Saeed Ahmed

1.7k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Saeed Ahmed is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saeed Ahmed has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saeed Ahmed's work include Machine Learning in Bioinformatics (15 papers), RNA and protein synthesis mechanisms (7 papers) and Computational Drug Discovery Methods (5 papers). Saeed Ahmed is often cited by papers focused on Machine Learning in Bioinformatics (15 papers), RNA and protein synthesis mechanisms (7 papers) and Computational Drug Discovery Methods (5 papers). Saeed Ahmed collaborates with scholars based in Pakistan, China and Sweden. Saeed Ahmed's co-authors include Muhammad Kabir, Farman Ali, Zar Nawab Khan Swati, Zakir Ali, Jianfeng Lu, Qinghua Zhao, Muhammad Arif, Dong‐Jun Yu, Shahid Akbar and Zaheer Ullah Khan and has published in prestigious journals such as Analytical Biochemistry, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Saeed Ahmed

23 papers receiving 1.2k citations

Hit Papers

1 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
Saeed Ahmed Pakistan	13	576	517	371	356	226	26	1.2k
Zar Nawab Khan Swati Pakistan	11	574 1.0×	495 1.0×	325 0.9×	313 0.9×	226 1.0×	17	1.1k
Muhammad Kabir Pakistan	21	570 1.0×	510 1.0×	947 2.6×	326 0.9×	226 1.0×	37	1.8k
Zakir Ali China	12	567 1.0×	507 1.0×	188 0.5×	315 0.9×	217 1.0×	41	1.1k
Mobeen Ur Rehman South Korea	17	176 0.3×	297 0.6×	237 0.6×	144 0.4×	123 0.5×	42	793
Xiuquan Du China	18	60 0.1×	165 0.3×	502 1.4×	153 0.4×	245 1.1×	54	1.1k
Baisen Cong China	7	212 0.4×	344 0.7×	136 0.4×	142 0.4×	111 0.5×	8	640
Md Shahin Ali Bangladesh	15	207 0.4×	170 0.3×	65 0.2×	462 1.3×	165 0.7×	25	900
Yongxian Fan China	15	30 0.1×	117 0.2×	395 1.1×	189 0.5×	115 0.5×	37	708
Nadia Gul Pakistan	8	364 0.6×	263 0.5×	19 0.1×	319 0.9×	189 0.8×	13	676
Humayun Irshad United States	13	89 0.2×	728 1.4×	196 0.5×	999 2.8×	499 2.2×	20	1.5k

Countries citing papers authored by Saeed Ahmed

Since Specialization

Citations

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

Fields of papers citing papers by Saeed Ahmed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Ahmed. A scholar is included among the top collaborators of Saeed Ahmed 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 Saeed Ahmed. Saeed Ahmed 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

Kabir, Muhammad, et al.. (2025). PON-P3: Accurate Prediction of Pathogenicity of Amino Acid Substitutions. International Journal of Molecular Sciences. 26(5). 2004–2004.

Ahmed, Saeed, et al.. (2025). DeepHDAC3i: Leveraging an Interpretable Deep Learning-Based Framework for the Accelerated Discovery of HDAC3 Inhibitors. PubMed. 22(6). 2453–2464.

Ahmed, Saeed, et al.. (2024). An explainable stacking-based approach for accelerating the prediction of antidiabetic peptides. Analytical Biochemistry. 691. 115546–115546. 3 indexed citations

Mumtaz, Shahzad, et al.. (2024). Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model. Computers. 13(1). 31–31. 19 indexed citations

Mumtaz, Shahzad, et al.. (2024). A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud. Computation. 12(9). 173–173. 4 indexed citations

Ahmed, Saeed, et al.. (2024). A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images. Computation. 12(2). 33–33. 8 indexed citations

Ahmed, Saeed, et al.. (2024). A Computational Predictor for Accurate Identification of Tumor Homing Peptides by Integrating Sequential and Deep BiLSTM Features. Interdisciplinary Sciences Computational Life Sciences. 16(2). 503–518. 4 indexed citations

Ahmed, Saeed, et al.. (2024). A novel deep learning identifier for promoters and their strength using heterogeneous features. Methods. 230. 119–128. 10 indexed citations

Ahmed, Saeed, et al.. (2024). A novel stacking-based predictor for accurate prediction of antimicrobial peptides. Journal of Biomolecular Structure and Dynamics. 43(12). 6202–6213. 6 indexed citations

10.

Zhang, Haoyang, Muhammad Kabir, Saeed Ahmed, & Mauno Vihinen. (2024). There will always be variants of uncertain significance. Analysis of VUSs. NAR Genomics and Bioinformatics. 6(4). lqae154–lqae154. 1 indexed citations

11.

Ahmed, Saeed, et al.. (2023). A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest. Information. 14(12). 636–636. 6 indexed citations

12.

Mumtaz, Shahzad, et al.. (2023). Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images. Information. 14(12). 663–663.

13.

Mumtaz, Shahzad, et al.. (2023). Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models. Information. 14(7). 415–415. 42 indexed citations

14.

Arif, Muhammad, Muhammad Kabir, Saeed Ahmed, et al.. (2021). DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(5). 2749–2759. 32 indexed citations

15.

Ahmed, Saeed, Muhammad Kabir, Muhammad Arif, Zaheer Ullah Khan, & Dong‐Jun Yu. (2020). DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information. Analytical Biochemistry. 612. 113955–113955. 32 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.

Ali, Farman, Muhammad Arif, Zaheer Ullah Khan, et al.. (2019). SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM. Analytical Biochemistry. 589. 113494–113494. 47 indexed citations

18.

Ali, Farman, Saeed Ahmed, Zar Nawab Khan Swati, & Shahid Akbar. (2019). DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. Journal of Computer-Aided Molecular Design. 33(7). 645–658. 85 indexed citations

19.

Ahmed, Saeed, Muhammad Kabir, Muhammad Arif, et al.. (2018). Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine. International Journal of Data Mining and Bioinformatics. 21(3). 212–212. 17 indexed citations

20.

Ahmed, Saeed, Md. Mohsin Kabir, Zakir Ali, et al.. (2018). An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data. Combinatorial Chemistry & High Throughput Screening. 21(9). 631–645. 23 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.

Explore authors with similar magnitude of impact