Zafar Ali

1.8k total citations · 1 hit paper
43 papers, 970 citations indexed

About

Zafar Ali is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zafar Ali has authored 43 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 17 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zafar Ali's work include Topic Modeling (23 papers), Recommender Systems and Techniques (15 papers) and Advanced Graph Neural Networks (15 papers). Zafar Ali is often cited by papers focused on Topic Modeling (23 papers), Recommender Systems and Techniques (15 papers) and Advanced Graph Neural Networks (15 papers). Zafar Ali collaborates with scholars based in China, Pakistan and South Korea. Zafar Ali's co-authors include Guilin Qi, Khan Muhammad, Waheed Ahmed Abro, Pavlos Kefalas, Inayat Khan, M. Irfan Uddin, Zia-ur Rahman, Zhihua Hu, Amin Ul Haq and Yurong Guan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Zafar Ali

41 papers receiving 930 citations

Hit Papers

A deep learning approach for brain tumor classification u... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A deep learning approach for brain tumor classification using MRI images
    2022 153 citations Zia-ur Rahman, Waheed Ahmed Abro et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zafar Ali China 20 584 306 268 177 69 43 970
Ahmed Mohammed Alghamdi Saudi Arabia 13 317 0.5× 113 0.4× 202 0.8× 53 0.3× 117 1.7× 77 719
Mohammed A. Shehab Jordan 13 559 1.0× 205 0.7× 144 0.5× 29 0.2× 38 0.6× 27 776
Selma Ayşe Özel Türkiye 15 700 1.2× 216 0.7× 118 0.4× 23 0.1× 52 0.8× 49 938
Rehab Duwairi Jordan 20 993 1.7× 349 1.1× 145 0.5× 51 0.3× 101 1.5× 65 1.4k
Hala H. Zayed Egypt 15 369 0.6× 149 0.5× 662 2.5× 32 0.2× 157 2.3× 78 1.1k
Jaeyong Kang South Korea 14 327 0.6× 188 0.6× 340 1.3× 345 1.9× 144 2.1× 23 846
B. S. Harish India 16 391 0.7× 101 0.3× 185 0.7× 31 0.2× 45 0.7× 62 695
Yixin Liu United States 14 1.0k 1.8× 226 0.7× 189 0.7× 27 0.2× 18 0.3× 48 1.3k
Hamza Aldabbas Jordan 14 313 0.5× 220 0.7× 107 0.4× 29 0.2× 94 1.4× 40 687

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-authorship network of co-authors of Zafar Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Zafar Ali. A scholar is included among the top collaborators of Zafar 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 Zafar Ali. Zafar 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
1.
Geng, Xin, et al.. (2025). SSL-OHE: A self-supervised ensemble approach for early diagnosis of biliary atresia from sonographic images. Biomedical Signal Processing and Control. 112. 108539–108539.
2.
Ali, Zafar, et al.. (2024). GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. 929–933. 1 indexed citations
3.
Ali, Zafar, et al.. (2024). Knowledge-enhanced model with dual-graph interaction for confusing legal charge prediction. Expert Systems with Applications. 249. 123626–123626. 6 indexed citations
4.
5.
Khalid, Shah, et al.. (2024). Human Action Recognition Systems: A Review of the Trends and State-of-the-Art. IEEE Access. 12. 36372–36390. 34 indexed citations
6.
Khalid, Shah, et al.. (2024). HADE: Exploiting Human Action Recognition Through Fine-Tuned Deep Learning Methods. IEEE Access. 12. 42769–42790. 9 indexed citations
7.
Rahman, Zia-ur, Muhammad Aamir, Zafar Ali, et al.. (2023). Efficient Contrast Adjustment and Fusion Method for Underexposed Images in Industrial Cyber-Physical Systems. IEEE Systems Journal. 17(4). 5085–5096. 25 indexed citations
8.
Ali, Zafar, et al.. (2023). CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs. Expert Systems with Applications. 231. 120721–120721. 3 indexed citations
9.
Ullah, Irfan, et al.. (2023). On the current state of query formulation for book search. Artificial Intelligence Review. 56(10). 12085–12130. 2 indexed citations
10.
Huang, Yi, et al.. (2023). A Multi-Attention Approach Using BERT and Stacked Bidirectional LSTM for Improved Dialogue State Tracking. Applied Sciences. 13(3). 1775–1775. 4 indexed citations
11.
Ali, Zafar, Yi Huang, Irfan Ullah, et al.. (2022). Deep Learning for Medication Recommendation: A Systematic Survey. Data Intelligence. 5(2). 303–354. 23 indexed citations
12.
Sohail, Shahab Saquib, et al.. (2022). It’s Your Turn, Are You Ready to Get Vaccinated? Towards an Exploration of Vaccine Hesitancy Using Sentiment Analysis of Instagram Posts. Mathematics. 10(22). 4165–4165. 6 indexed citations
13.
Ali, Zafar, et al.. (2022). On the current state of deep learning for news recommendation. Artificial Intelligence Review. 56(2). 1101–1144. 15 indexed citations
14.
Ali, Zafar, Guilin Qi, Pavlos Kefalas, et al.. (2022). SPR-SMN: scientific paper recommendation employing SPECTER with memory network. Scientometrics. 127(11). 6763–6785. 11 indexed citations
15.
Haq, Amin Ul, Jianping Li, Bless Lord Y. Agbley, et al.. (2022). A survey of deep learning techniques based Parkinson’s disease recognition methods employing clinical data. Expert Systems with Applications. 208. 118045–118045. 32 indexed citations
16.
Ali, Zafar, et al.. (2021). An overview and evaluation of citation recommendation models. Scientometrics. 126(5). 4083–4119. 22 indexed citations
17.
Ali, Zafar, et al.. (2021). Correction to: An overview and evaluation of citation recommendation models. Scientometrics. 126(10). 8771–8771. 2 indexed citations
18.
Ali, Zafar, Guilin Qi, Khan Muhammad, et al.. (2021). Citation recommendation employing heterogeneous bibliographic network embedding. Neural Computing and Applications. 34(13). 10229–10242. 18 indexed citations
19.
Ali, Zafar, et al.. (2020). A graph-based taxonomy of citation recommendation models. Artificial Intelligence Review. 53(7). 5217–5260. 38 indexed citations
20.
Ali, Zafar, et al.. (2020). Paper recommendation based on heterogeneous network embedding. Knowledge-Based Systems. 210. 106438–106438. 58 indexed citations

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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