Peng Xue

1.8k total citations
68 papers, 1.0k citations indexed

About

Peng Xue is a scholar working on Epidemiology, Surgery and Oncology. According to data from OpenAlex, Peng Xue has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 16 papers in Surgery and 15 papers in Oncology. Recurrent topics in Peng Xue's work include Cervical Cancer and HPV Research (20 papers), AI in cancer detection (12 papers) and Global Cancer Incidence and Screening (8 papers). Peng Xue is often cited by papers focused on Cervical Cancer and HPV Research (20 papers), AI in cancer detection (12 papers) and Global Cancer Incidence and Screening (8 papers). Peng Xue collaborates with scholars based in China, United Kingdom and United States. Peng Xue's co-authors include You‐Lin Qiao, Samuel Seery, Man Tat Alexander Ng, Yu Jiang, Mingyang Chen, Maria José González, Yimin Qu, Yu Jiang, Ran Ren and Lina Hu and has published in prestigious journals such as Applied Physics Letters, Chemical Communications and American Journal of Obstetrics and Gynecology.

In The Last Decade

Peng Xue

65 papers receiving 1.0k 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 Xue China 17 347 283 201 164 162 68 1.0k
Fernando Collado‐Mesa United States 14 97 0.3× 182 0.6× 243 1.2× 97 0.6× 151 0.9× 40 802
Aarshi Vipani United States 7 492 1.4× 149 0.5× 172 0.9× 349 2.1× 69 0.4× 16 1.1k
Yuan Guo China 22 151 0.4× 82 0.3× 371 1.8× 19 0.1× 108 0.7× 82 1.3k
Jee Young Kim South Korea 20 117 0.3× 62 0.2× 292 1.5× 25 0.2× 130 0.8× 89 1.3k
Zhiyong Zhang China 16 109 0.3× 81 0.3× 600 3.0× 22 0.1× 285 1.8× 70 1.7k
Yuting Shen China 16 51 0.1× 65 0.2× 156 0.8× 45 0.3× 107 0.7× 48 831
Xun Liu China 23 153 0.4× 46 0.2× 120 0.6× 25 0.2× 67 0.4× 85 1.4k
Jeong Hyun Lee South Korea 15 102 0.3× 48 0.2× 193 1.0× 40 0.2× 204 1.3× 59 791

Countries citing papers authored by Peng Xue

Since Specialization
Citations

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

Fields of papers citing papers by Peng Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Xue. A scholar is included among the top collaborators of Peng Xue 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 Xue. Peng Xue 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.
Liu, Jie, et al.. (2025). Photoredox-Catalyzed Three-Component Sulfonaminoalkynylation of Alkenes via a Radial/Polar Crossover. The Journal of Organic Chemistry. 90(4). 1656–1662. 1 indexed citations
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Wu, Xin, Zhang Chen, Peng Xue, Zhen Wang, & Yao‐Fu Zeng. (2024). Visible-Light-Mediated Radical trans-Hydroboration of Alkynes with NHC Borane. The Journal of Organic Chemistry. 90(1). 658–662. 1 indexed citations
5.
Wang, Yuting, Qiankun Wang, Jingyi Shi, et al.. (2024). Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation. npj Digital Medicine. 7(1). 349–349. 12 indexed citations
6.
Liu, Jie, Lu Guo, Zhang Chen, et al.. (2024). Photoredox-catalyzed unsymmetrical diamination of alkenes for access to vicinal diamines. Chemical Communications. 60(25). 3413–3416. 9 indexed citations
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Ye, Zichen, Mingyang Chen, Lu Qu, et al.. (2024). Distribution and diagnostic value of single and multiple high‐risk HPV infections in detection of cervical intraepithelial neoplasia: A retrospective multicenter study in China. Journal of Medical Virology. 96(8). e29835–e29835. 3 indexed citations
9.
Ye, Zichen, Xiaoli Cui, Mingyang Chen, et al.. (2024). The Distribution of Cervical Transformation Zone and Its Impact on Colposcopic Diagnosis: A Multicenter Study in China. Journal of Lower Genital Tract Disease. 29(1). 6–12. 4 indexed citations
10.
Zhan, Yongle, Yawen Wang, Yimin Qu, et al.. (2023). Pregnancy Loss in Relation to the Risks of Female-Specific Cancers in a Population-Based Cohort and Mendelian Randomization Study — China, 2004–2017. China CDC Weekly. 5(19). 413–418. 2 indexed citations
11.
Bai, Anying, Peng Xue, Qing Li, Yu Jiang, & You‐Lin Qiao. (2023). Diagnostic value of high‐risk HPV other than type 16/18 in high‐grade cervical neoplasia among cytology‐negative women: A multicenter retrospective study. Cancer Medicine. 12(13). 14794–14805. 5 indexed citations
12.
Xue, Peng, et al.. (2023). Artificial intelligence in colposcopic examination: A promising tool to assist junior colposcopists. Frontiers in Medicine. 10. 1060451–1060451. 15 indexed citations
13.
Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence. Modern Pathology. 36(8). 100186–100186. 16 indexed citations
14.
Xue, Peng, Haimiao Xu, Hongping Tang, et al.. (2023). Assessing artificial intelligence enabled liquid‐based cytology for triaging HPV‐positive women: a population‐based cross‐sectional study. Acta Obstetricia Et Gynecologica Scandinavica. 102(8). 1026–1033. 11 indexed citations
15.
Xue, Peng, et al.. (2022). Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis. npj Digital Medicine. 5(1). 19–19. 80 indexed citations
16.
Xue, Peng, et al.. (2022). Cervical cancer elimination in the era of COVID-19: the potential role of Artificial Intelligence (AI)-guided digital colposcope cloud platform. European Journal of Gynaecological Oncology. 43(1). 160–160. 3 indexed citations
17.
Chen, Mingyang, Samuel Seery, Maria José González, et al.. (2022). Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Frontiers in Medicine. 9. 990604–990604. 125 indexed citations
18.
Xie, Xia, et al.. (2019). Pharyngeal stricture treated by endoscopic adhesiolysis. Endoscopy. 52(2). E78–E79. 1 indexed citations
19.
Sun, Wenjuan, et al.. (2018). miR‐186 inhibits proliferation, migration, and epithelial‐mesenchymal transition in breast cancer cells by targeting Twist1. Journal of Cellular Biochemistry. 120(6). 10001–10009. 27 indexed citations
20.
Jia, Zhen, Jian Sun, Hongzhu Li, et al.. (2015). [Decreased expression of calcium-sensing receptor involved in the progression of diabetic cardiomyopathy].. PubMed. 31(1). 35–7. 1 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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