Uferah Shafi

1.8k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Uferah Shafi is a scholar working on Plant Science, Ecology and Information Systems. According to data from OpenAlex, Uferah Shafi has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Ecology and 3 papers in Information Systems. Recurrent topics in Uferah Shafi's work include Smart Agriculture and AI (8 papers), Remote Sensing in Agriculture (6 papers) and Wheat and Barley Genetics and Pathology (3 papers). Uferah Shafi is often cited by papers focused on Smart Agriculture and AI (8 papers), Remote Sensing in Agriculture (6 papers) and Wheat and Barley Genetics and Pathology (3 papers). Uferah Shafi collaborates with scholars based in Pakistan, United Kingdom and United States. Uferah Shafi's co-authors include Rafia Mumtaz, Naveed Iqbal, Syed Ali Raza Zaidi, Syed Mohammad Hassan Zaidi, José García-Nieto, Syed Ali Hassan, Zahid Mahmood, Sheikh Ziauddin, Ahmad Raza Shahid and Muhammad Qaiser Saleem and has published in prestigious journals such as IEEE Access, Sensors and Electronics.

In The Last Decade

Uferah Shafi

18 papers receiving 1.1k 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.

Precision Agriculture Techniques and Practices: From Considerations to Applications

2019 440 citations Uferah Shafi, Rafia Mumtaz et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uferah Shafi Pakistan	15	554	214	182	129	126	18	1.2k
Constantinos Kittas Greece	18	844 1.5×	157 0.7×	226 1.2×	185 1.4×	47 0.4×	36	1.5k
Masayuki Hirafuji Japan	17	788 1.4×	377 1.8×	205 1.1×	146 1.1×	167 1.3×	84	1.3k
Naveed Iqbal Pakistan	10	410 0.7×	176 0.8×	96 0.5×	85 0.7×	59 0.5×	27	840
Francisco Rovira-Más Spain	18	875 1.6×	249 1.2×	177 1.0×	72 0.6×	64 0.5×	62	1.4k
Wanlin Gao China	20	576 1.0×	139 0.6×	130 0.7×	47 0.4×	146 1.2×	129	1.4k
Roque Torres-Sánchez Spain	26	865 1.6×	147 0.7×	210 1.2×	190 1.5×	73 0.6×	58	1.8k
Dhivya Elavarasan India	7	556 1.0×	155 0.7×	83 0.5×	53 0.4×	132 1.0×	8	840
Stavros Vougioukas United States	27	1.1k 2.0×	210 1.0×	174 1.0×	79 0.6×	134 1.1×	107	2.1k
Yanchao Zhang China	20	551 1.0×	313 1.5×	187 1.0×	148 1.1×	187 1.5×	69	1.5k
Syed Mohammad Hassan Zaidi Pakistan	17	246 0.4×	95 0.4×	121 0.7×	157 1.2×	90 0.7×	58	937

Countries citing papers authored by Uferah Shafi

Since Specialization

Citations

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

Fields of papers citing papers by Uferah Shafi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uferah Shafi

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

All Works

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18 of 18 papers shown

Shafi, Uferah, et al.. (2023). Embedded AI for Wheat Yellow Rust Infection Type Classification. IEEE Access. 11. 23726–23738. 41 indexed citations

Shafi, Uferah, et al.. (2023). Tackling Food Insecurity Using Remote Sensing and Machine Learning-Based Crop Yield Prediction. IEEE Access. 11. 108640–108657. 39 indexed citations

Shafi, Uferah, et al.. (2023). Assessment of Wheat Productivity Enhancement by Integrated Nutrient Management (INM) using Remote Sensing. 1–4. 2 indexed citations

Mumtaz, Rafia, et al.. (2023). Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading. Decision Analytics Journal. 8. 100305–100305. 16 indexed citations

Shafi, Uferah, et al.. (2022). Wheat rust disease detection techniques: a technical perspective. Journal of Plant Diseases and Protection. 129(3). 489–504. 35 indexed citations

Shafi, Uferah, Rafia Mumtaz, Maryam Hafeez, et al.. (2021). Wheat Yellow Rust Disease Infection Type Classification Using Texture Features. Sensors. 22(1). 146–146. 26 indexed citations

Mumtaz, Rafia, et al.. (2021). Super Resolution Generative Adversarial Network (SRGANs) for Wheat Stripe Rust Classification. Sensors. 21(23). 7903–7903. 22 indexed citations

Mumtaz, Rafia, Syed Mohammad Hassan Zaidi, Muhammad Zeeshan Shakir, et al.. (2021). Internet of Things (IoT) Based Indoor Air Quality Sensing and Predictive Analytic—A COVID-19 Perspective. Electronics. 10(2). 184–184. 72 indexed citations

Iqbal, Naveed, Rafia Mumtaz, Uferah Shafi, & Syed Mohammad Hassan Zaidi. (2021). Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms. PeerJ Computer Science. 7. e536–e536. 120 indexed citations

10.

Mumtaz, Rafia, et al.. (2021). Assessing the Impact of Segmentation on Wheat Stripe Rust Disease Classification Using Computer Vision and Deep Learning. IEEE Access. 9. 164986–165004. 31 indexed citations

11.

Shafi, Uferah, Rafia Mumtaz, Naveed Iqbal, et al.. (2020). A Multi-Modal Approach for Crop Health Mapping Using Low Altitude Remote Sensing, Internet of Things (IoT) and Machine Learning. IEEE Access. 8. 112708–112724. 83 indexed citations

12.

Shafi, Uferah, Rafia Mumtaz, José García-Nieto, et al.. (2019). Precision Agriculture Techniques and Practices: From Considerations to Applications. Sensors. 19(17). 3796–3796. 440 indexed citations breakdown →

13.

Shafi, Uferah, Munam Ali Shah, Abdul Wahid, et al.. (2019). A Novel Amended Dynamic Round Robin Scheduling Algorithm for Timeshared Systems. The International Arab Journal of Information Technology. 17(1). 90–98. 27 indexed citations

14.

Shafi, Uferah, et al.. (2018). Vehicle Remote Health Monitoring and Prognostic Maintenance System. Journal of Advanced Transportation. 2018. 1–10. 76 indexed citations

15.

Shafi, Uferah, et al.. (2018). An Optimal Distributed Algorithm for Best AP Selection and Load Balancing in WiFi. 65–69. 14 indexed citations

16.

Shah, Pir Masoom, Adnan Zeb, Uferah Shafi, Syed Farhan Alam Zaidi, & Munam Ali Shah. (2018). Detection of Parkinson Disease in Brain MRI using Convolutional Neural Network. 1–6. 44 indexed citations

17.

Shafi, Uferah, et al.. (2018). Surface Water Pollution Detection using Internet of Things. 92–96. 65 indexed citations

18.

Khan, Hikmat Ullah, et al.. (2017). Modern Authentication Techniques in Smart Phones: Security and Usability Perspective. International Journal of Advanced Computer Science and Applications. 8(1). 13 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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