Saad Rizvi

624 total citations
20 papers, 438 citations indexed

About

Saad Rizvi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Acoustics and Ultrasonics. According to data from OpenAlex, Saad Rizvi has authored 20 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 5 papers in Acoustics and Ultrasonics. Recurrent topics in Saad Rizvi's work include Advanced Image Fusion Techniques (6 papers), Random lasers and scattering media (5 papers) and Image Enhancement Techniques (5 papers). Saad Rizvi is often cited by papers focused on Advanced Image Fusion Techniques (6 papers), Random lasers and scattering media (5 papers) and Image Enhancement Techniques (5 papers). Saad Rizvi collaborates with scholars based in China, Pakistan and United Kingdom. Saad Rizvi's co-authors include Jie Cao, Qun Hao, Kaiyu Zhang, Zeeshan Abbas, Mobeen Ur Rehman, Qun Hao, Muhammad Noaman Zahid, Zhimin Wu, Xuemin Cheng and Kun Li and has published in prestigious journals such as Scientific Reports, Optics Express and IEEE Access.

In The Last Decade

Saad Rizvi

18 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saad Rizvi China	11	173	144	99	83	82	20	438
Fengqiang Li United States	11	168 1.0×	95 0.7×	76 0.8×	26 0.3×	14 0.2×	26	388
Carlos Hinojosa Colombia	10	23 0.1×	131 0.9×	106 1.1×	53 0.6×	53 0.6×	26	319
Yuchen He China	9	231 1.3×	75 0.5×	119 1.2×	66 0.8×	7 0.1×	43	303
Andrea Colaço United States	8	101 0.6×	145 1.0×	44 0.4×	24 0.3×	38 0.5×	17	559
Huaijin Chen United States	9	32 0.2×	150 1.0×	75 0.8×	37 0.4×	17 0.2×	11	301
Yanting Ma United States	10	52 0.3×	103 0.7×	24 0.2×	38 0.5×	53 0.6×	28	401
Junlin Li China	13	46 0.3×	117 0.8×	47 0.5×	145 1.7×	19 0.2×	47	401
Dongeek Shin United States	8	158 0.9×	139 1.0×	68 0.7×	36 0.4×	96 1.2×	16	872
Julie Chang United States	5	60 0.3×	98 0.7×	89 0.9×	259 3.1×	10 0.1×	5	480

Countries citing papers authored by Saad Rizvi

Since Specialization

Citations

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

Fields of papers citing papers by Saad Rizvi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Rizvi

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

Rizvi, Saad, et al.. (2022). Deep Learning Approach for Fixed and Rotary-Wing Target Detection and Classification in Radars. IEEE Aerospace and Electronic Systems Magazine. 37(3). 32–42. 15 indexed citations

Wang, Yingbo, Jie Cao, Saad Rizvi, & Qun Hao. (2021). Single Haze Image Restoration Under Non-Uniform Dense Scattering Media. IEEE Signal Processing Letters. 28. 1625–1629.

Hao, Qun, et al.. (2021). Infrared and visible image fusion via octave Gaussian pyramid framework. Scientific Reports. 11(1). 1235–1235. 17 indexed citations

Wang, Yingbo, et al.. (2020). Underwater Image Restoration Based on Adaptive Color Compensation and Dual Transmission Estimation. IEEE Access. 8. 207834–207843. 6 indexed citations

Hao, Qun, et al.. (2020). Study on Rotation and Scaling Invariance of Retina-Like Imaging. IEEE photonics journal. 12(5). 1–10. 3 indexed citations

Rizvi, Saad, Jie Cao, Kaiyu Zhang, & Qun Hao. (2020). DeepGhost: real-time computational ghost imaging via deep learning. Scientific Reports. 10(1). 11400–11400. 80 indexed citations

Wang, Yingbo, et al.. (2020). Fast Visibility Restoration Using a Single Degradation Image in Scattering Media. IEEE photonics journal. 12(3). 1–13. 6 indexed citations

Zahid, Muhammad Noaman, et al.. (2020). Security Issues and Challenges in RFID, Wireless Sensor Network and Optical Communication Networks and Solutions. 592–599. 1 indexed citations

Cao, Jie, et al.. (2020). Improving the Performance of Image Fusion Based on Visual Saliency Weight Map Combined With CNN. IEEE Access. 8. 59976–59986. 19 indexed citations

10.

Rizvi, Saad, Jie Cao, & Qun Hao. (2020). Deep learning based projector defocus compensation in single-pixel imaging. Optics Express. 28(17). 25134–25134. 18 indexed citations

11.

Rizvi, Saad, Jie Cao, Kaiyu Zhang, & Qun Hao. (2020). Deringing and denoising in extremely under-sampled Fourier single pixel imaging. Optics Express. 28(5). 7360–7360. 42 indexed citations

12.

Rizvi, Saad, Jie Cao, & Qun Hao. (2020). High-speed image-free target detection and classification in single-pixel imaging. 454. 28–28. 2 indexed citations

13.

Zahid, Muhammad Noaman, et al.. (2019). Reflectometric and interferometric fiber optic sensor’s principles and applications. Frontiers of Optoelectronics. 12(2). 215–226. 18 indexed citations

14.

Cao, Jie, et al.. (2019). Infrared and Visible Image Fusion via L0 Decomposition and Intensity Mask. IEEE photonics journal. 11(6). 1–11. 4 indexed citations

15.

Rizvi, Saad, Jie Cao, Kaiyu Zhang, & Qun Hao. (2019). Improving Imaging Quality of Real-time Fourier Single-pixel Imaging via Deep Learning. Sensors. 19(19). 4190–4190. 49 indexed citations

16.

Abbas, Zeeshan, et al.. (2019). Classification of Diabetic Retinopathy Images Based on Customised CNN Architecture. 244–248. 73 indexed citations

17.

Abbas, Zeeshan, et al.. (2019). An Efficient Gray-Level Co-Occurrence Matrix (GLCM) based Approach Towards Classification of Skin Lesion. 317–320. 30 indexed citations

18.

Wang, Xinyu, Jie Cao, Qun Hao, et al.. (2018). LBP-Based Edge Detection Method for Depth Images With Low Resolutions. IEEE photonics journal. 11(1). 1–11. 6 indexed citations

19.

Hao, Qun, et al.. (2018). Design of a retina-like transmitting system based on a curved lens array. Applied Optics. 57(29). 8494–8494. 1 indexed citations

20.

Rehman, Mobeen Ur, et al.. (2018). Classification of Skin Lesion by Interference of Segmentation and Convolotion Neural Network. 81–85. 48 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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