Pengfei Peng

90 total papers · 569 total citations
40 papers, 428 citations indexed

About

Pengfei Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Pengfei Peng has authored 40 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Pengfei Peng's work include Advanced MRI Techniques and Applications (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Pengfei Peng is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Pengfei Peng collaborates with scholars based in China, United States and United Kingdom. Pengfei Peng's co-authors include Feilong Jiang, Maochun Hong, Yongsheng Liu, Xing Shen, Yanfang Li, Ying Yu, Liangbin Xiong, Chaoqun Hu, Haipeng Li and Caiping Liu and has published in prestigious journals such as ACS Nano, PLoS ONE and Nanoscale.

In The Last Decade

Pengfei Peng

30 papers receiving 421 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pengfei Peng 217 98 92 62 61 40 428
Ronald C. Pate 52 0.2× 270 2.8× 120 1.3× 117 1.9× 22 0.4× 21 475
Shangkun Li 319 1.5× 159 1.6× 117 1.3× 24 0.4× 88 1.4× 40 494
Chengxin Zhao 68 0.3× 30 0.3× 184 2.0× 29 0.5× 15 0.2× 58 408
Matthew W. Moorman 31 0.1× 59 0.6× 98 1.1× 176 2.8× 4 0.1× 34 458
Xiang Cheng 37 0.2× 129 1.3× 34 0.4× 162 2.6× 3 0.0× 38 469
Hua Yang 205 0.9× 33 0.3× 173 1.9× 117 1.9× 13 0.2× 49 458
Yuting Liu 44 0.2× 81 0.8× 104 1.1× 48 0.8× 6 0.1× 40 434
Xiaowen Wang 52 0.2× 26 0.3× 22 0.2× 135 2.2× 11 0.2× 36 380
M. K. Alqadi 207 1.0× 32 0.3× 54 0.6× 170 2.7× 28 0.5× 40 441
Hu He 228 1.1× 47 0.5× 178 1.9× 28 0.5× 1 0.0× 25 386

Countries citing papers authored by Pengfei Peng

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Peng

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

All Works

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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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2026