Fahad Saeed

2.3k total citations · 1 hit paper
78 papers, 1.5k citations indexed

About

Fahad Saeed is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Fahad Saeed has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 23 papers in Spectroscopy and 20 papers in Artificial Intelligence. Recurrent topics in Fahad Saeed's work include Advanced Proteomics Techniques and Applications (23 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Mass Spectrometry Techniques and Applications (13 papers). Fahad Saeed is often cited by papers focused on Advanced Proteomics Techniques and Applications (23 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Mass Spectrometry Techniques and Applications (13 papers). Fahad Saeed collaborates with scholars based in United States, Thailand and Iraq. Fahad Saeed's co-authors include Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Jason D. Hoffert, Mark A. Knepper, Trairak Pisitkun, Pablo C. Sandoval, Joseph S. Raiker, Jae Hwi Song and Muhammad Usman Tariq and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Fahad Saeed

72 papers receiving 1.4k 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.

Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

2020 424 citations Mohammed Aledhari, Rehma Razzak et al. IEEE Access profile →

Peers

Countries citing papers authored by Fahad Saeed

Since Specialization

Citations

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

Fields of papers citing papers by Fahad Saeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahad Saeed

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

#	Work	Indexed citations
1	Making MS Omics Data ML-Ready: SpeCollate Protocols 2024 ·Methods in molecular biology ·(unknown), (unknown), Fahad Saeed	0
2	Hydrologic interpretation of machine learning models for 10-daily streamflow simulation in climate sensitive upper Indus catchments 2024 ·Theoretical and Applied Climatology ·(unknown), Taimoor Akhtar, Muhammad Zia ur Rahman Hashmi, (unknown), Fahad Saeed	11
3	Pvtad: Alzheimer’s Disease Diagnosis Using Pyramid Vision Transformer Applied to White Matter of T1-Weighted Structural Mri Data 2024 ·PubMed ·(unknown), Serdar Bozdag, Fahad Saeed	3
4	Description of Dissolved Organic Matter Transformational Networks at the Molecular Level 2023 ·Environmental Science & Technology ·(unknown), Muhammad Usman Tariq, Rudolf Jaffé, Fahad Saeed, Francisco Fernández-Lima	21
5	PPAD: a deep learning architecture to predict progression of Alzheimer’s disease 2023 ·Bioinformatics ·(unknown), (unknown), Fahad Saeed, Serdar Bozdag, (unknown)	10
6	High Transaction Rates Performance Evaluation for Secure E-government Based on Private Blockchain Scheme 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Fahad Saeed	0
7	GPU-acceleration of the distributed-memory database peptide search of mass spectrometry data 2023 ·Scientific Reports ·(unknown), Fahad Saeed	1
8	Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data 2023 ·Neuroinformatics ·(unknown), Zeina Al Masry, Fahad Saeed	5
9	Unsupervised Structural Classification of Dissolved Organic Matter Based on Fragmentation Pathways 2022 ·Environmental Science & Technology ·(unknown), Muhammad Usman Tariq, Rudolf Jaffé, Fahad Saeed, Francisco Fernández-Lima	20
10	Molecular level characterization of DOM along a freshwater-to-estuarine coastal gradient in the Florida Everglades 2022 ·Aquatic Sciences ·(unknown), Rudolf Jaffé, (unknown), John S. Kominoski, Muhammad Usman Tariq, Fahad Saeed, Francisco Fernández-Lima	8
11	Benchmarking mass spectrometry based proteomics algorithms using a simulated database 2021 ·Network Modeling Analysis in Health Informatics and Bioinformatics ·(unknown), (unknown), Fahad Saeed	1
12	Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey 2021 ·Frontiers in Neuroinformatics ·(unknown), (unknown), Joseph S. Raiker, Fahad Saeed	76
13	High performance computing framework for tera-scale database search of mass spectrometry data 2021 ·Nature Computational Science ·(unknown), Fahad Saeed	7
14	Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter 2021 ·2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ·Muhammad Usman Tariq, (unknown), (unknown), Fahad Saeed	1
15	Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications breakdown → 2020 ·IEEE Access ·Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed	424
16	A new cryptography algorithm to protect cloud-based healthcare services 2017 ·Mohammed Aledhari, (unknown), (unknown), Fahad Saeed	7
17	A Parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets 2015 ·(unknown), Fahad Saeed	2
18	Autophagic degradation of aquaporin-2 is an early event in hypokalemia-induced nephrogenic diabetes insipidus 2015 ·Scientific Reports ·Sookkasem Khositseth, Panapat Uawithya, Poorichaya Somparn, Komgrid Charngkaew, (unknown), Jason D. Hoffert, Fahad Saeed, D. Michael Payne, Shu‐Hui Chen, Robert A. Fenton, Trairak Pisitkun	51
19	A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes 2011 ·Journal of Parallel and Distributed Computing ·Fahad Saeed, (unknown), (unknown), Tanya Berger‐Wolf, Ashfaq Khokhar	9
20	Dynamics of the G Protein-coupled Vasopressin V2 Receptor Signaling Network Revealed by Quantitative Phosphoproteomics 2011 ·Molecular & Cellular Proteomics ·Jason D. Hoffert, Trairak Pisitkun, Fahad Saeed, Jae Hwi Song, (unknown), Mark A. Knepper	68

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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