Zafar Ali

1.8k citations
43 papers · 970 · 1 hit paper · h-index 20

Impact in

  • Neurology top 5%
    • Brain Tumor Detection and Classification
    • Topic Modeling
    • Advanced Graph Neural Networks
    • Hate Speech and Cyberbullying Detection
    • Natural Language Processing Techniques
    • Machine Learning and ELM

Papers in

    • Topic Modeling 23
    • Advanced Graph Neural Networks 15
    • Natural Language Processing Techniques 5
    • Speech and dialogue systems 4
    • Sentiment Analysis and Opinion Mining 2
    • Text and Document Classification Technologies 2
    • Recommender Systems and Techniques 15

Zafar Ali

41 papers receiving 930 citations

Zafar Ali's Hit Papers

A deep learning approach for brain tumor classification using MRI images 2022 · 153 citations
1530+1+2Years since publication50100150

Peers

Zafar Ali
Comparison fields: 5 of 98
  • Neurology 177
  • Artificial Intelligence 584
  • Information Systems 306
  • Computer Vision and Pattern Recognition 268
  • Software 35
Replace Ahmed Mohammed Alghamdi with:
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Mohammed A. Shehab Jordan
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Rehab Duwairi Jordan
Selma Ayşe Özel Türkiye
Muhammad Shafiq China
Yixin Liu United States
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Zafar Ali relative to Ahmed Mohammed Alghamdi Saudi Arabia Ahmed Mohammed Alghamdi's profile →
Citations per field
00.5×3.3×
Ahmed Mohammed Alghamdi · 1×
Citations per year

Countries citing papers authored by Zafar Ali

Since Specialization
Citations

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

Fields of papers citing papers by Zafar Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zafar Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zafar Ali Line = papers co-authored together Zafar Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep learning approach for brain tumor classification using MRI images
Hit paper breakdown →
2022153
2 202076
3 202065
4 202058
5 202245
6 202243
7 202038
8 202434
9 202232
10 202032
11 202132
12 202027
13 202325
14 202223
15 202323
16 202122
17 202121
18 202221
19 201621
20 202220

About Zafar Ali

Zafar Ali is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 43 papers that have together received 970 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Advanced Graph Neural Networks (15 papers), Recommender Systems and Techniques (15 papers), Natural Language Processing Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), Speech and dialogue systems (4 papers), Sentiment Analysis and Opinion Mining (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Neurology (177 citations), Artificial Intelligence (584 citations), Information Systems (306 citations), Computer Vision and Pattern Recognition (268 citations) and Software (35 citations). Zafar Ali has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Guilin Qi, Khan Muhammad, Waheed Ahmed Abro, Pavlos Kefalas, Inayat Khan, M. Irfan Uddin, Zia-ur Rahman, Yurong Guan, Irfan Ullah and Zhihua Hu. Their work appears in journals such as Expert Systems with Applications, Scientometrics, Knowledge-Based Systems, Artificial Intelligence Review and Applied Intelligence.

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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