Chenglu Zhu

521 total citations
18 papers, 215 citations indexed

About

Chenglu Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chenglu Zhu has authored 18 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chenglu Zhu's work include AI in cancer detection (7 papers), Medical Image Segmentation Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Chenglu Zhu is often cited by papers focused on AI in cancer detection (7 papers), Medical Image Segmentation Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Chenglu Zhu collaborates with scholars based in China, United States and United Kingdom. Chenglu Zhu's co-authors include Liang Wang, Lisha Yin, Wei Huang, Yupeng Yuan, Min Lü, Ling Huang, Lin Yang, Wei Yang, Wei Tian and Sunyi Zheng and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

Chenglu Zhu

15 papers receiving 211 citations

Peers

Chenglu Zhu
Comparison fields: 5 of 66
  • Renewable Energy, Sustainability and the Environment 87
  • Materials Chemistry 80
  • Artificial Intelligence 45
  • Electrical and Electronic Engineering 43
  • Molecular Biology 35
Replace Chenchen Qin with:
Chenchen Qin China
Yuening Wang China
Shuainan Li China
Zixiong Wang China
Amrita Kaur India
Yawen Wu China
Ferran Parés Spain
Yuqing Ai China
Chenchen Qin China View profile →
Citations per field, relative to Chenglu Zhu
Chenglu Zhu · 1×
Citations per year, relative to Chenglu Zhu
Chenglu Zhu · 1×

Countries citing papers authored by Chenglu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglu Zhu

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 24
6 1
7 0
8 1
9 7
10 28
11 3
12 4
13 1
14 38
15 13
16 36
17 54
18 3

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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