Abdul Bais

1.4k total citations
84 papers, 883 citations indexed

About

Abdul Bais is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Abdul Bais has authored 84 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 18 papers in Electrical and Electronic Engineering and 18 papers in Plant Science. Recurrent topics in Abdul Bais's work include Smart Agriculture and AI (15 papers), Robotics and Sensor-Based Localization (14 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Abdul Bais is often cited by papers focused on Smart Agriculture and AI (15 papers), Robotics and Sensor-Based Localization (14 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Abdul Bais collaborates with scholars based in Canada, Pakistan and Austria. Abdul Bais's co-authors include Muhammad Asad, Allan Hanbury, Rehanullah Khan, Julian Stöttinger, Lei Zhang, Robert Sablatnig, Yasser Morgan, Nisar Ali, Sajid Saleem and Amina Hussein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Access.

In The Last Decade

Abdul Bais

80 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdul Bais Canada 16 253 250 104 103 100 84 883
Henry Medeiros United States 14 243 1.0× 347 1.4× 100 1.0× 99 1.0× 85 0.8× 44 817
Jiangming Kan China 16 266 1.1× 135 0.5× 94 0.9× 57 0.6× 133 1.3× 107 1.0k
Wenzhu Yang China 14 248 1.0× 190 0.8× 95 0.9× 87 0.8× 38 0.4× 47 707
Kamarul Hawari Ghazali Malaysia 16 268 1.1× 103 0.4× 106 1.0× 57 0.6× 144 1.4× 101 892
Miguel Torres‐Torriti Chile 19 282 1.1× 273 1.1× 52 0.5× 103 1.0× 84 0.8× 79 969
Xijian Fan China 16 287 1.1× 224 0.9× 89 0.9× 114 1.1× 32 0.3× 39 831
Alberto Pretto Italy 13 320 1.3× 286 1.1× 66 0.6× 113 1.1× 114 1.1× 35 856
Ahmed Kechida Algeria 9 239 0.9× 203 0.8× 46 0.4× 136 1.3× 35 0.3× 17 666
Vittorio Mazzia Italy 9 263 1.0× 181 0.7× 119 1.1× 81 0.8× 73 0.7× 15 581

Countries citing papers authored by Abdul Bais

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Bais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdul Bais

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

All Works

20 of 20 papers shown
1.
Ali, Nisar, et al.. (2025). Advancing Fusarium Head Blight Detection in Wheat Crop: A Review and Future Directions to Sustainable Agriculture. IEEE Transactions on Consumer Electronics. 71(3). 7473–7491.
2.
Hussein, Amina, et al.. (2024). Unsupervised domain adaptation with self-training for weed segmentation. Intelligent Systems with Applications. 25. 200468–200468. 1 indexed citations
3.
Mohammed, Ahmed, Nisar Ali, Abdul Bais, et al.. (2024). From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17806–17819. 2 indexed citations
4.
Beier, N. F., et al.. (2024). Adaptive Learning for Soil Classification in Laser-Induced Breakdown Spectroscopy Streaming. IEEE Transactions on Artificial Intelligence. 5(7). 3714–3727. 3 indexed citations
5.
Bais, Abdul, et al.. (2024). A Novel Computer Vision System for Efficient Flea Beetle Monitoring in Canola Crop. 2(2). 483–496. 1 indexed citations
6.
Bais, Abdul, et al.. (2024). Quantifying consistency of crop establishment using a lightweight U-Net deep learning architecture and image processing techniques. Computers and Electronics in Agriculture. 217. 108617–108617. 10 indexed citations
7.
Asad, Muhammad, et al.. (2023). Soil Surface Texture Classification Using RGB Images Acquired Under Uncontrolled Field Conditions. IEEE Access. 11. 67140–67155. 13 indexed citations
8.
Bais, Abdul, et al.. (2023). Domain Adaptation Using Class-Balanced Self-Paced Learning for Soil Classification With LIBS. IEEE Transactions on Plasma Science. 51(9). 2742–2755. 2 indexed citations
9.
Bais, Abdul, et al.. (2023). Optimization of Patient Specific Stimulus for Deep Brain Stimulation Using Spatially Distributed Neural Sources. IEEE Transactions on Artificial Intelligence. 5(2). 786–800. 1 indexed citations
10.
11.
Bais, Abdul, et al.. (2023). Pseudo-shot Learning for Soil Classification With Laser-Induced Breakdown Spectroscopy. IEEE Transactions on Artificial Intelligence. 5(2). 709–723. 1 indexed citations
12.
Asad, Muhammad, et al.. (2021). End to End Segmentation of Canola Field Images Using Dilated U-Net. IEEE Access. 9. 59741–59753. 19 indexed citations
13.
Bais, Abdul, et al.. (2021). DeepVeg: Deep Learning Model for Segmentation of Weed, Canola, and Canola Flea Beetle Damage. IEEE Access. 9. 119367–119380. 25 indexed citations
14.
Saleem, Sajid & Abdul Bais. (2020). Visible Spectrum and Infra-Red Image Matching: A New Method. Applied Sciences. 10(3). 1162–1162. 5 indexed citations
15.
Asad, Muhammad & Abdul Bais. (2020). Crop and Weed Leaf Area Index Mapping Using Multi-Source Remote and Proximal Sensing. IEEE Access. 8. 138179–138190. 15 indexed citations
16.
Bais, Abdul, et al.. (2020). Canopy Height Estimation at Landsat Resolution Using Convolutional Neural Networks. SHILAP Revista de lepidopterología. 2(1). 23–36. 17 indexed citations
17.
Morgan, Yasser, et al.. (2019). Real-Time Vehicle Make and Model Recognition System. Machine Learning and Knowledge Extraction. 1(2). 611–629. 28 indexed citations
18.
Subhan, Fazli, et al.. (2019). Feature points-based image registration between satellite imagery and aerial images of agricultural land. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 28(3). 1458–1473. 4 indexed citations
19.
Saleem, Sajid, Abdul Bais, & Robert Sablatnig. (2016). Towards feature points based image matching between satellite imagery and aerial photographs of agriculture land. Computers and Electronics in Agriculture. 126. 12–20. 14 indexed citations
20.
Wu, Xiaolin, Abdul Bais, & Nima Sarshar. (2016). Quantization for Robust Distributed Coding. International Journal of Distributed Sensor Networks. 12(5). 6308410–6308410. 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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