Peirong Xu

485 total citations
36 papers, 311 citations indexed

About

Peirong Xu is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Peirong Xu has authored 36 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Molecular Biology. Recurrent topics in Peirong Xu's work include Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers) and Renal cell carcinoma treatment (7 papers). Peirong Xu is often cited by papers focused on Statistical Methods and Inference (14 papers), Statistical Methods and Bayesian Inference (10 papers) and Renal cell carcinoma treatment (7 papers). Peirong Xu collaborates with scholars based in China, Hong Kong and United States. Peirong Xu's co-authors include Lixing Zhu, Tao Wang, Yan Zhang, Daorong Wang, Li Zhu, Qiannan Sun, Jun Zhang, Yufang Qin, Yun Fang and Jin‐Guan Lin and has published in prestigious journals such as PLoS ONE, Biometrics and Biometrika.

In The Last Decade

Peirong Xu

33 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peirong Xu China 11 157 45 36 31 30 36 311
Ibrahim Salama United States 12 93 0.6× 34 0.8× 32 0.9× 17 0.5× 7 0.2× 51 394
Kuang‐Fu Cheng Taiwan 11 95 0.6× 37 0.8× 9 0.3× 11 0.4× 17 0.6× 18 344
Guido del Pino Chile 10 111 0.7× 28 0.6× 11 0.3× 11 0.4× 28 0.9× 16 370
David Ohlssen Switzerland 11 369 2.4× 90 2.0× 21 0.6× 55 1.8× 76 2.5× 31 628
Abdulkadir Hussein Canada 11 117 0.7× 17 0.4× 27 0.8× 7 0.2× 71 2.4× 47 460
Ryan Copping United States 7 104 0.7× 62 1.4× 39 1.1× 8 0.3× 17 0.6× 9 355
Reza Arabi Belaghi Iran 14 251 1.6× 36 0.8× 29 0.8× 7 0.2× 136 4.5× 41 431
Henrik Ramlau-Hansen Denmark 8 276 1.8× 78 1.7× 13 0.4× 36 1.2× 39 1.3× 14 514
K. F. Cheng Taiwan 14 84 0.5× 60 1.3× 70 1.9× 4 0.1× 11 0.4× 31 497
Samuel Whipple United States 5 100 0.6× 43 1.0× 27 0.8× 7 0.2× 11 0.4× 9 312

Countries citing papers authored by Peirong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Peirong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peirong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Peirong Xu. A scholar is included among the top collaborators of Peirong Xu 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 Peirong Xu. Peirong Xu 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.
Xu, Peirong, Zuqiang Liu, Li Wang, et al.. (2025). Free‐Hand Endoscopic Full‐Thickness Resection for Duodenal Subepithelial Lesions. Journal of Gastroenterology and Hepatology. 40(4). 907–916.
2.
Xiao, Ke, Peirong Xu, & Wenzhong Guo. (2025). Language–Image Consistency Augmentation and Distillation Network for visual grounding. Pattern Recognition. 166. 111663–111663. 1 indexed citations
3.
Huang, Jiaqi, He Chang, Peirong Xu, et al.. (2024). Development and validation of a clinical-radiomics model for prediction of prostate cancer: a multicenter study. World Journal of Urology. 42(1). 275–275. 3 indexed citations
4.
Xu, Peirong, Zuqiang Liu, Jiyuan Zhang, et al.. (2024). Peroral endoscopic myotomy is an effective treatment for achalasia combined with hiatal hernia. Surgical Endoscopy. 38(8). 4543–4549.
5.
Ma, Yue, et al.. (2023). Evaluation of the safety and efficacy of perform enterectomy in colorectal cancer patients aged 80 or older. A meta-analysis and a systematic review. International Journal of Colorectal Disease. 38(1). 185–185. 2 indexed citations
6.
Xu, Peirong, Yaohui Li, Jiaqi Huang, et al.. (2022). Predictive value of renal tumor contour irregularity score in pathological T3a upstaging of clinical T1 renal cell carcinoma: A multi-institutional study. Urologic Oncology Seminars and Original Investigations. 40(5). 199.e1–199.e8. 4 indexed citations
7.
Xu, Peirong, Jiaqi Huang, Yaohui Li, et al.. (2022). Prognostic value of tumour contour irregularity on surgical strategies for T1bN0M0 renal cell carcinoma: A multi-institutional study. European Journal of Radiology. 159. 110665–110665. 2 indexed citations
8.
Xu, Peirong, Jiaqi Huang, Yaohui Li, et al.. (2022). Does intraoperative cyst rupture of malignant cystic renal masses really have no negative impact on oncologic outcomes?. World Journal of Surgical Oncology. 20(1). 369–369. 4 indexed citations
9.
Zhang, Yan, et al.. (2022). Factors influencing the e-health literacy in cancer patients: a systematic review. Journal of Cancer Survivorship. 17(2). 425–440. 45 indexed citations
10.
Li, Yaohui, et al.. (2022). An immune‐related gene signature for the prognosis of human bladder cancer based on WGCNA. Computers in Biology and Medicine. 151(Pt A). 106186–106186. 5 indexed citations
11.
Huang, Jiaqi, Yaohui Li, Minke He, et al.. (2022). Prognostic evaluation based on radiological morphological characteristic for tumors larger than 7 cm in renal cell carcinoma. Journal of Cancer Research and Clinical Oncology. 149(1). 263–270. 1 indexed citations
12.
Fang, Yun, Peirong Xu, Jialiang Yang, & Yufang Qin. (2018). A quantile regression forest based method to predict drug response and assess prediction reliability. PLoS ONE. 13(10). e0205155–e0205155. 26 indexed citations
13.
Xu, Peirong, Heng Peng, & Tao Huang. (2018). Unsupervised learning of mixture regression models for longitudinal data. Computational Statistics & Data Analysis. 125. 44–56. 5 indexed citations
14.
Lin, Jin‐Guan, et al.. (2015). A new class of copulas involving geometric distribution: Estimation and applications. Insurance Mathematics and Economics. 66. 1–10. 9 indexed citations
15.
Zhang, Jun, et al.. (2015). Generalized varying coefficient partially linear measurement errors models. Annals of the Institute of Statistical Mathematics. 69(1). 97–120. 6 indexed citations
16.
Xu, Peirong, et al.. (2015). Efficient estimation for marginal generalized partially linear single-index models with longitudinal data. Test. 25(3). 413–431. 3 indexed citations
17.
Zhang, Jun, et al.. (2014). Estimating the conditional single-index error distribution with a partial linear mean regression. Test. 24(1). 61–83. 13 indexed citations
18.
Xu, Peirong, Tao Wang, Hongtu Zhu, & Lixing Zhu. (2013). Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models. Statistics in Biosciences. 7(1). 108–128. 6 indexed citations
19.
Wang, Tao, Peirong Xu, & Li Zhu. (2012). Non-convex penalized estimation in high-dimensional models with single-index structure. Journal of Multivariate Analysis. 109. 221–235. 25 indexed citations
20.
Xu, Peirong & Lixing Zhu. (2011). Estimation for a marginal generalized single-index longitudinal model. Journal of Multivariate Analysis. 105(1). 285–299. 17 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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