Pengcheng Hu

2.7k citations
88 papers · 1.6k indexed · 1 hit paper · h-index 21
Topics
Medical Imaging Techniques and Applications (32 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)Advanced X-ray and CT Imaging (13 papers)

In The Last Decade

Pengcheng Hu

83 papers receiving 1.6k citations

Hit Papers

First Human Imaging Studies with the EXPLORER Total-Body ...20192026202120232019100200300400

Peers

Pengcheng Hu
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Biomedical Engineering 534
  • Radiation 246
  • Pulmonary and Respiratory Medicine 225
  • Oncology 170
Replace Parham Geramifar with:
Parham Geramifar Iran
Huimao Zhang China
Salomeh Jelveh Canada
Hironobu Yanagië Japan
Amy S. Yu United States
George Loudos Greece
Jamal Zweit United Kingdom
Nadia Falzone United Kingdom
Jong-Ki Kim South Korea
Stéphanie Corde Australia
Pengcheng Hu relative to Parham Geramifar Iran Parham Geramifar's profile →
Citations per field
00.5×1.5×1.9×
Parham Geramifar · 1×
Citations per year

Countries citing papers authored by Pengcheng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Pengcheng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Hu. A scholar is included among the top collaborators of Pengcheng Hu 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 Pengcheng Hu. Pengcheng Hu 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
#WorkIndexed citations
1 4
2 1
3 2
4 1
5 0
6 0
7 1
8 8
9 2
10 17
11 10
12 69
13 10
14 48
15 2
16 2
17 8
18 12
19 5
20 4

About Pengcheng Hu

Pengcheng Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Hepatology, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced X-ray and CT Imaging (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Radiation (246 citations) and Biomedical Engineering (534 citations). Pengcheng Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haojun Yu, Hongcheng Shi, Yiqiu Zhang, Hui Tan, Hongcheng Shi, Guobing Liu, Shuguang Chen, Yu Ding, Ramsey D. Badawi and Simon R. Cherry. Their work appears in journals such as Journal of Biological Chemistry, Analytical Chemistry and Langmuir.

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

Rankless by CCL
2026