Muhammad Nadeem Cheema

403 citations
10 papers · 246 indexed · h-index 7
Topics
Advanced Neural Network Applications (4 papers)Medical Imaging Techniques and Applications (2 papers)Medical Image Segmentation Techniques (2 papers)
Partner nations
AustraliaHong KongChina

In The Last Decade

Muhammad Nadeem Cheema

9 papers receiving 243 citations

Peers

Muhammad Nadeem Cheema
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 144
  • Radiology, Nuclear Medicine and Imaging 74
  • Artificial Intelligence 61
  • Biomedical Engineering 38
  • Neurology 30
Replace Anam Nazir with:
Anam Nazir Australia
Dongmei Zhu China
Shakhnoza Muksimova South Korea
Wanni Xu China
Yeejin Lee South Korea
You-Lei Fu China
Qingyue Wei China
Pengyi Hao China
Haoyu Dong United States
Muhammad Nadeem Cheema relative to Anam Nazir Australia Anam Nazir's profile →
Citations per field
00.5×1.5×
Anam Nazir · 1×
Citations per year

Countries citing papers authored by Muhammad Nadeem Cheema

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Nadeem Cheema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Nadeem Cheema. 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 Muhammad Nadeem Cheema. The network helps show where Muhammad Nadeem Cheema may publish in the future.

Co-authorship network of co-authors of Muhammad Nadeem Cheema

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 4
3 28
4 38
5 22
6 91
7 18
8 22
9 19
10 4

About Muhammad Nadeem Cheema

Muhammad Nadeem Cheema is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Radiation, having authored 10 papers that have together received 246 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Medical Imaging Techniques and Applications (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Health Informatics (8 citations) and Neurology (30 citations). Muhammad Nadeem Cheema has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Anam Nazir, Ping Li, Dagan Feng, Jing Qin, Jinman Kim, Bin Sheng, Huating Li, Po Yang, Younhyun Jung and Bin Sheng. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Industrial Informatics.

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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