Peng An

1.2k total citations · 1 hit paper
44 papers, 359 citations indexed

About

Peng An is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Peng An has authored 44 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Peng An's work include Radiomics and Machine Learning in Medical Imaging (12 papers), COVID-19 diagnosis using AI (6 papers) and MRI in cancer diagnosis (5 papers). Peng An is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), COVID-19 diagnosis using AI (6 papers) and MRI in cancer diagnosis (5 papers). Peng An collaborates with scholars based in China, United States and Japan. Peng An's co-authors include Bradford J. Wood, Evrim Türkbey, Sheng Xu, Barış Türkbey, Ziyue Xu, Holger R. Roth, Kaku Tamura, Hirofumi Obinata, Dong Yang and Daguang Xu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Canadian Medical Association Journal.

In The Last Decade

Peng An

36 papers receiving 350 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

2021 176 citations Dong Yang, Ziyue Xu et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng An China	8	161	138	61	48	48	44	359
Ali Sabri Canada	11	265 1.6×	84 0.6×	84 1.4×	72 1.5×	29 0.6×	15	378
Weifang Kong China	5	225 1.4×	86 0.6×	119 2.0×	30 0.6×	14 0.3×	9	340
Jichan Shi China	7	179 1.1×	102 0.7×	196 3.2×	30 0.6×	43 0.9×	24	443
Zhenchao Tang China	5	300 1.9×	116 0.8×	42 0.7×	74 1.5×	42 0.9×	14	398
Zherui Liu China	7	70 0.4×	85 0.6×	18 0.3×	56 1.2×	108 2.3×	11	380
Victor Savevski Italy	13	202 1.3×	68 0.5×	87 1.4×	88 1.8×	54 1.1×	32	383
Jaideep Chakladar United States	12	99 0.6×	58 0.4×	100 1.6×	111 2.3×	17 0.4×	23	505
Jocelyn Zhu United States	5	213 1.3×	97 0.7×	98 1.6×	33 0.7×	46 1.0×	5	286
Young Kyung Lee South Korea	7	357 2.2×	57 0.4×	267 4.4×	90 1.9×	24 0.5×	19	564
Lionel Tim‐Ee Cheng Singapore	10	164 1.0×	69 0.5×	98 1.6×	66 1.4×	79 1.6×	31	453

Countries citing papers authored by Peng An

Since Specialization

Citations

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

Fields of papers citing papers by Peng An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng An

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Ying, et al.. (2025). Betulinic Acid Alleviates Acute Pancreatitis by Promoting SIRT1‐PINK1‐Mediated Mitophagy in Acinar Cells. Drug Development Research. 86(5). e70140–e70140.

Wang, Wenzhi, Feng Jin, Lina Song, et al.. (2025). Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms. European journal of medical research. 30(1). 164–164.

An, Peng, et al.. (2025). Diagnostic values of diffusion-weighted imaging and dynamic contrast-enhanced MRI in the pathological grading of adenoid cystic carcinoma. BMC Medical Imaging. 25(1). 359–359.

An, Peng, Qian Wang, Na Huang, et al.. (2024). Cholic acid activation of GPBAR1 does not induce or exacerbate acute pancreatitis but promotes exocrine pancreatic secretion. Biochemical and Biophysical Research Communications. 735. 150825–150825. 1 indexed citations

Liu, Jiali, et al.. (2024). Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function. Cancer Imaging. 24(1). 78–78. 1 indexed citations

Qin, Ping, et al.. (2023). Clinical Features and Computed Tomography Radiomics-Based Model for Predicting Pancreatic Ductal Adenocarcinoma and Focal Mass-Forming Pancreatitis. Technology in Cancer Research & Treatment. 22. 3 indexed citations

An, Peng, et al.. (2023). Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data. Technology in Cancer Research & Treatment. 22. 2223928627–2223928627. 1 indexed citations

An, Peng, et al.. (2023). Predicting Model of Biochemical Recurrence of Prostate Carcinoma (PCa-BCR) Using MR Perfusion-Weighted Imaging-Based Radiomics. Technology in Cancer Research & Treatment. 22. 2223908654–2223908654. 7 indexed citations

An, Peng, et al.. (2023). Predicting mixed venous oxygen saturation (SvO ₂ ) impairment in COPD patients using clinical-CT radiomics data: A preliminary study. Technology and Health Care. 32(3). 1569–1582. 1 indexed citations

10.

An, Peng & Zhongqiu Wang. (2023). Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study. Wiener Medizinische Wochenschrift. 174(9-10). 173–180. 4 indexed citations

11.

An, Peng, et al.. (2022). Contrast-Enhanced Ultrasound-Magnetic Resonance Imaging Radiomics Based Model for Predicting the Biochemical Recurrence of Prostate Cancer: A Feasibility Study. Computational and Mathematical Methods in Medicine. 2022. 1–11. 6 indexed citations

12.

An, Peng, et al.. (2022). Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs). Computational and Mathematical Methods in Medicine. 2022. 1–9. 5 indexed citations

13.

An, Peng, et al.. (2022). Clinical and Imaging Data‐Based Model for Predicting Reversible Posterior Leukoencephalopathy Syndrome (RPLS) in Pregnant Women With Severe Preeclampsia or Eclampsia and Analysis of Perinatal Outcomes. International Journal of Clinical Practice. 2022(1). 6990974–6990974. 3 indexed citations

14.

Yang, Dong, Ziyue Xu, Wenqi Li, et al.. (2021). Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Analysis. 70. 101992–101992. 176 indexed citations breakdown →

15.

An, Peng & Bo Liu. (2020). Computed tomography manifestations of COVID-19 pneumonia. British Journal of Hospital Medicine. 81(4). 1–2. 1 indexed citations

16.

Amalou, Amel, Barış Türkbey, Thomas Sanford, et al.. (2020). Targeted early chest CT in COVID-19 outbreaks as diagnostic tool for containment of the pandemic–A multinational opinion. Diagnostic and Interventional Radiology. 26(4). 292–295. 7 indexed citations

17.

An, Peng, et al.. (2020). Management strategy of novel coronavirus (COVID-19) pneumonia in the radiology department: a Chinese experience. Diagnostic and Interventional Radiology. 26(3). 200–203. 28 indexed citations

18.

An, Peng, et al.. (2020). CT Manifestations of Novel Coronavirus Pneumonia: A Case Report. Balkan Medical Journal. 37(3). 163–165. 28 indexed citations

19.

An, Peng, et al.. (2019). Prenatal Detection of Esophageal Atresia with Transposition of Great Arteries. Balkan Medical Journal. 36(3). 194–195. 1 indexed citations

20.

Liu, Yuan, Yiming Zhou, Peng An, et al.. (2015). Transverse False Tendons in the Left Ventricular Cavity Are Associated with Early Repolarization. PLoS ONE. 10(5). e0125173–e0125173. 8 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.

Explore authors with similar magnitude of impact