Xiaoguang Mao

2.8k citations
120 papers · 1.7k indexed · 2 hit papers · h-index 21
Topics
Software Testing and Debugging Techniques (81 papers)Software Engineering Research (76 papers)Software Reliability and Analysis Research (57 papers)
Partner nations
ChinaLuxembourgSingapore

In The Last Decade

Xiaoguang Mao

109 papers receiving 1.6k citations

Hit Papers

The strength of random search on automated program repair20142026201820222014202450100150200

Peers

Xiaoguang Mao
Comparison fields: 5 of 80
  • Information Systems 1.2k
  • Software 1.1k
  • Computer Networks and Communications 357
  • Artificial Intelligence 327
  • Signal Processing 199
Replace Saeed Parsa with:
Saeed Parsa Iran
Terence Parr United States
Arnaud Gotlieb Norway
Wenchang Shi China
Anil Kumar Tripathi India
Artur Andrzejak Germany
Neil Walkinshaw United Kingdom
Ketil Stølen Norway
Umberto Villano Italy
Javam C. Machado Brazil
Xiaoguang Mao relative to Saeed Parsa Iran Saeed Parsa's profile →
Citations per field
00.5×4.6×
Saeed Parsa · 1×
Citations per year

Countries citing papers authored by Xiaoguang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoguang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoguang Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoguang Mao. A scholar is included among the top collaborators of Xiaoguang 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 Xiaoguang Mao. Xiaoguang Mao 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
#WorkIndexed citations
1 6
2 0
3
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learningbreakdown →
78
4 1
5 0
6 4
7 0
8 4
9 1
10 2
11 0
12 15
13 14
14 29
15 1
16 19
17 5
18
Enhancing Contexts for Automated Debugging Techniques
1
19
A Classification Model for Software Trustworthiness
9
20
Aspect-Oriented Software Development:Philosophy and Observation
1

About Xiaoguang Mao

Xiaoguang Mao is a scholar working on Software, Information Systems and Hardware and Architecture, having authored 120 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (81 papers), Software Engineering Research (76 papers) and Software Reliability and Analysis Research (57 papers). The work is most often cited by research in Software (1.1k citations), Information Systems (1.2k citations) and Signal Processing (199 citations). Xiaoguang Mao has collaborated with scholars based in China, Luxembourg and Singapore. Frequent co-authors include Yan Lei, Yuhua Qi, Chengsong Wang, Shangwen Wang, Ziying Dai, Bo Lin, Ming Wen, Zhuo Zhang, Meng Yan and Zhuo Zhang. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and IEEE Access.

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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