Waqar S. Qureshi

1.6k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Waqar S. Qureshi is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Waqar S. Qureshi has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Analytical Chemistry. Recurrent topics in Waqar S. Qureshi's work include Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (12 papers) and Remote Sensing in Agriculture (11 papers). Waqar S. Qureshi is often cited by papers focused on Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (12 papers) and Remote Sensing in Agriculture (11 papers). Waqar S. Qureshi collaborates with scholars based in Pakistan, Ireland and Saudi Arabia. Waqar S. Qureshi's co-authors include Mohsin Islam Tiwana, Umar Shahbaz Khan, Eisa Alanazi, Matthew N. Dailey, Mahmood Akhtar, Nisar Ahmed, Gulshan Saleem, Nasir Rashid, Javaid Iqbal and Ayesha Zeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Waqar S. Qureshi

44 papers receiving 1.0k 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.

Computer vision in smart agriculture and precision farming: Techniques and applications

2024 59 citations Arslan Munir, Waqar S. Qureshi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Waqar S. Qureshi Pakistan	20	511	258	175	157	156	49	1.1k
Dong Chen China	24	719 1.4×	133 0.5×	100 0.6×	157 1.0×	111 0.7×	86	2.6k
Wanlin Gao China	20	576 1.1×	146 0.6×	78 0.4×	139 0.9×	222 1.4×	129	1.4k
Amin Nasiri Iran	15	440 0.9×	274 1.1×	158 0.9×	68 0.4×	117 0.8×	25	1.1k
Fuzeng Yang China	17	606 1.2×	237 0.9×	108 0.6×	103 0.7×	191 1.2×	50	1.1k
Muhammad Tahir Khan Pakistan	20	608 1.2×	84 0.3×	108 0.6×	126 0.8×	102 0.7×	93	1.5k
Liang Gong China	20	1.0k 2.0×	296 1.1×	171 1.0×	173 1.1×	200 1.3×	96	2.0k
Ronnie Concepcion Philippines	22	645 1.3×	132 0.5×	134 0.8×	65 0.4×	73 0.5×	237	1.8k
Jifeng Shen China	18	273 0.5×	266 1.0×	127 0.7×	68 0.4×	255 1.6×	56	935
Guoxiong Zhou China	23	950 1.9×	399 1.5×	70 0.4×	190 1.2×	310 2.0×	83	1.6k

Countries citing papers authored by Waqar S. Qureshi

Since Specialization

Citations

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

Fields of papers citing papers by Waqar S. Qureshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Waqar S. Qureshi. 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 Waqar S. Qureshi. The network helps show where Waqar S. Qureshi may publish in the future.

Co-authorship network of co-authors of Waqar S. Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Waqar S. Qureshi. A scholar is included among the top collaborators of Waqar S. Qureshi 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 Waqar S. Qureshi. Waqar S. Qureshi 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

Hussain, Altaf, et al.. (2025). An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches. IEEE Access. 13. 116869–116886.

Qureshi, Waqar S., et al.. (2024). Aerial imagery-based tobacco plant counting framework for efficient crop emergence estimation. Computers and Electronics in Agriculture. 217. 108557–108557. 16 indexed citations

Qureshi, Waqar S., et al.. (2024). Design and Development of an Unmanned Orchard Spraying Robot with Two Degrees of Freedom. 1–7.

Mirza, Alina, et al.. (2023). New FxLMAT-Based Algorithms for Active Control of Impulsive Noise. IEEE Access. 11. 81279–81288. 6 indexed citations

Zeb, Ayesha, Waqar S. Qureshi, Abdul Ghafoor, et al.. (2023). Towards sweetness classification of orange cultivars using short-wave NIR spectroscopy. Scientific Reports. 13(1). 325–325. 16 indexed citations

Tiwana, Mohsin Islam, et al.. (2022). 3D Printable Thermoplastic Polyurethane Energy Efficient Passive Foot. 3D Printing and Additive Manufacturing. 9(6). 557–565. 4 indexed citations

Tayyab, Muhammad, et al.. (2022). Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation. IEEE Access. 10. 123177–123189. 3 indexed citations

Zeb, Ayesha, et al.. (2022). Learning Fruit Class from Short Wave Near Infrared Spectral Features, an AI Approach Towards Determining Fruit Type. Arrow - TU Dublin (Technological University Dublin). 193–196. 3 indexed citations

Tiwana, Mohsin Islam, et al.. (2022). Human gait recognition subject to different covariate factors in a multi-view environment. Results in Engineering. 15. 100556–100556. 30 indexed citations

10.

Qureshi, Waqar S., et al.. (2022). An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment. Sensors. 22(22). 9019–9019. 20 indexed citations

11.

Khan, Umar Shahbaz, et al.. (2022). Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery. SHILAP Revista de lepidopterología. 4. 100142–100142. 28 indexed citations

12.

Khan, Umar Shahbaz, Waqar S. Qureshi, Mohsin Islam Tiwana, et al.. (2021). A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop. IEEE Access. 9. 121698–121715. 34 indexed citations

13.

Tiwana, Mohsin Islam, Umar Shahbaz Khan, Waqar S. Qureshi, et al.. (2021). Advancements, Trends and Future Prospects of Lower Limb Prosthesis. IEEE Access. 9. 85956–85977. 46 indexed citations

14.

Zeb, Ayesha, Waqar S. Qureshi, Aman Ullah Malik, et al.. (2021). Mango maturity classification instead of maturity index estimation: A new approach towards handheld NIR spectroscopy. Infrared Physics & Technology. 115. 103639–103639. 28 indexed citations

15.

Nazir, Aamer, et al.. (2020). The rise of 3D Printing entangled with smart computer aided design during COVID-19 era. Journal of Manufacturing Systems. 60. 774–786. 66 indexed citations

16.

Tiwana, Mohsin Islam, et al.. (2020). Towards Facial Recognition Problem in COVID-19 Pandemic. 210–214. 40 indexed citations

17.

Nazir, Aamer, et al.. (2019). Accelerating Research and Development Using 3D Printing and Its Potential Opportunities in Pakistan: A Review. 1–8. 2 indexed citations

18.

Khan, Umar Shahbaz, et al.. (2019). A Review of Application of Deep Learning for Weeds and Crops Classification in Agriculture. 1–6. 25 indexed citations

19.

Saleem, Gulshan, Mahmood Akhtar, Nisar Ahmed, & Waqar S. Qureshi. (2019). Automated analysis of visual leaf shape features for plant classification. Computers and Electronics in Agriculture. 157. 270–280. 113 indexed citations

20.

Qureshi, Waqar S., et al.. (2009). Object Tracking Using Mach Filter And Optical Flow In Cluttered Scenes And Variable Lighting Conditions. Zenodo (CERN European Organization for Nuclear Research). 3(12). 2340–2343. 4 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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