Pei Nie

1.3k total citations
57 papers, 855 citations indexed

About

Pei Nie is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Pei Nie has authored 57 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 33 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Biomedical Engineering. Recurrent topics in Pei Nie's work include Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (15 papers) and Renal cell carcinoma treatment (11 papers). Pei Nie is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (15 papers) and Renal cell carcinoma treatment (11 papers). Pei Nie collaborates with scholars based in China, Ethiopia and Germany. Pei Nie's co-authors include Guangjie Yang, Jingjing Cui, Ximing Wang, Dapeng Hao, Zhenguang Wang, Lei Yan, Zhaoping Cheng, Xiaopeng Ji, Yanhua Duan and Wenjie Miao and has published in prestigious journals such as PLoS ONE, Annals of Oncology and International Journal of Cancer.

In The Last Decade

Pei Nie

55 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Nie China 18 553 409 187 139 104 57 855
Dominik Nörenberg Germany 17 646 1.2× 281 0.7× 257 1.4× 137 1.0× 205 2.0× 64 1000
Sebastian Feuerlein United States 20 883 1.6× 243 0.6× 428 2.3× 253 1.8× 119 1.1× 44 1.4k
Giuseppe Salvaggio Italy 17 369 0.7× 277 0.7× 148 0.8× 199 1.4× 56 0.5× 57 795
Michela Gabelloni Italy 17 650 1.2× 248 0.6× 212 1.1× 192 1.4× 178 1.7× 42 939
Wenjie Liang China 15 442 0.8× 305 0.7× 79 0.4× 284 2.0× 283 2.7× 60 892
Guangjie Yang China 14 389 0.7× 241 0.6× 113 0.6× 100 0.7× 102 1.0× 47 575
Jan Baxa Czechia 15 441 0.8× 262 0.6× 323 1.7× 162 1.2× 58 0.6× 85 882
Bradley R. Pieters Netherlands 22 518 0.9× 908 2.2× 168 0.9× 354 2.5× 212 2.0× 97 1.7k
Marilyn J. Morton United States 11 337 0.6× 254 0.6× 160 0.9× 128 0.9× 202 1.9× 24 799
Federica Pediconi Italy 24 892 1.6× 466 1.1× 223 1.2× 413 3.0× 204 2.0× 77 1.6k

Countries citing papers authored by Pei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Pei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Nie. A scholar is included among the top collaborators of Pei Nie 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 Pei Nie. Pei Nie 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.
Li, Yanlei, et al.. (2024). Predicting bone metastasis-free survival in non-small cell lung cancer from preoperative CT via deep learning. npj Precision Oncology. 8(1). 161–161. 1 indexed citations
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Wang, Bingyan, et al.. (2024). CT-based radiomics and clinical characteristics for predicting bone metastasis in lung adenocarcinoma patients. Translational Lung Cancer Research. 13(4). 721–732. 1 indexed citations
5.
Yu, Boyang, Na Li, Rui Sun, et al.. (2023). CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study. Cancer Imaging. 23(1). 89–89. 13 indexed citations
6.
Nie, Pei, Juntao Zhang, Wenjie Miao, et al.. (2023). Incremental value of radiomics-based heterogeneity to the existing risk criteria in predicting recurrence of hepatocellular carcinoma after liver transplantation. European Radiology. 33(9). 6608–6618. 10 indexed citations
7.
Nie, Pei, Guangjie Yang, Yanmei Wang, et al.. (2023). A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study. European Radiology. 33(12). 8858–8868. 23 indexed citations
8.
Wang, Tongyu, Peng Zhang, Hexiang Wang, et al.. (2022). An MRI‐Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors. Journal of Magnetic Resonance Imaging. 58(2). 520–531. 9 indexed citations
9.
Zhao, Shuo, Chongchong Wu, Jie Gao, et al.. (2021). Pulmonary mucosa‐associated lymphoid tissue lymphoma: CT findings and pathological basis. Journal of Surgical Oncology. 123(5). 1336–1344. 9 indexed citations
10.
Li, Xiaoli, Qianli Ma, Cheng Tao, et al.. (2021). A CT-based radiomics nomogram for differentiation of small masses (< 4 cm) of renal oncocytoma from clear cell renal cell carcinoma. Abdominal Radiology. 46(11). 5240–5249. 13 indexed citations
11.
Nie, Pei, Guangjie Yang, Jian Guo, et al.. (2020). A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver. Cancer Imaging. 20(1). 20–20. 54 indexed citations
12.
Nie, Pei, Guangjie Yang, Ning Wang, et al.. (2020). Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 217–230. 50 indexed citations
13.
Liu, Shifeng, et al.. (2019). Application of Digital Tomosynthesis in the Diagnosis of Urolithiasis: Comparison with MDCT. Journal of Endourology. 34(2). 145–150. 1 indexed citations
14.
Nie, Pei, Guangjie Yang, Zhenguang Wang, et al.. (2019). A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma. European Radiology. 30(2). 1274–1284. 81 indexed citations
15.
Nie, Pei, Jie Wu, Hexiang Wang, et al.. (2019). Primary hepatic perivascular epithelioid cell tumors: imaging findings with histopathological correlation. Cancer Imaging. 19(1). 32–32. 22 indexed citations
16.
Wang, Hexiang, Pei Nie, Cheng Dong, et al.. (2018). Computed Tomography Imaging Findings of Pulmonary Chondroma. BioMed Research International. 2018. 1–7. 4 indexed citations
17.
Wang, Hexiang, et al.. (2018). MRI Findings of Early Myositis Ossificans without Calcification or Ossification. BioMed Research International. 2018. 1–6. 10 indexed citations
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Wang, Zhenguang, et al.. (2013). Dynamical Observation on Biological Progression of VX2 Liver Tumors to Identify the Optimal Time for Intervention in Animal Models. PLoS ONE. 8(8). e74327–e74327. 7 indexed citations
20.

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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