Yasser A. Ali

1.0k citations
26 papers · 428 indexed · 1 hit paper · h-index 10
Topics
AI in cancer detection (4 papers)Advanced Neural Network Applications (3 papers)Remote Sensing in Agriculture (2 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsSustainability

In The Last Decade

Yasser A. Ali

22 papers receiving 414 citations

Hit Papers

Hyperparameter Search for Machine Learning Algorithms for...2023202620242025202350100150

Peers

Yasser A. Ali
Comparison fields: 5 of 113
  • Artificial Intelligence 83
  • Computer Vision and Pattern Recognition 57
  • Radiology, Nuclear Medicine and Imaging 40
  • Civil and Structural Engineering 37
  • Mechanics of Materials 35
Replace Gopal Chaudhary with:
Gopal Chaudhary India
Taoseef Ishtiak Bangladesh
Fuseini Mumuni Ghana
Alhassan Mumuni Ghana
S. K. Towfek Saudi Arabia
Janek Thomas Germany
Sudha Radhika India
Anam Nawaz Khan South Korea
Ambarish G. Mohapatra India
Muhammad Zubair Rehman Malaysia
Yasser A. Ali relative to Gopal Chaudhary India Gopal Chaudhary's profile →
Citations per field
00.5×3.7×
Gopal Chaudhary · 1×
Citations per year

Countries citing papers authored by Yasser A. Ali

Since Specialization
Citations

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

Fields of papers citing papers by Yasser A. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasser A. Ali. 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 Yasser A. Ali. The network helps show where Yasser A. Ali may publish in the future.

Co-authorship network of co-authors of Yasser A. Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Yasser A. Ali. A scholar is included among the top collaborators of Yasser A. Ali 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 Yasser A. Ali. Yasser A. Ali 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 4
3 1
4 2
5 2
6 38
7 0
8 16
9 11
10 14
11 3
12 5
13 3
14 0
15 28
16
Hyperparameter Search for Machine Learning Algorithms for Optimizing the Computational Complexitybreakdown →
163
17 16
18 14
19 2
20 37

About Yasser A. Ali

Yasser A. Ali is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Neurology, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Advanced Neural Network Applications (3 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Health Information Management (18 citations), Health Informatics (4 citations) and Computer Vision and Pattern Recognition (57 citations). Yasser A. Ali has collaborated with scholars based in Saudi Arabia, China and Pakistan. Frequent co-authors include Muna Al‐Razgan, Emad Mahrous Awwad, Farrokh Janabi‐Sharifi, Soosan Beheshti, Sayed Fayaz Ahmad, Peyman Mehrabi, Danping Hu, Hongquan Sun, Muhammad Irshad and Asad Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

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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