Saad Sadiq

1.9k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Saad Sadiq is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Saad Sadiq has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Saad Sadiq's work include Anomaly Detection Techniques and Applications (4 papers), Topic Modeling (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Saad Sadiq is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Topic Modeling (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Saad Sadiq collaborates with scholars based in United States, Netherlands and Spain. Saad Sadiq's co-authors include Mei‐Ling Shyu, Yilin Yan, Shu‐Ching Chen, Yudong Tao, Haiman Tian, Samira Pouyanfar, S. S. Iyengar, Maria Presa Reyes, Daniel J. Feaster and Hemant Ishwaran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACM Computing Surveys and Journal of Computational and Graphical Statistics.

In The Last Decade

Saad Sadiq

15 papers receiving 1.2k 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.

A Survey on Deep Learning

2018 915 citations Samira Pouyanfar, Saad Sadiq et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saad Sadiq United States	10	495	291	123	102	97	16	1.2k
Christos N. Schizas Cyprus	19	350 0.7×	258 0.9×	229 1.9×	88 0.9×	160 1.6×	104	1.4k
Soumya Ray United States	17	810 1.6×	374 1.3×	87 0.7×	139 1.4×	33 0.3×	64	1.4k
Yuan Tian China	22	285 0.6×	589 2.0×	154 1.3×	265 2.6×	90 0.9×	117	1.8k
Christin Seifert Germany	19	807 1.6×	393 1.4×	67 0.5×	161 1.6×	45 0.5×	100	1.5k
Jiawei Zhang China	18	431 0.9×	219 0.8×	141 1.1×	164 1.6×	61 0.6×	75	1.4k
Siti Norul Huda Sheikh Abdullah Malaysia	25	531 1.1×	805 2.8×	212 1.7×	221 2.2×	149 1.5×	185	2.0k
Minghui Wu China	20	345 0.7×	171 0.6×	180 1.5×	259 2.5×	181 1.9×	170	1.5k
Richard Jiang United Kingdom	20	550 1.1×	474 1.6×	73 0.6×	106 1.0×	137 1.4×	98	1.7k
Haibin Lin China	8	455 0.9×	502 1.7×	179 1.5×	131 1.3×	97 1.0×	18	1.2k

Countries citing papers authored by Saad Sadiq

Since Specialization

Citations

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

Fields of papers citing papers by Saad Sadiq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Sadiq

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

All Works

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16 of 16 papers shown

1.

Sadiq, Saad, et al.. (2025). Towards Efficient Vehicle Recognition: A Unified System for VMMR, ANPR, and Color Classification. Computers, materials & continua/Computers, materials & continua (Print). 85(2). 3945–3963.

2.

Chen, Shu‐Ching, et al.. (2023). Enabling Synergistic Knowledge Sharing and Reasoning in Large Language Models with Collaborative Multi-Agents. 92–98. 1 indexed citations

3.

Qadir, Mirza Muhammad Fahd, Silvia Álvarez-Cubela, Dagmar Klein, et al.. (2020). Single-cell resolution analysis of the human pancreatic ductal progenitor cell niche. Proceedings of the National Academy of Sciences. 117(20). 10876–10887. 105 indexed citations

4.

Sadiq, Saad, et al.. (2019). High Dimensional Latent Space Variational AutoEncoders for Fake News Detection. 7 indexed citations

5.

Pouyanfar, Samira, Yudong Tao, Saad Sadiq, et al.. (2019). Unconstrained Flood Event Detection Using Adversarial Data Augmentation. 155–159. 17 indexed citations

6.

Sadiq, Saad, et al.. (2019). A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices. 193–199. 12 indexed citations

7.

Sadiq, Saad, et al.. (2019). 3D Plotting of scRNAseq data using Seurat objects. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

8.

Sadiq, Saad, et al.. (2019). Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis. 847–854. 20 indexed citations

9.

Pouyanfar, Samira, Saad Sadiq, Yilin Yan, et al.. (2018). A Survey on Deep Learning. ACM Computing Surveys. 51(5). 1–36. 915 indexed citations breakdown →

10.

Sadiq, Saad, et al.. (2018). Reduced Residual Nets (Red-Nets): Low Powered Adversarial Outlier Detectors. 3. 436–443. 10 indexed citations

11.

Sadiq, Saad, Mei‐Ling Shyu, & Daniel J. Feaster. (2018). Counterfactual Autoencoder for Unsupervised Semantic Learning. RePEc: Research Papers in Economics. 9(4). 1–20. 2 indexed citations

12.

Yan, Yilin, Min Chen, Saad Sadiq, & Mei‐Ling Shyu. (2017). Efficient Imbalanced Multimedia Concept Retrieval by Deep Learning on Spark Clusters. RePEc: Research Papers in Economics. 8(1). 1–20. 19 indexed citations

13.

Sadiq, Saad, et al.. (2017). AAFA: Associative Affinity Factor Analysis for Bot Detection and Stance Classification in Twitter. 3. 356–365. 13 indexed citations

14.

Sadiq, Saad, Yudong Tao, Yilin Yan, & Mei‐Ling Shyu. (2017). Mining Anomalies in Medicare Big Data Using Patient Rule Induction Method. 185–192. 25 indexed citations

15.

Lü, Min, Saad Sadiq, Daniel J. Feaster, & Hemant Ishwaran. (2017). Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods. Journal of Computational and Graphical Statistics. 27(1). 209–219. 82 indexed citations

16.

Sadiq, Saad, Yilin Yan, Mei‐Ling Shyu, Shu‐Ching Chen, & Hemant Ishwaran. (2016). Enhancing Multimedia Imbalanced Concept Detection Using VIMP in Random Forests. PubMed. 2016. 601–608. 8 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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