Ghazanfar Latif

2.1k total citations · 1 hit paper
83 papers, 1.3k citations indexed

About

Ghazanfar Latif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Ghazanfar Latif has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 18 papers in Neurology. Recurrent topics in Ghazanfar Latif's work include Brain Tumor Detection and Classification (18 papers), Digital Imaging for Blood Diseases (9 papers) and Advanced Neural Network Applications (9 papers). Ghazanfar Latif is often cited by papers focused on Brain Tumor Detection and Classification (18 papers), Digital Imaging for Blood Diseases (9 papers) and Advanced Neural Network Applications (9 papers). Ghazanfar Latif collaborates with scholars based in Saudi Arabia, United States and Malaysia. Ghazanfar Latif's co-authors include Jaafar Alghazo, D. N. F. Awang Iskandar, Nazeeruddin Mohammad, Sherif E. Abdelhamid, Abul Bashar, Ghassen Ben Brahim, M. Arfan Jaffar, Anwar M. Mirza, Fadi N. Sibai and Majid Ali Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Ghazanfar Latif

77 papers receiving 1.3k citations

Hit Papers

Deep Learning Utilization in Agriculture: Detection of Ri... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model
    2022 136 citations Ghazanfar Latif, Sherif E. Abdelhamid et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghazanfar Latif Saudi Arabia 20 504 304 285 273 184 83 1.3k
Jaafar Alghazo Saudi Arabia 18 282 0.6× 182 0.6× 133 0.5× 107 0.4× 165 0.9× 63 994
Nanik Suciati Indonesia 20 669 1.3× 427 1.4× 157 0.6× 111 0.4× 82 0.4× 196 1.4k
Jeongmin Park South Korea 20 694 1.4× 472 1.6× 218 0.8× 67 0.2× 82 0.4× 105 1.4k
Hamid Tairi Morocco 20 721 1.4× 393 1.3× 172 0.6× 165 0.6× 45 0.2× 170 1.4k
Saeed Ali Bahaj Saudi Arabia 18 169 0.3× 486 1.6× 185 0.6× 65 0.2× 52 0.3× 54 1.2k
Siti Noraini Sulaiman Malaysia 15 379 0.8× 369 1.2× 137 0.5× 101 0.4× 31 0.2× 106 932
Saud S. Alotaibi Saudi Arabia 21 448 0.9× 353 1.2× 111 0.4× 44 0.2× 64 0.3× 111 1.2k
Anwer Mustafa Hilal Saudi Arabia 19 298 0.6× 451 1.5× 72 0.3× 104 0.4× 35 0.2× 150 1.3k
Akmalbek Abdusalomov South Korea 25 831 1.6× 308 1.0× 125 0.4× 277 1.0× 33 0.2× 77 1.7k
Shaveta Dargan India 8 406 0.8× 306 1.0× 70 0.2× 20 0.1× 88 0.5× 10 1.2k

Countries citing papers authored by Ghazanfar Latif

Since Specialization
Citations

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

Fields of papers citing papers by Ghazanfar Latif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghazanfar Latif

This figure shows the co-authorship network connecting the top 25 collaborators of Ghazanfar Latif. A scholar is included among the top collaborators of Ghazanfar Latif 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 Ghazanfar Latif. Ghazanfar Latif 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.
Jaffar, Arfan, et al.. (2025). Enhanced Multi-Class Breast Cancer Classification from Whole-Slide Histopathology Images Using a Proposed Deep Learning Model. Diagnostics. 15(5). 582–582. 1 indexed citations
2.
Khan, Majid Ali, et al.. (2025). MEDCnet : A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. International Journal of Imaging Systems and Technology. 35(2). 3 indexed citations
3.
Hussain, Akhtar, et al.. (2024). Flood detection using deep learning methods from visual images. AIP conference proceedings. 3063. 30004–30004. 4 indexed citations
4.
Latif, Ghazanfar, et al.. (2024). Combating medical image tampering using deep transfer learning. AIP conference proceedings. 3063. 40002–40002. 2 indexed citations
5.
Latif, Ghazanfar, et al.. (2024). Date Fruit Classification Using Transfer Learning Techniques. 1–7. 2 indexed citations
6.
Latif, Ghazanfar, Nazeeruddin Mohammad, & Jaafar Alghazo. (2023). Plant Seedling Classification Using Preprocessed Deep CNN. 1 indexed citations
7.
Latif, Ghazanfar, Nazeeruddin Mohammad, & Jaafar Alghazo. (2023). DeepFruit: A dataset of fruit images for fruit classification and calories calculation. Data in Brief. 50. 109524–109524. 8 indexed citations
8.
Latif, Ghazanfar, et al.. (2023). Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System. Applied System Innovation. 6(5). 91–91. 11 indexed citations
9.
Khan, Majid Ali, Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar, & Ghazanfar Latif. (2022). Writer verification of partially damaged handwritten Arabic documents based on individual character shapes. PeerJ Computer Science. 8. e955–e955. 2 indexed citations
10.
Latif, Ghazanfar, Abul Bashar, D. N. F. Awang Iskandar, et al.. (2022). Multiclass tumor identification using combined texture and statistical features. Medical & Biological Engineering & Computing. 61(1). 45–59. 5 indexed citations
11.
Latif, Ghazanfar, et al.. (2022). Identifying "At-Risk" Students: An AI-based Prediction Approach. International Journal of Computing and Digital Systems. 11(1). 1051–1059. 1 indexed citations
12.
Iskandar, D. N. F. Awang, et al.. (2022). Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features. Diagnostics. 12(7). 1607–1607. 82 indexed citations
13.
Latif, Ghazanfar, et al.. (2022). Seismic Structures Classification Using Novel Features from Seismic Images. 9. 96–102. 1 indexed citations
14.
Latif, Ghazanfar, et al.. (2020). Scheduling and resources allocation in network traffic using multiobjective, multiuser joint traffic engineering. Wireless Networks. 26(8). 5951–5963. 4 indexed citations
15.
Latif, Ghazanfar, et al.. (2020). An Automatic Arabic Sign Language Recognition System based on Deep CNN: An Assistive System for the Deaf and Hard of Hearing. International Journal of Computing and Digital Systems. 9(4). 715–724. 40 indexed citations
16.
Latif, Ghazanfar, et al.. (2019). Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 8511–8516. 1 indexed citations
17.
Latif, Ghazanfar, et al.. (2017). IoT BASED REAL-TIME VOICE ANALYSIS AND SMART MONITORING SYSTEM FOR DISABLED PEOPLE. 3(2). 4 indexed citations
18.
Latif, Ghazanfar, et al.. (2017). Multimodal Brain Tumor Segmentation using Neighboring Image Features. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 37–42. 6 indexed citations
19.
Latif, Ghazanfar, et al.. (2017). Automatic Multimodal Brain Image Classification Using MLP and 3D Glioma Tumor Reconstruction. 1–9. 13 indexed citations
20.
Latif, Ghazanfar, et al.. (2010). Classification and segmentation of brain tumor using texture analysis. International Conference on Artificial Intelligence. 147–155. 56 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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