Ali Ghulam

517 total citations
31 papers, 380 citations indexed

About

Ali Ghulam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Ali Ghulam has authored 31 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in Ali Ghulam's work include Machine Learning in Bioinformatics (16 papers), Computational Drug Discovery Methods (7 papers) and vaccines and immunoinformatics approaches (6 papers). Ali Ghulam is often cited by papers focused on Machine Learning in Bioinformatics (16 papers), Computational Drug Discovery Methods (7 papers) and vaccines and immunoinformatics approaches (6 papers). Ali Ghulam collaborates with scholars based in Pakistan, China and Saudi Arabia. Ali Ghulam's co-authors include Farman Ali, Ahsanullah Unar, Shahid Akbar, Shruti Patil, Aftab Ahmed, Ashfaq Ahmad, Tanvir Alam, Muhammad Arif, Zar Nawab Khan Swati and Xiujuan Lei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ali Ghulam

26 papers receiving 375 citations

Peers

Ali Ghulam

CTM

MICRO

CNC

Jinghao Xu China

Guangmin Liang China

Saeed Ahmad Pakistan

Zhenyu Yang China

Shengli Zhang China

Jaswinder Singh Australia

Juan Felipe Beltrán United States

Suyu Mei China

Ahmad Hassan Butt Pakistan

Zhe Ju China

Jinghao Xu China

Ali Ghulam

718 ×2.7

85 ×0.9

CTM

19 ×0.6

MICRO

43 ×1.3

21 ×0.9

CNC

Citations per year, relative to Ali Ghulam Ali Ghulam (= 1×) peers Jinghao Xu

Countries citing papers authored by Ali Ghulam

Since Specialization

Citations

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

Fields of papers citing papers by Ali Ghulam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ghulam

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

All Works

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20 of 20 papers shown

Ghulam, Ali, Muhammad Arif, Ahsanullah Unar, et al.. (2025). StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach. IET Systems Biology. 19(1). e70002–e70002.

Gul, Iftikhar Hussain, et al.. (2025). Enhancement of electrochemical properties of NiAl-LDH@NiCoSe2 nanocomposite for asymmetric supercapacitor application. FlatChem. 52. 100894–100894. 1 indexed citations

Ghulam, Ali, et al.. (2024). ML-Based Detection of DDoS Attacks Using Evolutionary Algorithms Optimization. Sensors. 24(5). 1672–1672. 9 indexed citations

Arif, Muhammad, et al.. (2024). StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features. Methods. 230. 129–139. 7 indexed citations

Ghulam, Ali, et al.. (2024). TELEMEDICINE AND ITS EFFECT ON CHRONIC DISEASE MANAGEMENT IN REMOTE COMMUNITIES. 2(2 (Health & Rehab)). 355–361. 1 indexed citations

Arif, Muhammad, et al.. (2024). DPI_CDF: druggable protein identifier using cascade deep forest. BMC Bioinformatics. 25(1). 145–145. 17 indexed citations

Ghulam, Ali, et al.. (2023). A Survey on Blockchain-based Intrusion Detection Systems for IoT. 11(1). 138–151. 1 indexed citations

Ghulam, Ali, et al.. (2023). A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking. Sustainability. 15(14). 10931–10931. 9 indexed citations

Asad, Muhammad, et al.. (2023). A Survey on Security Issues and Attacks of Fog Computing. VFAST Transactions on Software Engineering. 11(1). 1–11. 6 indexed citations

10.

Ghulam, Ali, et al.. (2023). Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles. SHILAP Revista de lepidopterología. 42(4). 28–28. 1 indexed citations

11.

Ghulam, Ali, et al.. (2023). DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles. 11(1). 54–66. 9 indexed citations

12.

Malik, Kaleem Razzaq, et al.. (2022). Disease Identification using Deep Learning in Agriculture: A Case Study of Cotton Plant. VFAST Transactions on Software Engineering. 10(4). 104–115. 1 indexed citations

13.

Swati, Zar Nawab Khan, et al.. (2022). XGboost-Ampy: Identification of AMPylation Protein Function Prediction Using Machine Learning. 10(2). 83–95. 1 indexed citations

14.

Afridi, Hassan Imran, et al.. (2022). Selenium and mercury concentrations in biological samples from patients with COVID-19. Journal of Trace Elements in Medicine and Biology. 73. 127038–127038. 9 indexed citations

15.

Ghulam, Ali, et al.. (2022). UBI-XGB: IDENTIFICATION OF UBIQUITIN PROTEINS USING MACHINE LEARNING MODEL. SHILAP Revista de lepidopterología. 8. 14–14. 15 indexed citations

16.

Ghulam, Ali, et al.. (2022). AI and Machine Learning-based practices in various domains: A Survey. 10(1). 21–41. 12 indexed citations

17.

Ghulam, Ali, Xiujuan Lei, Yuchen Zhang, & Zhenqiang Wu. (2022). Human drug-pathway association prediction based on network consistency projection. Computational Biology and Chemistry. 97. 107624–107624. 4 indexed citations

18.

Arif, Muhammad, et al.. (2022). Identification of the ubiquitin–proteasome pathway domain by hyperparameter optimization based on a 2D convolutional neural network. Frontiers in Genetics. 13. 851688–851688. 8 indexed citations

19.

Ghulam, Ali, et al.. (2022). XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set. Scientific Reports. 12(1). 5505–5505. 62 indexed citations

20.

Ali, Farman, et al.. (2021). AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information. Computers in Biology and Medicine. 139. 105006–105006. 71 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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