Peng Guo

1.5k total citations
40 papers, 1.0k citations indexed

About

Peng Guo is a scholar working on Artificial Intelligence, Epidemiology and Accounting. According to data from OpenAlex, Peng Guo has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Epidemiology and 14 papers in Accounting. Recurrent topics in Peng Guo's work include AI in cancer detection (14 papers), Cervical Cancer and HPV Research (13 papers) and Auditing, Earnings Management, Governance (12 papers). Peng Guo is often cited by papers focused on AI in cancer detection (14 papers), Cervical Cancer and HPV Research (13 papers) and Auditing, Earnings Management, Governance (12 papers). Peng Guo collaborates with scholars based in United States, China and Netherlands. Peng Guo's co-authors include John Daniel Eshleman, Sameer Antani, Zhiyun Xue, L. Rodney Long, William V. Stoecker, Haidar Almubarak, R. Joe Stanley, Margaret Oliviero, Jason Hagerty and Harold Rabinovitz and has published in prestigious journals such as International Journal of Cancer, Expert Systems with Applications and IEEE Access.

In The Last Decade

Peng Guo

38 papers receiving 998 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peng Guo United States 15 445 343 190 171 137 40 1.0k
Ling He China 20 103 0.2× 238 0.7× 26 0.1× 25 0.1× 18 0.1× 123 1.2k
Alex Wright United States 15 548 1.2× 47 0.1× 233 1.2× 14 0.1× 6 0.0× 67 1.3k
Ling Ma China 11 199 0.4× 147 0.4× 21 0.1× 9 0.1× 20 0.1× 45 528
James Hall United States 15 107 0.2× 78 0.2× 75 0.4× 47 0.3× 51 0.4× 43 851
Ben Gilbert United States 18 15 0.0× 318 0.9× 12 0.1× 41 0.2× 126 0.9× 58 1.3k
Sandeep Goel India 22 226 0.5× 22 0.1× 183 1.0× 39 0.2× 29 0.2× 83 1.5k
Jeffrey Ng Hong Kong 27 1.5k 3.3× 57 0.2× 385 2.0× 22 0.1× 3 0.0× 117 2.6k
Philippe du Jardin France 16 538 1.2× 341 1.0× 64 0.3× 4 0.0× 2 0.0× 32 949
Thomas A. Hanson United States 13 61 0.1× 141 0.4× 9 0.0× 10 0.1× 34 0.2× 43 589
Fahad Ali Pakistan 15 53 0.1× 34 0.1× 49 0.3× 30 0.2× 7 0.1× 63 863

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
1.
Guo, Peng, Zihao Yu, Chao Li, & Jun Sun. (2025). DRHGNN: a dynamic residual hypergraph neural network for aspect sentiment triplet extraction. Applied Intelligence. 55(7).
2.
Guo, Peng, et al.. (2022). CEO Facial masculinity and accounting conservatism. Accounting and Business Research. 54(2). 224–254. 7 indexed citations
3.
Xue, Zhiyun, Peng Guo, Sivaramakrishnan Rajaraman, et al.. (2022). Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. Lecture notes in computer science. 13559. 206–217. 5 indexed citations
4.
Guo, Peng, et al.. (2021). Semi-Supervised Learning for Cervical Precancer Detection. 202–206. 8 indexed citations
5.
Xue, Zhiyun, Peng Guo, Kanan Desai, et al.. (2021). A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. PubMed. 2021. 527–532. 7 indexed citations
6.
Zhang, Yongqing, Siyu Chen, Peng Guo, et al.. (2021). MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue. Expert Systems with Applications. 185. 115639–115639. 38 indexed citations
7.
Xue, Zhiyun, Akiva P. Novetsky, Mark H. Einstein, et al.. (2020). A demonstration of automated visual evaluation of cervical images taken with a smartphone camera. International Journal of Cancer. 147(9). 2416–2423. 44 indexed citations
8.
Guo, Peng, et al.. (2020). Anatomical landmark segmentation in uterine cervix images using deep learning. 32–32. 5 indexed citations
9.
Guo, Peng, Zhiyun Xue, Karen Yeates, et al.. (2020). Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening. Diagnostics. 10(7). 451–451. 34 indexed citations
10.
Guo, Peng, et al.. (2019). Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening. 1–4. 30 indexed citations
11.
12.
Guo, Peng, et al.. (2019). Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis. 1602–1606. 6 indexed citations
13.
Hagerty, Jason, R. Joe Stanley, Haidar Almubarak, et al.. (2019). Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images. IEEE Journal of Biomedical and Health Informatics. 23(4). 1385–1391. 145 indexed citations
14.
Li, Zongwei, et al.. (2018). The Evaluation of E-commerce Efficiency in China using DEA-Tobit model: evidence from Taobao data. Journal of the Association for Information Systems. 73. 2 indexed citations
15.
Guo, Peng, Haidar Almubarak, R. Joe Stanley, et al.. (2016). Enhancements in localized classification for uterine cervical cancer digital histology image assessment. Journal of Pathology Informatics. 7(1). 51–51. 10 indexed citations
16.
Zhu, Huiming, et al.. (2016). Asymmetric spillover effects between the Shanghai and Hong Kong stock markets: evidence from quantile lagged regression. Applied Economics. 49(9). 886–902. 6 indexed citations
17.
Eshleman, John Daniel, et al.. (2015). Auditor Size and Going Concern Reporting. SSRN Electronic Journal. 1 indexed citations
18.
Eshleman, John Daniel & Peng Guo. (2014). Do Big 4 Auditors Provide Higher Audit Quality after Controlling for the Endogenous Choice of Auditor. SSRN Electronic Journal. 1 indexed citations
19.
Guo, Peng, et al.. (2011). Research on lip detection based on Opencv. 1465–1468. 5 indexed citations
20.
Guo, Peng. (2010). Study on Bayesian hierarchal model-based SST data fusion methods. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7825. 78250O–78250O. 2 indexed citations

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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