Kamal Al‐Sabahi

767 total citations · 1 hit paper
11 papers, 518 citations indexed

About

Kamal Al‐Sabahi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kamal Al‐Sabahi has authored 11 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Kamal Al‐Sabahi's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Kamal Al‐Sabahi is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Kamal Al‐Sabahi collaborates with scholars based in China, Oman and Yemen. Kamal Al‐Sabahi's co-authors include Mohammed Al‐Habib, Majjed Al-Qatf, Lasheng Yu, Zuping Zhang, Kang Yang, Jiayang Wang, Farida Mohsen, Ming Yang, Shangwen Wang and Yihao Qin and has published in prestigious journals such as IEEE Access, Engineering Applications of Artificial Intelligence and Applied Intelligence.

In The Last Decade

Kamal Al‐Sabahi

10 papers receiving 494 citations

Hit Papers

align trajectories

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.

Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection

2018 364 citations Majjed Al-Qatf, Lasheng Yu et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamal Al‐Sabahi China	6	429	313	179	41	32	11	518
İlhan Fırat Kılınçer Türkiye	7	264 0.6×	328 1.0×	178 1.0×	70 1.7×	35 1.1×	15	413
Jiancheng Qin China	7	231 0.5×	271 0.9×	153 0.9×	51 1.2×	17 0.5×	33	364
Giampaolo Bovenzi Italy	10	371 0.9×	423 1.4×	208 1.2×	55 1.3×	41 1.3×	23	516
Richard Zuech United States	8	267 0.6×	326 1.0×	167 0.9×	105 2.6×	35 1.1×	15	423
Zied Elouedi Tunisia	5	275 0.6×	251 0.8×	119 0.7×	75 1.8×	19 0.6×	10	378
Ly Vu Vietnam	9	305 0.7×	331 1.1×	167 0.9×	51 1.2×	35 1.1×	19	399
Srilatha Chebrolu India	5	347 0.8×	378 1.2×	188 1.1×	90 2.2×	18 0.6×	16	485
Majjed Al-Qatf China	7	302 0.7×	317 1.0×	170 0.9×	30 0.7×	30 0.9×	13	425
Adel Abusitta Canada	10	239 0.6×	267 0.9×	178 1.0×	103 2.5×	35 1.1×	24	427
Hamad Binsalleeh Saudi Arabia	11	352 0.8×	303 1.0×	236 1.3×	221 5.4×	29 0.9×	18	529

Countries citing papers authored by Kamal Al‐Sabahi

Since Specialization

Citations

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

Fields of papers citing papers by Kamal Al‐Sabahi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamal Al‐Sabahi. 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 Kamal Al‐Sabahi. The network helps show where Kamal Al‐Sabahi may publish in the future.

Co-authorship network of co-authors of Kamal Al‐Sabahi

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Al‐Sabahi, Kamal, et al.. (2024). Multi-head sequence tagging model for Grammatical Error Correction. Engineering Applications of Artificial Intelligence. 133. 108314–108314.

2.

Yang, Kang, Xinjun Mao, Shangwen Wang, et al.. (2023). An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. 89–100. 1 indexed citations

3.

Al‐Sabahi, Kamal & Kang Yang. (2023). Supervised Copy Mechanism for Grammatical Error Correction. IEEE Access. 11. 72374–72383. 4 indexed citations

4.

Mohsen, Farida, Jiayang Wang, & Kamal Al‐Sabahi. (2020). A hierarchical self-attentive neural extractive summarizer via reinforcement learning (HSASRL). Applied Intelligence. 50(9). 2633–2646. 19 indexed citations

5.

Al‐Sabahi, Kamal & Zuping Zhang. (2019). Document Summarization Using Sentence-Level Semantic Based on Word Embeddings. International Journal of Software Engineering and Knowledge Engineering. 29(2). 177–196. 8 indexed citations

6.

Zhang, Zuping, et al.. (2019). A Novel Integrated Approach for Companion Vehicle Discovery Based on Frequent Itemset Mining on Spark. Arabian Journal for Science and Engineering. 44(11). 9517–9527. 5 indexed citations

7.

Yang, Kang, et al.. (2019). EcForest: Extractive document summarization through enhanced sentence embedding and cascade forest. Concurrency and Computation Practice and Experience. 31(17). 9 indexed citations

8.

Al‐Habib, Mohammed, et al.. (2019). Cooperative Hierarchical Framework for Group Activity Recognition. 291–298. 2 indexed citations

9.

Al-Qatf, Majjed, Lasheng Yu, Mohammed Al‐Habib, & Kamal Al‐Sabahi. (2018). Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection. IEEE Access. 6. 52843–52856. 364 indexed citations breakdown →

10.

Yang, Kang, et al.. (2018). An Integrated Graph Model for Document Summarization. Information. 9(9). 232–232. 13 indexed citations

11.

Al‐Sabahi, Kamal, et al.. (2018). A Hierarchical Structured Self-Attentive Model for Extractive Document Summarization (HSSAS). IEEE Access. 6. 24205–24212. 93 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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