Pengfei Yan

1.2k total citations · 2 hit papers
64 papers, 684 citations indexed

About

Pengfei Yan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pengfei Yan has authored 64 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pengfei Yan's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Topology and Set Theory (5 papers). Pengfei Yan is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Topology and Set Theory (5 papers). Pengfei Yan collaborates with scholars based in China, Norway and Japan. Pengfei Yan's co-authors include Hao Luo, Shen Yin, Minglei Li, Derong Liu, Yuchen Jiang, Xiang Li, Guanyi Li, Ding Wang, Jiusi Zhang and Hongwen Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pengfei Yan

55 papers receiving 669 citations

Hit Papers

Deep Learning Attention Mechanism in Medical Image Analys... 2023 2026 2024 2025 2023 2024 50 100 150

Peers

Pengfei Yan
Comparison fields: 5 of 119
  • Control and Systems Engineering 214
  • Artificial Intelligence 153
  • Computer Vision and Pattern Recognition 100
  • Mechanical Engineering 81
  • Electrical and Electronic Engineering 62
Replace Qiong Chen with:
Qiong Chen China
Mustafa Poyraz Türkiye
Adrião Duarte Dória Neto Brazil
Wenjie Lu China
Alok Kanti Deb India
Tao Qin China
Tarek A. Mahmoud Egypt
Shiwei Ma China
Qiong Chen China View profile →
Citations per field, relative to Pengfei Yan
Pengfei Yan · 1×
Citations per year, relative to Pengfei Yan
Pengfei Yan · 1×

Countries citing papers authored by Pengfei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Yan. A scholar is included among the top collaborators of Pengfei Yan 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 Yan. Pengfei Yan 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
# Work Indexed citations
1 0
2 0
3 0
4 3
5 4
6 7
7
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective breakdown →
80
8 4
9 9
10 0
11 12
12 35
13 4
14 8
15 2
16 4
17 3
18
Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds breakdown →
152
19 21
20
Identification of Major Hazards Based on Bayesian Classifier
1

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