Farman Ali

3.8k total citations · 1 hit paper
90 papers, 3.0k citations indexed

About

Farman Ali is a scholar working on Molecular Biology, Computational Theory and Mathematics and Microbiology. According to data from OpenAlex, Farman Ali has authored 90 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 10 papers in Microbiology. Recurrent topics in Farman Ali's work include Machine Learning in Bioinformatics (46 papers), RNA and protein synthesis mechanisms (18 papers) and Computational Drug Discovery Methods (14 papers). Farman Ali is often cited by papers focused on Machine Learning in Bioinformatics (46 papers), RNA and protein synthesis mechanisms (18 papers) and Computational Drug Discovery Methods (14 papers). Farman Ali collaborates with scholars based in Pakistan, China and Saudi Arabia. Farman Ali's co-authors include Maqsood Hayat, Zar Nawab Khan Swati, Muhammad Kabir, Saeed Ahmed, Zakir Ali, Shahid Akbar, Qinghua Zhao, Jianfeng Lu, Ashfaq Ahmad and Zaheer Ullah Khan and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Farman Ali

84 papers receiving 2.9k 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.

Brain tumor classification for MR images using transfer learning and fine-tuning

2019 563 citations Zar Nawab Khan Swati, Qinghua Zhao et al. Computerized Medical Imaging and Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farman Ali Pakistan	30	1.7k	617	582	468	441	90	3.0k
Muhammad Kabir Pakistan	21	947 0.5×	570 0.9×	510 0.9×	326 0.7×	165 0.4×	37	1.8k
Abdollah Dehzangi United States	32	2.6k 1.5×	171 0.3×	177 0.3×	367 0.8×	472 1.1×	102	3.5k
Minghui Wang China	23	995 0.6×	181 0.3×	263 0.5×	661 1.4×	192 0.4×	100	2.0k
Fengfeng Zhou China	31	1.9k 1.1×	50 0.1×	199 0.3×	435 0.9×	168 0.4×	170	3.4k
Shahid Akbar Pakistan	26	1.2k 0.7×	43 0.1×	89 0.2×	237 0.5×	278 0.6×	40	1.8k
Balachandran Manavalan South Korea	46	5.0k 2.9×	109 0.2×	45 0.1×	263 0.6×	671 1.5×	130	6.3k
Maqsood Hayat Pakistan	36	3.0k 1.7×	35 0.1×	77 0.1×	258 0.6×	471 1.1×	72	3.5k
Wenlu Zhang China	26	1.2k 0.7×	245 0.4×	514 0.9×	413 0.9×	18 0.0×	109	2.9k
Jialiang Yang China	36	2.3k 1.3×	54 0.1×	91 0.2×	448 1.0×	522 1.2×	182	4.1k
Yuanpeng Zhang China	22	454 0.3×	85 0.1×	175 0.3×	449 1.0×	53 0.1×	113	1.6k

Countries citing papers authored by Farman Ali

Since Specialization

Citations

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

Fields of papers citing papers by Farman Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farman Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Farman Ali. A scholar is included among the top collaborators of Farman Ali 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 Farman Ali. Farman Ali 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:

20 of 20 papers shown

Ali, Farman, et al.. (2025). Advancing neurological disease treatment: a computational approach for fibroblast growth factor detection. Biomedical Engineering Letters. 16(1). 167–176.

Singh, Jaiteg, et al.. (2025). Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis. Alexandria Engineering Journal. 124. 170–187. 2 indexed citations

Ali, Farman, Raed Alsini, Tamim Alkhalifah, et al.. (2025). Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks. Ecological Informatics. 91. 103400–103400. 1 indexed citations

Ali, Farman, et al.. (2025). IR-MBiTCN: Computational prediction of insulin receptor using deep learning: A multi-information fusion approach with multiscale bidirectional temporal convolutional network. International Journal of Biological Macromolecules. 311(Pt 2). 143844–143844. 4 indexed citations

Ali, Farman, et al.. (2024). IP-GCN: A deep learning model for prediction of insulin using graph convolutional network for diabetes drug design. Journal of Computational Science. 81. 102388–102388. 11 indexed citations

Ali, Farman, et al.. (2024). VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. Journal of Computational Science. 83. 102448–102448. 13 indexed citations

Ali, Farman, et al.. (2024). Multi-headed ensemble residual CNN: A powerful tool for fibroblast growth factor prediction. Results in Engineering. 24. 103348–103348. 15 indexed citations

Ali, Atif, et al.. (2024). The Synergy of Artificial Intelligence and Cybersecurity. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 2. 1–5. 1 indexed citations

Ali, Farman, et al.. (2024). DEEP-EP: Identification of epigenetic protein by ensemble residual convolutional neural network for drug discovery. Methods. 226. 49–53. 14 indexed citations

10.

Alsini, Raed, et al.. (2024). Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network. Journal of Biomolecular Structure and Dynamics. 43(16). 8893–8903. 15 indexed citations

11.

Khan, Fiaz Gul, et al.. (2024). Survey: application and analysis of generative adversarial networks in medical images. Artificial Intelligence Review. 58(2). 5 indexed citations

12.

Ali, Farman, Harish Kumar, Wajdi Alghamdi, Faris Kateb, & Fawaz Khaled Alarfaj. (2023). Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides. Archives of Computational Methods in Engineering. 30(7). 4033–4044. 32 indexed citations

13.

Merla, Arcangelo, et al.. (2023). A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes. Frontiers in Public Health. 11. 1308404–1308404. 7 indexed citations

14.

Akbar, Shahid, Heba G. Mohamed, Hashim Ali, et al.. (2023). Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy. IEEE Access. 11. 49024–49034. 33 indexed citations

15.

Hussain, Nazar, et al.. (2020). Comparison of Miniplate and K-wire in the Treatment of Metacarpal and Phalangeal Fractures. Cureus. 12(2). e7039–e7039. 12 indexed citations

16.

Swati, Zar Nawab Khan, Qinghua Zhao, Muhammad Kabir, et al.. (2019). Brain tumor classification for MR images using transfer learning and fine-tuning. Computerized Medical Imaging and Graphics. 75. 34–46. 563 indexed citations breakdown →

17.

Arif, Muhammad, Farman Ali, Saeed Ahmad, et al.. (2019). Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination. Genomics. 112(2). 1565–1574. 52 indexed citations

18.

Ali, Farman, et al.. (2018). Toxic effect of atrazine herbicide on the hematological indices of snow carp (Schizothorax plagiostomus): an indigenous fish species of economic importance.. Fresenius environmental bulletin. 27(5). 3075–3080. 5 indexed citations

19.

Ali, Farman, et al.. (2017). Lower limb amputations: Our experience single centre study. Scholar Science Journals - International Journal of Biomedical Research. 8(4). 133–137.

20.

Ali, Farman, et al.. (2016). Concurrence of Torus Palatinus, Torus Mandibularis and Buccal Exostosis.. PubMed. 26(11). 111–113. 9 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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