Salman Qadri

1.4k total citations · 1 hit paper
45 papers, 845 citations indexed

About

Salman Qadri is a scholar working on Artificial Intelligence, Plant Science and Information Systems. According to data from OpenAlex, Salman Qadri has authored 45 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Plant Science and 8 papers in Information Systems. Recurrent topics in Salman Qadri's work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Leaf Properties and Growth Measurement (5 papers). Salman Qadri is often cited by papers focused on Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Leaf Properties and Growth Measurement (5 papers). Salman Qadri collaborates with scholars based in Pakistan, China and Finland. Salman Qadri's co-authors include Syed Furqan Qadri, Dost Muhammad Khan, Mubashir Ahmad, Linlin Shen, Salabat Khan, Muhammad Sharif, Francesco Marinello, Naz̲īr Aḥmad, Muhammad Azeem Akbar and Christophe Chesneau and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Salman Qadri

43 papers receiving 795 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.

Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease

2023 73 citations Salman Qadri et al. profile →

Peers

Salman Qadri

AI

CVPR

RNMI

PS

NEURO

Syed Furqan Qadri China

Serhat Kılıçarslan Türkiye

Vatsala Anand India

Kemal Adem Türkiye

Taye Girma Debelee Ethiopia

Mohamed Esmail Karar Egypt

Chaosheng Tang China

Jaehyuk Cha South Korea

Mohammed M. Abdelsamea Egypt

Siti Noraini Sulaiman Malaysia

Syed Furqan Qadri China

Salman Qadri

347 ×1.8

AI

210 ×1.2

CVPR

299 ×1.7

RNMI

70 ×0.5

PS

122 ×1.1

NEURO

Citations per year, relative to Salman Qadri Salman Qadri (= 1×) peers Syed Furqan Qadri

Countries citing papers authored by Salman Qadri

Since Specialization

Citations

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

Fields of papers citing papers by Salman Qadri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salman Qadri

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

1.

Qadri, Syed Furqan, et al.. (2025). Chan–Vese aided fuzzy C‐means approach for whole breast and fibroglandular tissue segmentation: Preliminary application to real‐world breast MRI. Medical Physics. 52(5). 2950–2960. 3 indexed citations

2.

Aḥmad, Naz̲īr, Salman Qadri, & Nadeem Akhtar. (2024). A multimodal fusion framework to diagnose cotton leaf curl virus using machine vision techniques. Cogent Food & Agriculture. 10(1). 3 indexed citations

3.

Qadri, Salman, et al.. (2023). Protection-Enhanced Watermarking Scheme Combined With Non-Linear Systems. IEEE Access. 11. 33725–33740. 3 indexed citations

4.

Hashim, Sarfraz, et al.. (2022). Extraction of Psychological Effects of COVID‐19 Pandemic through Topic‐Level Sentiment Dynamics. Complexity. 2022(1). 4 indexed citations

5.

Ahmad, Mubashir, Syed Furqan Qadri, Salman Qadri, et al.. (2022). A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis. Computational Intelligence and Neuroscience. 2022. 1–16. 45 indexed citations

6.

Qadri, Syed Furqan, et al.. (2022). SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling for Vertebrae Segmentation. Mathematics. 10(5). 796–796. 38 indexed citations

7.

Qadri, Syed Furqan, et al.. (2021). OP-convNet: A Patch Classification-Based Framework for CT Vertebrae Segmentation. IEEE Access. 9. 158227–158240. 50 indexed citations

8.

Akram, Muhammad, Aamir Hussain, Muhammad Azam Zia, et al.. (2021). Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning. Complexity. 2021(1). 4 indexed citations

9.

Ali, Zulqurnain, et al.. (2021). Improving sentiment analysis efficacy through feature synchronization. Multimedia Tools and Applications. 80(9). 13325–13338. 4 indexed citations

10.

Ali, Aqib, Salman Qadri, Wali Khan Mashwani, et al.. (2020). Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image. Entropy. 22(5). 567–567. 59 indexed citations

11.

Naeem, Samreen, Aqib Ali, Salman Qadri, et al.. (2020). Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images. Applied Sciences. 10(9). 3134–3134. 60 indexed citations

12.

Aḥmad, Naz̲īr, et al.. (2016). Facial Expression Recognition Through Machine Learning. International journal of scientific and technology research. 5(3). 91–97. 21 indexed citations

13.

Qadri, Salman, et al.. (2015). Identification of Mango Leaves by Using Artificial Intelligence. DergiPark (Istanbul University). 9(3). 45–53. 6 indexed citations

14.

Khan, Dost Muhammad, et al.. (2015). The Impact of Employees’ Turnover at the Productivity of a Software. DergiPark (Istanbul University). 9(3). 23–27. 4 indexed citations

15.

Qadri, Salman, et al.. (2014). Implementation Issues of Agile Methodologies in Pakistan Software Industry. DergiPark (Istanbul University). 1 indexed citations

16.

Qadri, Salman, et al.. (2014). Software Quality Assurance of Medium Scale Projects by using DXPRUM Methodology. DergiPark (Istanbul University). 1 indexed citations

17.

Qadri, Salman, et al.. (2014). Software Risk Management In Virtual Team Environment. International journal of scientific and technology research. 3(12). 270–274. 1 indexed citations

18.

Bashir, Rab Nawaz, et al.. (2014). Human Computer Interaction (HCI) in Ubiquitous Computing. International journal of innovation and applied studies. 9(2). 534–540. 10 indexed citations

19.

Qadri, Salman, et al.. (2014). Issues of Implementation of CMMI in Pakistan Software Industry. International journal of innovation and applied studies. 9(2). 547–564. 4 indexed citations

20.

Qadri, Salman, et al.. (2014). Testing Automation in Agile Software Development. International journal of innovation and applied studies. 9(2). 541–546. 2 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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