Chenjie Ge

726 citations
21 papers · 493 indexed · h-index 12
Topics
Brain Tumor Detection and Classification (8 papers)Medical Image Segmentation Techniques (4 papers)Advanced Neural Network Applications (4 papers)

In The Last Decade

Chenjie Ge

20 papers receiving 481 citations

Peers

Chenjie Ge
Comparison fields: 5 of 78
  • Neurology 250
  • Computer Vision and Pattern Recognition 228
  • Artificial Intelligence 151
  • Radiology, Nuclear Medicine and Imaging 111
  • Electrical and Electronic Engineering 53
Replace Xiaoke Hao with:
Xiaoke Hao China
Zhong Zhao China
Yiding Lv China
Ilya Eckstein United States
Nancy M. Salem Egypt
Pilar Sobrevilla Spain
Zhuangzhi Yan China
E. Montseny Spain
Marko Barjaktarović Serbia
Shokofeh Anari Ireland
Chenjie Ge relative to Xiaoke Hao China Xiaoke Hao's profile →
Citations per field
00.5×3.3×
Xiaoke Hao · 1×
Citations per year

Countries citing papers authored by Chenjie Ge

Since Specialization
Citations

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

Fields of papers citing papers by Chenjie Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenjie Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Chenjie Ge. A scholar is included among the top collaborators of Chenjie Ge 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 Chenjie Ge. Chenjie Ge 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 0
2 10
3 2
4 23
5 3
6 15
7 70
8 24
9
Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living
1
10 88
11 47
12 18
13 17
14 7
15 72
16 25
17 10
18 19
19 3
20 6

About Chenjie Ge

Chenjie Ge is a scholar working on Neurology, Biological Psychiatry and Behavioral Neuroscience, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (8 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Neurology (250 citations), Computer Vision and Pattern Recognition (228 citations) and Biological Psychiatry (17 citations). Chenjie Ge has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Irene Yu‐Hua Gu, Asgeir Store Jakola, Jie Yang, Math Bollen, Shiliang Wang, Keren Fu, Li Bai, Fanghui Liu, Zhi Liu and Nikola Kasabov. Their work appears in journals such as IEEE Access, Information Sciences and Behavioural Brain Research.

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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