Citations per year, relative to Geguang Pu
Geguang Pu · 1×

Countries citing papers authored by Geguang Pu

Since Specialization
Citations

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

Fields of papers citing papers by Geguang Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geguang Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Geguang Pu. A scholar is included among the top collaborators of Geguang Pu 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 Geguang Pu. Geguang Pu 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 9
3 1
4 3
5 2
6 6
7 10
8 0
9 1
10 0
11 58
12
Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing breakdown →
207
13 27
14 97
15 4
16
Approximate Reachability
1
17 4
18 4
19 23
20 1

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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