Pingzhen Guo

1.2k total citations
13 papers, 931 citations indexed

About

Pingzhen Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Pingzhen Guo has authored 13 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Pingzhen Guo's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Pingzhen Guo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Pingzhen Guo collaborates with scholars based in United States, China and United Kingdom. Pingzhen Guo's co-authors include Binsheng Zhao, Lawrence H. Schwartz, Mark G. Kris, Chaya S. Moskowitz, Leonard P. James, Michelle S. Ginsberg, Gregory J. Riely, Robert A. Lefkowitz, Yilin Qin and Geoffrey R. Oxnard and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Clinical Cancer Research.

In The Last Decade

Pingzhen Guo

12 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingzhen Guo United States	11	596	569	233	151	146	13	931
Qingtao Qiu China	16	495 0.8×	273 0.5×	134 0.6×	97 0.6×	118 0.8×	51	614
Ieva Kurilova Netherlands	10	398 0.7×	279 0.5×	322 1.4×	117 0.8×	84 0.6×	16	676
David Brandão France	3	609 1.0×	329 0.6×	476 2.0×	107 0.7×	123 0.8×	4	934
Qingyu Yuan China	15	669 1.1×	397 0.7×	242 1.0×	136 0.9×	132 0.9×	23	878
Wen Yu China	15	417 0.7×	501 0.9×	207 0.9×	192 1.3×	92 0.6×	60	826
Ilke Tunali United States	11	758 1.3×	471 0.8×	324 1.4×	86 0.6×	159 1.1×	19	896
Sarah A. Mattonen Canada	13	796 1.3×	457 0.8×	138 0.6×	81 0.5×	214 1.5×	36	963
Olya Stringfield United States	12	1.2k 2.0×	852 1.5×	221 0.9×	99 0.7×	313 2.1×	24	1.4k
Xinming Zhao China	12	530 0.9×	297 0.5×	215 0.9×	83 0.5×	127 0.9×	45	710
Gretchen Hermann United States	6	551 0.9×	371 0.7×	143 0.6×	59 0.4×	204 1.4×	10	696

Countries citing papers authored by Pingzhen Guo

Since Specialization

Citations

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

Fields of papers citing papers by Pingzhen Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingzhen Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Pingzhen Guo. A scholar is included among the top collaborators of Pingzhen 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 Pingzhen Guo. Pingzhen Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Zhao, Binsheng, Nancy A. Obuchowski, Hao Yang, et al.. (2025). Comparing quantitative imaging biomarker alliance volumetric CT classifications with RECIST response categories. PubMed. 2(1). umaf001–umaf001.

Ma, Jingchen, Jin hwan Yoon, Lu Lin, et al.. (2024). A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning. Journal of Applied Clinical Medical Physics. 25(9). e14434–e14434. 1 indexed citations

Dercle, Laurent, Matthew Fronheiser, Naiyer A. Rizvi, et al.. (2023). Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC. Journal of Thoracic Oncology. 18(5). 587–598. 16 indexed citations

Dercle, Laurent, Matthew Fronheiser, Lin Lü, et al.. (2020). Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics. Clinical Cancer Research. 26(9). 2151–2162. 128 indexed citations

Lü, Lin, Shawn Sun, Hao Yang, et al.. (2020). Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data. Tomography. 6(2). 223–230. 27 indexed citations

Lü, Lin, Deling Wang, Lili Wang, et al.. (2020). A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma. European Radiology. 30(7). 3614–3623. 12 indexed citations

Zhao, Binsheng, Yongqiang Tan, Daniel J. Bell, et al.. (2013). Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals. European Journal of Radiology. 82(6). 959–968. 74 indexed citations

Tan, Yongqiang, Pingzhen Guo, Helen Mann, et al.. (2012). Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours. Cancer Imaging. 12(3). 497–505. 25 indexed citations

Oxnard, Geoffrey R., Binsheng Zhao, Camelia S. Sima, et al.. (2011). Variability of Lung Tumor Measurements on Repeat Computed Tomography Scans Taken Within 15 Minutes. Journal of Clinical Oncology. 29(23). 3114–3119. 118 indexed citations

10.

Zhao, Binsheng, Geoffrey R. Oxnard, Chaya S. Moskowitz, et al.. (2010). A Pilot Study of Volume Measurement as a Method of Tumor Response Evaluation to Aid Biomarker Development. Clinical Cancer Research. 16(18). 4647–4653. 82 indexed citations

11.

Liu, Fan, Binsheng Zhao, Lee M. Krug, et al.. (2010). Assessment of Therapy Responses and Prediction of Survival in Malignant Pleural Mesothelioma Through Computer-Aided Volumetric Measurement on Computed Tomography Scans. Journal of Thoracic Oncology. 5(6). 879–884. 72 indexed citations

12.

Kennedy, Timothy J., Adam C. Yopp, Yilin Qin, et al.. (2009). Role of preoperative biliary drainage of liver remnant prior to extended liver resection for hilar cholangiocarcinoma. HPB. 11(5). 445–451. 111 indexed citations

13.

Zhao, Binsheng, Leonard P. James, Chaya S. Moskowitz, et al.. (2009). Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer. Radiology. 252(1). 263–272. 265 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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