Riasat Khan

1.4k total citations · 1 hit paper
71 papers, 723 citations indexed

About

Riasat Khan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Riasat Khan has authored 71 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Riasat Khan's work include Hand Gesture Recognition Systems (6 papers), Smart Agriculture and AI (5 papers) and Vehicle License Plate Recognition (4 papers). Riasat Khan is often cited by papers focused on Hand Gesture Recognition Systems (6 papers), Smart Agriculture and AI (5 papers) and Vehicle License Plate Recognition (4 papers). Riasat Khan collaborates with scholars based in Bangladesh, United States and Malaysia. Riasat Khan's co-authors include Tahsin Rahman, Md. Habibullah, Michael Kah Ong Goh, Sifat Momen, Nusrat Sharmin Islam, Anika Tabassum, Shovasis Kumar Biswas, Md. Ahasan Atick Faisal, Rezwanul Haque and Md. Nazrul Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Riasat Khan

59 papers receiving 680 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.

Diabetes prediction using machine learning and explainable AI techniques

2022 130 citations Riasat Khan et al. profile →

Peers

Riasat Khan

AI

CVPR

HIM

RNMI

HI

Sakshi Arora India

Mahmoud M. Saafan Egypt

Filbert H. Juwono Malaysia

Rahul Chauhan India

Kamred Udham Singh India

Kemal Akyol Türkiye

Yung‐Hui Li Taiwan

Majid A. Al-Taee United Kingdom

Lakhan Dev Sharma India

Mounîm A. El‐Yacoubi France

Sakshi Arora India

Riasat Khan

146 ×0.8

AI

251 ×1.5

CVPR

58 ×0.4

HIM

122 ×1.1

RNMI

62 ×0.8

HI

Citations per year, relative to Riasat Khan Riasat Khan (= 1×) peers Sakshi Arora

Countries citing papers authored by Riasat Khan

Since Specialization

Citations

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

Fields of papers citing papers by Riasat Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riasat Khan

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

Islam, Mohammad Aminul, et al.. (2025). An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture. Smart Agricultural Technology. 12. 101263–101263. 1 indexed citations

2.

Khan, Riasat, et al.. (2025). Fusion of Image Filtering and Knowledge-Distilled YOLO Models for Root Canal Failure Diagnosis. IEEE Access. 13. 66557–66573.

3.

Khan, Riasat, et al.. (2025). Graph-enhanced deep learning for diabetic retinopathy diagnosis: A quality-aware and uncertainty-driven approach. PLoS Computational Biology. 21(12). e1013745–e1013745.

4.

Khan, Riasat, et al.. (2025). ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach. SHILAP Revista de lepidopterología. 7. 100173–100173.

5.

Khan, Riasat, et al.. (2024). Non-small cell lung cancer detection through knowledge distillation approach with teaching assistant. PLoS ONE. 19(11). e0306441–e0306441. 2 indexed citations

6.

Goh, Michael Kah Ong, et al.. (2024). Real-Time Fire Detection: Integrating Lightweight Deep Learning Models on Drones with Edge Computing. Drones. 8(9). 483–483. 24 indexed citations

7.

Khan, Riasat, et al.. (2024). Deep-Learning-Based Real-Time Visual Pollution Detection in Urban and Textile Environments. SHILAP Revista de lepidopterología. 6(1). 5–5. 4 indexed citations

8.

Khan, Riasat, et al.. (2024). SAD: Self-assessment of depression for Bangladeshi university students using machine learning and NLP. Array. 25. 100372–100372. 2 indexed citations

9.

Khan, Riasat, et al.. (2024). Artificial Intelligence-Based Early Detection of Dengue Using CBC Data. IEEE Access. 12. 112355–112367. 9 indexed citations

10.

Khan, Riasat, et al.. (2024). Multimodal Deep Learning for Violence Detection: VGGish and MobileViT Integration With Knowledge Distillation on Jetson Nano. IEEE Open Journal of the Communications Society. 6. 2907–2925. 1 indexed citations

11.

Khan, Riasat, et al.. (2024). Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies. PLoS Computational Biology. 20(12). e1012654–e1012654.

12.

Khan, Riasat, et al.. (2024). Analysis of Machine Learning Models for Wearable Devices Centric Human Activity Recognition. 439–444. 1 indexed citations

13.

Khan, Riasat, et al.. (2024). Skin cancer detection using lightweight model souping and ensembling knowledge distillation for memory-constrained devices. Intelligence-Based Medicine. 10. 100176–100176. 1 indexed citations

14.

Khan, Riasat, et al.. (2024). Earthquake Magnitude Prediction Using Machine Learning Techniques. 1–5. 1 indexed citations

15.

Khan, Riasat, et al.. (2023). Deep learning based object detection and surrounding environment description for visually impaired people. Heliyon. 9(6). e16924–e16924. 32 indexed citations

16.

Khan, Riasat, et al.. (2022). Masters and Doctor of Philosophy admission prediction of Bangladeshi students into different classes of universities. IAES International Journal of Artificial Intelligence. 11(4). 1545–1545. 6 indexed citations

17.

Khan, Riasat, et al.. (2022). Computer vision-based approach to detect fatigue driving and face mask for edge computing device. Heliyon. 8(10). e11204–e11204. 17 indexed citations

18.

Habibullah, Md., et al.. (2022). Deep Learning Based Speaker Recognition System with CNN and LSTM Techniques. 1–6. 11 indexed citations

19.

Biswas, Shovasis Kumar, et al.. (2021). Design of Highly Nonlinear Asymmetric Bored Core Hexagonal Photonic Crystal Fiber with Large Negative Dispersion. 1–6. 3 indexed citations

20.

Khan, Riasat, et al.. (2020). Real Time Bangla Number Plate Recognition using Computer Vision and Convolutional Neural Network. 1–6. 22 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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