Erkang Cheng

825 total citations
47 papers, 532 citations indexed

About

Erkang Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Erkang Cheng has authored 47 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Erkang Cheng's work include Medical Image Segmentation Techniques (11 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (7 papers). Erkang Cheng is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), AI in cancer detection (8 papers) and Advanced Neural Network Applications (7 papers). Erkang Cheng collaborates with scholars based in China, United States and Greece. Erkang Cheng's co-authors include Haibin Ling, Pengpeng Liang, Vasileios Megalooikonomou, Zhangjie Fu, Lang Peng, Zhirong Chen, Liang Du, Yi Wu, Xue Mei and Feng Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Erkang Cheng

45 papers receiving 510 citations

Peers

Erkang Cheng
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 345
  • Radiology, Nuclear Medicine and Imaging 116
  • Artificial Intelligence 102
  • Aerospace Engineering 78
  • Automotive Engineering 67
Replace Ganbayar Batchuluun with:
Ganbayar Batchuluun South Korea
Soo Siang Teoh Malaysia
Zehao Yu China
Benjamin Busam Germany
Rafael Arnay Spain
Wei Ke China
Li Tang China
Mohammed Rziza Morocco
Jayan Eledath United States
Tiberiu Mariţa Romania
Ganbayar Batchuluun South Korea View profile →
Citations per field, relative to Erkang Cheng
Erkang Cheng · 1×
Citations per year, relative to Erkang Cheng
Erkang Cheng · 1×

Countries citing papers authored by Erkang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Erkang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erkang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Erkang Cheng. A scholar is included among the top collaborators of Erkang Cheng 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 Erkang Cheng. Erkang Cheng 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 4
2 0
3 1
4 5
5 1
6 22
7 6
8 2
9 4
10 34
11 1
12 4
13 6
14 11
15 29
16 3
17
AUTOMATIC DETECTION OF REGION OF INTERESTS IN MAMMOGRAPHIC IMAGES
1
18 21
19 1
20 11

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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