Chenggang Bai

740 citations
36 papers · 467 indexed · h-index 13
Topics
Software Reliability and Analysis Research (18 papers)Software Testing and Debugging Techniques (16 papers)Software Engineering Research (13 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Chenggang Bai

31 papers receiving 443 citations

Peers

Chenggang Bai
Comparison fields: 5 of 54
  • Software 263
  • Information Systems 197
  • Computer Networks and Communications 144
  • Safety, Risk, Reliability and Quality 82
  • Artificial Intelligence 80
Replace Yao Dai with:
Yao Dai China
Minyan Lu China
Bharat B. Madan United States
Thomas Stifter Luxembourg
Myron Hecht United States
Neil Storey United Kingdom
Lin Huang China
Zhengjun Zhai China
Andrey Morozov Germany
Chenggang Bai relative to Yao Dai China Yao Dai's profile →
Citations per field
00.5×6.1×
Yao Dai · 1×
Citations per year

Countries citing papers authored by Chenggang Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chenggang Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenggang Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Chenggang Bai. A scholar is included among the top collaborators of Chenggang Bai 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 Chenggang Bai. Chenggang Bai 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
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2 0
3 0
4 4
5 3
6 0
7 0
8 19
9 7
10 19
11 2
12 12
13 17
14
A reliability improvement predictive approach to software testing with Bayesian method
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15 1
16 7
17 31
18 13
19 6
20 56

About Chenggang Bai

Chenggang Bai is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 36 papers that have together received 467 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (18 papers), Software Testing and Debugging Techniques (16 papers) and Software Engineering Research (13 papers). The work is most often cited by research in Software (263 citations), Safety, Risk, Reliability and Quality (82 citations) and Information Systems (197 citations). Chenggang Bai has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Kai‐Yuan Cai, Quan Quan, Qingpei Hu, Szu Hui Ng, Min Xie, Liman Yang, Jie Lü, Qingzhen Zhang, Yan Shi and Guangquan Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Transactions on Software Engineering.

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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