Malak Abdullah

1.9k citations
50 papers · 1.2k · 1 hit paper · h-index 14

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Sentiment Analysis and Opinion Mining
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Imbalanced Data Classification Techniques

Papers in

Malak Abdullah

47 papers receiving 1.1k citations

Malak Abdullah's Hit Papers

Machine Learning with Oversampling and Undersampling Techniques: Overview Study and Experimental Results 2020 · 399 citations
3990+2+4Years since publication100200300

Peers

Malak Abdullah
Comparison fields: 5 of 155
  • Health Informatics 92
  • Artificial Intelligence 670
  • Health Information Management 50
  • Computer Science Applications 56
  • Information Systems 191
Replace Chang Su with:
Chang Su China
Md. Saddam Hossain Mukta Bangladesh
Christin Seifert Germany
Liang Yao China
Alberto Lavelli Italy
Frank Puppe Germany
Been Kim United States
Tejal Shah United Kingdom
Nazik Alturki Saudi Arabia
Adnan Qayyum Pakistan
Malak Abdullah relative to Chang Su China Chang Su's profile →
Citations per field
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Chang Su · 1×
Citations per year

Countries citing papers authored by Malak Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Malak Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Malak Abdullah, 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 Malak Abdullah Line = papers co-authored together Malak Abdullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning with Oversampling and Undersampling Techniques: Overview Study and Experimental Results
Hit paper breakdown →
2020399
2 2022167
3 201876
4 202175
5 202267
6 201844
7 202241
8 201941
9 202030
10 201924
11 201916
12
SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model
202114
13
The Chained-Cubic Tree Interconnection Network
201113
14 201713
15 202012
16 202012
17 202111
18 202111
19 202210
20 20219

About Malak Abdullah

Malak Abdullah is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Social Psychology and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Sentiment Analysis and Opinion Mining (14 papers), Hate Speech and Cyberbullying Detection (13 papers), Misinformation and Its Impacts (13 papers), Natural Language Processing Techniques (7 papers), Spam and Phishing Detection (7 papers), Advanced Text Analysis Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (92 citations), Artificial Intelligence (670 citations), Health Information Management (50 citations), Computer Science Applications (56 citations) and Information Systems (191 citations). Malak Abdullah has collaborated with scholars based in Jordan, United States and United Kingdom. Frequent co-authors include Yaser Jararweh, Samira Shaikh, Mahmoud Al‐Ayyoub, Elhadj Benkhelifa, Laith Abualigah, Ismail Hmeidi, Mais Tawalbeh, Mirsad Hadžikadić, Rami Al-Azab and Mwaffaq El-Heis. Their work appears in journals such as PeerJ Computer Science, Big Data and Cognitive Computing, Journal of Ambient Intelligence and Humanized Computing, Soft Computing and Neural Computing and Applications.

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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