Peng Guo

1.5k citations
40 papers · 1.0k indexed · h-index 15
Topics
AI in cancer detection (14 papers)Cervical Cancer and HPV Research (13 papers)Auditing, Earnings Management, Governance (12 papers)

In The Last Decade

Peng Guo

38 papers receiving 998 citations

Peers

Peng Guo
Comparison fields: 5 of 109
  • Accounting 445
  • Artificial Intelligence 343
  • Strategy and Management 190
  • Epidemiology 171
  • Oncology 137
Replace Ling He with:
Ling He China
Alex Wright United States
Ling Ma China
Jeffrey Ng Hong Kong
Lin Zheng China
James Hall United States
Philippe du Jardin France
Mohammad Mohammad Malaysia
Sandeep Goel India
Philipp Hacker Germany
Peng Guo relative to Ling He China Ling He's profile →
Citations per field
00.5×7.6×
Ling He · 1×
Citations per year

Countries citing papers authored by Peng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Peng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Guo. A scholar is included among the top collaborators of Peng Guo 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 Peng Guo. Peng Guo 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 0
2 5
3 7
4 8
5 7
6 38
7 44
8 34
9 5
10 30
11 4
12 145
13 6
14
The Evaluation of E-commerce Efficiency in China using DEA-Tobit model: evidence from Taobao data
2
15 10
16 6
17 1
18
Do Big 4 Auditors Provide Higher Audit Quality after Controlling for the Endogenous Choice of Auditor
1
19 5
20 2

About Peng Guo

Peng Guo is a scholar working on Accounting, Artificial Intelligence and Business and International Management, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Cervical Cancer and HPV Research (13 papers) and Auditing, Earnings Management, Governance (12 papers). The work is most often cited by research in Accounting (445 citations), Strategy and Management (190 citations) and Artificial Intelligence (343 citations). Peng Guo has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include John Daniel Eshleman, Sameer Antani, Zhiyun Xue, L. Rodney Long, William V. Stoecker, Haidar Almubarak, Jason Hagerty, Rhett J Drugge, Harold Rabinovitz and Margaret Oliviero. Their work appears in journals such as International Journal of Cancer, Expert Systems with Applications 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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