Safdar Ali

857 total citations
37 papers, 613 citations indexed

About

Safdar Ali is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Safdar Ali has authored 37 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Biophysics and 9 papers in Artificial Intelligence. Recurrent topics in Safdar Ali's work include Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Machine Learning in Bioinformatics (5 papers). Safdar Ali is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Chemometric Analyses (7 papers) and Machine Learning in Bioinformatics (5 papers). Safdar Ali collaborates with scholars based in Pakistan, South Korea and China. Safdar Ali's co-authors include Abdul Majid, Mehdi Hassan, Michael G. Davis, Nabeela Kausar, Abdul Majid, Mubashar Iqbal, G W Dorn, Muhammad Saleem, Michael W. Becker and Hani Alquhayz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Safdar Ali

37 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Safdar Ali Pakistan 15 185 150 92 69 62 37 613
Carlos Fernández-Lozano Spain 19 400 2.2× 121 0.8× 29 0.3× 97 1.4× 43 0.7× 57 1.1k
Suresh Dara India 9 277 1.5× 260 1.7× 33 0.4× 81 1.2× 15 0.2× 31 790
Fangfang Chen China 16 123 0.7× 108 0.7× 241 2.6× 55 0.8× 222 3.6× 51 604
Andreas Mayr Austria 13 1.0k 5.5× 262 1.7× 79 0.9× 200 2.9× 32 0.5× 17 1.9k
Dan Han China 8 231 1.2× 114 0.8× 23 0.3× 117 1.7× 13 0.2× 20 744
Swati Tiwari India 7 375 2.0× 88 0.6× 34 0.4× 19 0.3× 9 0.1× 21 994
Eros Comunello Brazil 13 116 0.6× 89 0.6× 26 0.3× 138 2.0× 11 0.2× 49 686
Xiong Li China 15 258 1.4× 144 1.0× 16 0.2× 37 0.5× 87 1.4× 54 717
Mehar Sahu India 8 412 2.2× 104 0.7× 39 0.4× 14 0.2× 10 0.2× 10 1.1k

Countries citing papers authored by Safdar Ali

Since Specialization
Citations

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

Fields of papers citing papers by Safdar Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Safdar Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Safdar Ali. A scholar is included among the top collaborators of Safdar 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 Safdar Ali. Safdar Ali 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.
Ali, Safdar, Ali Raza, Ibrar Hussain, et al.. (2025). Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. PLoS ONE. 20(1). e0315668–e0315668. 1 indexed citations
2.
Ali, Safdar, et al.. (2024). Optimization of Distributed Energy Resources Operation in Green Buildings Environment. Sensors. 24(14). 4742–4742. 1 indexed citations
3.
Hassan, Mehdi, et al.. (2023). Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images. Interdisciplinary Sciences Computational Life Sciences. 15(2). 273–292. 4 indexed citations
4.
Ali, Safdar, et al.. (2023). End-to-End 2D Convolutional Neural Network Architecture for Lung Nodule Identification and Abnormal Detection in Cloud. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 461–475. 6 indexed citations
5.
Saleem, Muhammad, et al.. (2022). Development of multivariate classification models for the diagnosis of dengue virus infection. Photodiagnosis and Photodynamic Therapy. 40. 103136–103136. 3 indexed citations
6.
Ali, Hamid, Abid Ali, Safdar Ali, et al.. (2021). Hepatoprotective Potential of Pomegranate in Curbing the Incidence of Acute Liver Injury by Alleviating Oxidative Stress and Inflammatory Response. Frontiers in Pharmacology. 12. 694607–694607. 22 indexed citations
7.
Hassan, Mehdi, et al.. (2020). Developing intelligent medical image modality classification system using deep transfer learning and LDA. Scientific Reports. 10(1). 12868–12868. 37 indexed citations
8.
Ali, Amjad, Safdar Ali, Bashir Ahmad, et al.. (2019). Steroidal alkaloids efficient aromatase inhibitors with potential for the treatment of postmenopausal breast cancer. Chemical Biology & Drug Design. 95(2). 233–239. 9 indexed citations
9.
Hassan, Mehdi, et al.. (2019). Robust spatial fuzzy GMM based MRI segmentation and carotid artery plaque detection in ultrasound images. Computer Methods and Programs in Biomedicine. 175. 179–192. 20 indexed citations
10.
Ou, S.‐H.I., Russell W. Madison, Jin‐Beom Chung, et al.. (2019). Comprehensive pan-cancer analysis of KRAS genomic alterations (GA) including potentially targetable subsets. Annals of Oncology. 30. v26–v26. 4 indexed citations
11.
Ali, Amjad, Bashir Ahmad, Naveed Iqbal, et al.. (2018). Evaluation of antidiabetic potential of steroidal alkaloid of Sarcococca saligna. Biomedicine & Pharmacotherapy. 100. 461–466. 24 indexed citations
12.
Ahmad, Bashir, Safdar Ali, Achyut Adhikari, et al.. (2017). Steroidal Alkaloids as an Emerging Therapeutic Alternative for Investigation of Their Immunosuppressive and Hepatoprotective Potential. Frontiers in Pharmacology. 8. 114–114. 16 indexed citations
13.
14.
Ali, Safdar & Abdul Majid. (2015). Can–Evo–Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences. Journal of Biomedical Informatics. 54. 256–269. 24 indexed citations
15.
Majid, Abdul, Safdar Ali, Mubashar Iqbal, & Nabeela Kausar. (2014). Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines. Computer Methods and Programs in Biomedicine. 113(3). 792–808. 84 indexed citations
16.
17.
Ali, Safdar, Abdul Majid, & Asifullah Khan. (2014). IDM-PhyChm-Ens: Intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids. Amino Acids. 46(4). 977–993. 21 indexed citations
18.
Ali, Safdar, Waseem Shahzad, & Farrukh Aslam Khan. (2010). Remote-to-Local attacks detection using incremental genetic algorithm. International Conference for Internet Technology and Secured Transactions. 1–6. 2 indexed citations
19.
Davis, Michael G., Ming Zhou, Safdar Ali, et al.. (1997). Intracrine and Autocrine Effects of Basic Fibroblast Growth Factor in Vascular Smooth Muscle Cells. Journal of Molecular and Cellular Cardiology. 29(4). 1061–1072. 36 indexed citations
20.
Davis, Michael G., Safdar Ali, George D. Leikauf, & G W Dorn. (1994). Tyrosine kinase inhibition prevents deformation-stimulated vascular smooth muscle growth.. Hypertension. 24(6). 706–713. 12 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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