Hamad Zogan

417 total citations
10 papers, 249 citations indexed

About

Hamad Zogan is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Hamad Zogan has authored 10 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Social Psychology. Recurrent topics in Hamad Zogan's work include Sentiment Analysis and Opinion Mining (5 papers), Mental Health via Writing (4 papers) and Nonlinear Waves and Solitons (4 papers). Hamad Zogan is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Mental Health via Writing (4 papers) and Nonlinear Waves and Solitons (4 papers). Hamad Zogan collaborates with scholars based in Saudi Arabia, Australia and United Kingdom. Hamad Zogan's co-authors include Guandong Xu, Shoaib Jameel, Imran Razzak, Xianzhi Wang, Jianlong Zhou, Fang Chen, Shuiqiao Yang, Abdullah A. Faqihi and Shahid Ahmad Wani and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Computational Social Systems and Mathematics.

In The Last Decade

Hamad Zogan

8 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamad Zogan Saudi Arabia	5	158	132	96	62	22	10	249
Yuanyuan Xue China	7	154 1.0×	115 0.9×	98 1.0×	99 1.6×	14 0.6×	21	268
Huijie Lin China	5	200 1.3×	212 1.6×	120 1.3×	124 2.0×	20 0.9×	8	369
Akkapon Wongkoblap United Kingdom	7	175 1.1×	107 0.8×	138 1.4×	84 1.4×	11 0.5×	8	295
Judy Hanwen Shen United States	4	109 0.7×	85 0.6×	56 0.6×	28 0.5×	7 0.3×	10	237
George Gkotsis United Kingdom	8	203 1.3×	151 1.1×	107 1.1×	64 1.0×	15 0.7×	10	356
Annika Marie Schoene United Kingdom	8	191 1.2×	164 1.2×	96 1.0×	66 1.1×	4 0.2×	16	353
Youngseo Son United States	7	123 0.8×	99 0.8×	54 0.6×	55 0.9×	5 0.2×	9	221
Amanuel Alambo United States	8	186 1.2×	148 1.1×	95 1.0×	48 0.8×	10 0.5×	11	291
Ahmed Husseini Orabi Canada	4	182 1.2×	146 1.1×	99 1.0×	60 1.0×	8 0.4×	9	231
Yannis Haralambous France	5	108 0.7×	119 0.9×	82 0.9×	53 0.9×	2 0.1×	28	354

Countries citing papers authored by Hamad Zogan

Since Specialization

Citations

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

Fields of papers citing papers by Hamad Zogan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamad Zogan

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

All Works

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10 of 10 papers shown

Zogan, Hamad, et al.. (2024). IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. 18–27. 2 indexed citations

Wani, Shahid Ahmad, et al.. (2024). Several Characterizations of the Generalized 1-Parameter 3-Variable Hermite Polynomials. Mathematics. 12(16). 2459–2459.

Zogan, Hamad, et al.. (2024). Dark and bright hump solitons in the realm of the quintic Benney-Lin equation governing a liquid film. AIMS Mathematics. 9(10). 29167–29196. 1 indexed citations

Zogan, Hamad, et al.. (2024). Analysis of peakon-like soliton solutions: (3+1)-dimensional Fractional Klein-Gordon equation. AIMS Mathematics. 9(6). 14913–14931. 3 indexed citations

Zogan, Hamad, et al.. (2024). Probing the diversity of kink solitons in nonlinear generalised Zakharov-Kuznetsov-Benjamin-Bona-Mahony dynamical model. AIMS Mathematics. 9(12). 34886–34905.

Zogan, Hamad, et al.. (2024). Kink soliton solution of integrable Kairat-X equation via two integration algorithms. AIMS Mathematics. 9(11). 30153–30173. 4 indexed citations

Zogan, Hamad, Imran Razzak, Shoaib Jameel, & Guandong Xu. (2023). Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE Journal of Biomedical and Health Informatics. 28(4). 1815–1823. 19 indexed citations

Zogan, Hamad, Imran Razzak, Xianzhi Wang, Shoaib Jameel, & Guandong Xu. (2022). Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web. 25(1). 281–304. 104 indexed citations

Zhou, Jianlong, Hamad Zogan, Shuiqiao Yang, et al.. (2021). Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Transactions on Computational Social Systems. 8(4). 982–991. 69 indexed citations

10.

Zogan, Hamad, Imran Razzak, Shoaib Jameel, & Guandong Xu. (2021). DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. arXiv (Cornell University). 133–142. 47 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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