Muhammad Hassan Khan

981 total citations
56 papers, 647 citations indexed

About

Muhammad Hassan Khan is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Muhammad Hassan Khan has authored 56 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 19 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Muhammad Hassan Khan's work include Gait Recognition and Analysis (17 papers), Human Pose and Action Recognition (17 papers) and Context-Aware Activity Recognition Systems (11 papers). Muhammad Hassan Khan is often cited by papers focused on Gait Recognition and Analysis (17 papers), Human Pose and Action Recognition (17 papers) and Context-Aware Activity Recognition Systems (11 papers). Muhammad Hassan Khan collaborates with scholars based in Pakistan, Germany and United Kingdom. Muhammad Hassan Khan's co-authors include Muhammad Shahid Farid, Marcin Grzegorzek, Muhammad Adeel Nisar, Kimiaki Shirahama, Joe E. Brooks, Rashid Mahmood, Sawaid Abbas, Ishtiaq Hussain, Atta Abbas Naqvi and Jaroslav Frnda and has published in prestigious journals such as Circulation, Expert Systems with Applications and IEEE Access.

In The Last Decade

Muhammad Hassan Khan

51 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Hassan Khan Pakistan 16 351 213 108 93 65 56 647
Muhammad Shahid Farid Pakistan 19 595 1.7× 211 1.0× 122 1.1× 112 1.2× 57 0.9× 62 918
Younhyun Jung South Korea 13 262 0.7× 44 0.2× 92 0.9× 119 1.3× 32 0.5× 46 529
Jayanta Mukhopadhyay India 12 226 0.6× 118 0.6× 78 0.7× 22 0.2× 47 0.7× 101 532
Ernesto Moya-Albor Mexico 11 430 1.2× 322 1.5× 132 1.2× 40 0.4× 13 0.2× 60 657
Tonmoy Ghosh United States 14 86 0.2× 54 0.3× 61 0.6× 45 0.5× 13 0.2× 46 507
Mrinal Kanti Bhowmik India 16 238 0.7× 50 0.2× 96 0.9× 308 3.3× 4 0.1× 108 836
Jianing Qiu United Kingdom 13 135 0.4× 112 0.5× 115 1.1× 67 0.7× 10 0.2× 37 647
Saisakul Chernbumroong United Kingdom 10 380 1.1× 133 0.6× 102 0.9× 21 0.2× 31 0.5× 21 628
Yingjie Cai China 13 192 0.5× 49 0.2× 67 0.6× 19 0.2× 4 0.1× 40 650
Dimitrios Tsaopoulos Greece 18 77 0.2× 334 1.6× 65 0.6× 82 0.9× 14 0.2× 58 950

Countries citing papers authored by Muhammad Hassan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Hassan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Hassan Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Hassan Khan. A scholar is included among the top collaborators of Muhammad Hassan 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 Muhammad Hassan Khan. Muhammad Hassan Khan 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.
Abbas, Arzlan, Faisal Hafeez, Ayesha Iftikhar, et al.. (2025). Chlorantraniliprole Resistance and Associated Fitness Costs in Fall Armyworm (Spodoptera frugiperda): Implications for Resistance Management. Insects. 16(12). 1232–1232.
2.
3.
Khan, Muhammad Hassan, Muhammad Sufyan Javed, & Muhammad Shahid Farid. (2025). Deep-learning-based ConvLSTM and LRCN networks for human activity recognition. Journal of Visual Communication and Image Representation. 110. 104469–104469. 1 indexed citations
4.
Khan, Muhammad Hassan, et al.. (2024). Encoding human activities using multimodal wearable sensory data. Expert Systems with Applications. 261. 125564–125564. 5 indexed citations
5.
Frnda, Jaroslav, et al.. (2024). Dataset of cattle biometrics through muzzle images. Data in Brief. 53. 110125–110125. 8 indexed citations
6.
Khan, Muhammad Hassan, et al.. (2024). Identification of Optimal Data Augmentation Techniques for Multimodal Time-Series Sensory Data: A Framework. Information. 15(6). 343–343. 7 indexed citations
7.
Khan, Muhammad Hassan, et al.. (2023). A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data. Sensors. 24(1). 75–75. 8 indexed citations
8.
Nichol, Janet E., et al.. (2023). A Comparison of Machine Learning Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa. ISPRS International Journal of Geo-Information. 12(4). 142–142. 11 indexed citations
9.
Khan, Majid, et al.. (2023). Comparison of C - reactive protein and erythrocyte sedimentation rate biomarkers for identification of immunological disorders in Tertiary Care Hospital. International Journal of Health Sciences. 7(S1). 2985–2992. 2 indexed citations
10.
Khan, Muhammad Hassan, Muhammad Shahid Farid, & Marcin Grzegorzek. (2022). A comprehensive study on codebook-based feature fusion for gait recognition. Information Fusion. 92. 216–230. 17 indexed citations
11.
Farid, Muhammad Shahid, et al.. (2021). Exploiting Superpixels for Multi-Focus Image Fusion. Entropy. 23(2). 247–247. 7 indexed citations
12.
Khan, Muhammad Hassan, et al.. (2021). A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data. Sensors. 21(7). 2368–2368. 26 indexed citations
13.
Khan, Muhammad Hassan, Muhammad Shahid Farid, & Marcin Grzegorzek. (2020). A non-linear view transformations model for cross-view gait recognition. Neurocomputing. 402. 100–111. 35 indexed citations
14.
Farid, Muhammad Shahid, et al.. (2020). Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library. Journal of Imaging. 6(7). 60–60. 15 indexed citations
15.
Farid, Muhammad Shahid, et al.. (2020). X-ray image analysis for automated knee osteoarthritis detection. Signal Image and Video Processing. 14(6). 1079–1087. 45 indexed citations
16.
Farid, Muhammad Shahid, et al.. (2020). Lung Nodule Detection in CT Images Using Statistical and Shape-Based Features. Journal of Imaging. 6(2). 6–6. 44 indexed citations
17.
Khan, Muhammad Hassan, et al.. (2018). A computer vision-based system for monitoring Vojta therapy. International Journal of Medical Informatics. 113. 85–95. 24 indexed citations
18.
Khan, Muhammad Hassan, et al.. (2017). Food adulteration: Pakistan on the verge of nutritional crisis. 1(1). 1–3. 2 indexed citations
19.
Khan, Muhammad Hassan, Muhammad Shahid Farid, & Marcin Grzegorzek. (2017). Person identification using spatiotemporal motion characteristics. 1. 166–170. 14 indexed citations
20.
Khan, Muhammad Hassan, et al.. (2014). Perceptions of patients’ care givers regarding clinical pharmacists and their practice in a developing countryPERCEPTIONS OF PATIENTS’ CARE GIVERS REGARDING CLINICAL PHARMACISTS AND THEIR PRACTICE IN A DEVELOPING COUNTRY. International Journal of Pharmacy and Pharmaceutical Sciences. 7(2). 168–173. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Muhammad Shahid Farid Breakdown of academic impact, for papers by Younhyun Jung Breakdown of academic impact, for papers by Jayanta Mukhopadhyay Breakdown of academic impact, for papers by Ernesto Moya-Albor Breakdown of academic impact, for papers by Tonmoy Ghosh Breakdown of academic impact, for papers by Mrinal Kanti Bhowmik Breakdown of academic impact, for papers by Jianing Qiu Breakdown of academic impact, for papers by Saisakul Chernbumroong Breakdown of academic impact, for papers by Yingjie Cai Breakdown of academic impact, for papers by Dimitrios Tsaopoulos
Rankless by CCL
2026