Abdallah Yousif

685 total citations · 1 hit paper
13 papers, 464 citations indexed

About

Abdallah Yousif is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Abdallah Yousif has authored 13 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Abdallah Yousif's work include Sentiment Analysis and Opinion Mining (3 papers), Recommender Systems and Techniques (3 papers) and Online Learning and Analytics (2 papers). Abdallah Yousif is often cited by papers focused on Sentiment Analysis and Opinion Mining (3 papers), Recommender Systems and Techniques (3 papers) and Online Learning and Analytics (2 papers). Abdallah Yousif collaborates with scholars based in China, United States and Tanzania. Abdallah Yousif's co-authors include Zhendong Niu, John K. Tarus, Arshad Ahmad, Chong Feng, Ge Shi, Zahid Khan, Kan Li, Ghulam Mustafa, Ge Shi and Harry Budi Santoso and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Abdallah Yousif

11 papers receiving 440 citations

Hit Papers

A hybrid knowledge-based recommender system for e-learnin... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdallah Yousif China 8 271 269 105 41 37 13 464
Shuguang Han United States 14 312 1.2× 307 1.1× 83 0.8× 47 1.1× 35 0.9× 58 618
Teshome Megersa Bekele China 9 229 0.8× 247 0.9× 32 0.3× 37 0.9× 43 1.2× 12 479
Norman Meuschke Germany 14 349 1.3× 172 0.6× 29 0.3× 31 0.8× 63 1.7× 39 592
Dawid Weiss Poland 8 325 1.2× 326 1.2× 72 0.7× 48 1.2× 27 0.7× 14 551
Fuli Zhang China 11 107 0.4× 135 0.5× 50 0.5× 46 1.1× 20 0.5× 28 384
Ben Lund United States 6 157 0.6× 258 1.0× 47 0.4× 64 1.6× 71 1.9× 19 517
Deirdre O'Brien United States 6 91 0.3× 92 0.3× 51 0.5× 24 0.6× 40 1.1× 8 311
Rachel Heery United Kingdom 12 231 0.9× 352 1.3× 93 0.9× 90 2.2× 25 0.7× 32 557
Anmol Bhasin United States 6 89 0.3× 112 0.4× 33 0.3× 33 0.8× 20 0.5× 17 270
Robert Tansley United Kingdom 8 80 0.3× 165 0.6× 47 0.4× 88 2.1× 21 0.6× 12 327

Countries citing papers authored by Abdallah Yousif

Since Specialization
Citations

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

Fields of papers citing papers by Abdallah Yousif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdallah Yousif

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

All Works

13 of 13 papers shown
2.
Niu, Zhendong, et al.. (2025). Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network. Computers in Biology and Medicine. 186. 109659–109659. 2 indexed citations
4.
Khan, Zahid, Zhendong Niu, & Abdallah Yousif. (2020). Joint Deep Recommendation Model Exploiting Reviews and Metadata Information. Neurocomputing. 402. 256–265. 16 indexed citations
5.
Yousif, Abdallah, et al.. (2019). Multi-task learning model based on recurrent convolutional neural networks for citation sentiment and purpose classification. Neurocomputing. 335. 195–205. 41 indexed citations
6.
Ahmad, Arshad, Chong Feng, Ge Shi, & Abdallah Yousif. (2018). A survey on mining stack overflow: question and answering (Q&A) community. Data Technologies and Applications. 52(2). 190–247. 35 indexed citations
7.
Niu, Zhendong, et al.. (2018). Tensor factorization method based on review text semantic similarity for rating prediction. Expert Systems with Applications. 114. 629–638. 28 indexed citations
8.
Ahmad, Arshad, et al.. (2018). An Empirical Study of Investigating Mobile Applications Development Challenges. IEEE Access. 6. 17711–17728. 53 indexed citations
9.
Yousif, Abdallah, Zhendong Niu, John K. Tarus, & Arshad Ahmad. (2017). A survey on sentiment analysis of scientific citations. Artificial Intelligence Review. 52(3). 1805–1838. 65 indexed citations
10.
Tarus, John K., Zhendong Niu, & Abdallah Yousif. (2017). A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining. Future Generation Computer Systems. 72. 37–48. 200 indexed citations breakdown →
11.
Ahmad, Arshad, et al.. (2017). Challenges of mobile applications development: Initial results. 464–469. 6 indexed citations
12.
Mustafa, Ghulam, Zhendong Niu, Abdallah Yousif, & John K. Tarus. (2015). Solving the class imbalance problems using RUSMultiBoost ensemble. 1–6. 12 indexed citations
13.
Mustafa, Ghulam, Zhendong Niu, Abdallah Yousif, & John K. Tarus. (2015). Distribution based ensemble for class imbalance learning. 98. 5–10. 6 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026