Zeeshan Abbas

840 total citations
34 papers, 508 citations indexed

About

Zeeshan Abbas is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zeeshan Abbas has authored 34 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Zeeshan Abbas's work include Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). Zeeshan Abbas is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). Zeeshan Abbas collaborates with scholars based in South Korea, Pakistan and United Arab Emirates. Zeeshan Abbas's co-authors include Kil To Chong, Hilal Tayara, Saad Rizvi, Mobeen Ur Rehman, Seung Won Lee, Quan Zou, Shabbar Abbas, Lakmal Seneviratne, Irfan Hussain and Muhammad Akhtar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and International Journal of Molecular Sciences.

In The Last Decade

Zeeshan Abbas

29 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeeshan Abbas South Korea 14 177 98 98 77 50 34 508
Liangliang Liu China 8 63 0.4× 160 1.6× 117 1.2× 175 2.3× 10 0.2× 21 481
Surbhi Gupta India 15 81 0.5× 268 2.7× 188 1.9× 83 1.1× 42 0.8× 24 563
Simón Orozco-Arias Colombia 14 205 1.2× 132 1.3× 85 0.9× 103 1.3× 23 0.5× 39 588
Yu Guan China 11 121 0.7× 36 0.4× 238 2.4× 106 1.4× 33 0.7× 49 524
Xuebo Liu China 7 37 0.2× 88 0.9× 91 0.9× 80 1.0× 16 0.3× 16 354
Rahim Khan China 9 33 0.2× 124 1.3× 112 1.1× 66 0.9× 12 0.2× 19 365
Youxi Luo China 9 118 0.7× 79 0.8× 22 0.2× 17 0.2× 28 0.6× 22 527
Enas M. F. El Houby Egypt 11 33 0.2× 347 3.5× 270 2.8× 111 1.4× 17 0.3× 17 509
Murtada K. Elbashir Saudi Arabia 9 121 0.7× 124 1.3× 59 0.6× 43 0.6× 13 0.3× 45 371
Muhammad Umar Nasir Pakistan 12 49 0.3× 180 1.8× 102 1.0× 41 0.5× 9 0.2× 31 449

Countries citing papers authored by Zeeshan Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Zeeshan Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeeshan Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Zeeshan Abbas. A scholar is included among the top collaborators of Zeeshan Abbas 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 Zeeshan Abbas. Zeeshan Abbas 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.
Abbas, Zeeshan, et al.. (2026). A multiscale physics-informed framework for robust no-reference underwater image quality evaluation. Alexandria Engineering Journal. 135. 114–125.
2.
Rehman, Mobeen Ur, Zeeshan Abbas, Farman Ullah, & Irfan Hussain. (2025). AttnW2V-Enhancer: Leveraging attention and Word2Vec for enhanced enhancer prediction. Computational and Structural Biotechnology Journal. 27. 3275–3284.
3.
Abbas, Shabbar, et al.. (2025). Exploring the Role of Artificial Intelligence in Smart Healthcare: A Capability and Function-Oriented Review. Healthcare. 13(14). 1642–1642. 4 indexed citations
4.
Abbas, Zeeshan, et al.. (2025). HeartEnsembleNet: An Innovative Hybrid Ensemble Learning Approach for Cardiovascular Risk Prediction. Healthcare. 13(5). 507–507. 12 indexed citations
5.
6.
Abbas, Zeeshan, et al.. (2025). Experimental and statistical comparison of fracture and fatigue performance of notched geopolymer and conventional concrete beams. Theoretical and Applied Fracture Mechanics. 141. 105211–105211. 1 indexed citations
7.
Dharejo, Fayaz Ali, et al.. (2025). Lightweight Mamba Model for 3D Tumor Segmentation in Automated Breast Ultrasounds. Mathematics. 13(16). 2553–2553.
8.
Valencia, Martha L., Zeeshan Abbas, & Seung Won Lee. (2025). Efficacy and adverse events of immune checkpoint inhibitors: evidence from non-small cell lung cancer and gastric cancer in Korea and Japan. SHILAP Revista de lepidopterología. 9(1). 15–24. 1 indexed citations
9.
Abbas, Shabbar, et al.. (2025). Advancing genome-based precision medicine: a review on machine learning applications for rare genetic disorders. Briefings in Bioinformatics. 26(4). 5 indexed citations
10.
Rehman, Mobeen Ur, et al.. (2024). Advanced drone-based weed detection using feature-enriched deep learning approach. Knowledge-Based Systems. 305. 112655–112655. 34 indexed citations
11.
Abbas, Shabbar, et al.. (2024). Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration. Healthcare. 12(24). 2587–2587. 38 indexed citations
12.
Abbas, Zeeshan, Mobeen Ur Rehman, Hilal Tayara, Seung Won Lee, & Kil To Chong. (2024). m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications. Computers in Biology and Medicine. 182. 109087–109087. 8 indexed citations
13.
Abbas, Zeeshan, Mobeen Ur Rehman, Hilal Tayara, & Kil To Chong. (2023). ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion. Bioinformatics. 39(11). 14 indexed citations
14.
Abbas, Zeeshan & Kil To Chong. (2023). A Novel Approach Towards Fusion of Steganography and Cryptography for Enhanced Data Security using RGB Image. 88. 309–313. 1 indexed citations
15.
Abbas, Zeeshan, Hilal Tayara, & Kil To Chong. (2022). ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks. International Journal of Molecular Sciences. 23(15). 8314–8314. 17 indexed citations
16.
Abbas, Zeeshan, Hilal Tayara, & Kil To Chong. (2021). 4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network. Genes. 12(2). 296–296. 23 indexed citations
17.
Abbas, Zeeshan, Hilal Tayara, & Kil To Chong. (2021). ZayyuNet – A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(4). 2533–2544. 21 indexed citations
18.
Abbas, Zeeshan, Hilal Tayara, Quan Zou, & Kil To Chong. (2021). TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model. Computational and Structural Biotechnology Journal. 19. 4619–4625. 33 indexed citations
19.
Abbas, Zeeshan, Hilal Tayara, & Kil To Chong. (2020). SpineNet-6mA: A Novel Deep Learning Tool for Predicting DNA N6-Methyladenine Sites in Genomes. IEEE Access. 8. 201450–201457. 32 indexed citations
20.
Dawar, Shahnaz, et al.. (2010). Effect of (60Cobalt) gamma rays on growth and root rot diseases in mungbean (Vigna radiata L.).. Pakistan Journal of Botany. 42(3). 2165–2170. 13 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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