Mohib Ullah

2.2k total citations
105 papers, 1.2k citations indexed

About

Mohib Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mohib Ullah has authored 105 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 10 papers in Biomedical Engineering. Recurrent topics in Mohib Ullah's work include Video Surveillance and Tracking Methods (22 papers), Human Pose and Action Recognition (14 papers) and Anomaly Detection Techniques and Applications (14 papers). Mohib Ullah is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Human Pose and Action Recognition (14 papers) and Anomaly Detection Techniques and Applications (14 papers). Mohib Ullah collaborates with scholars based in Norway, Pakistan and Saudi Arabia. Mohib Ullah's co-authors include Faouzi Alaya Cheikh, Habib Ullah, Sultan Daud Khan, Muhammad Uzair, Muhammad Mudassar Yamin, Basel Katt, Abdulrahman Alreshidi, Muhammad Sajjad, Ahmed Mohammed and Khan Muhammad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohib Ullah

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohib Ullah Norway 19 566 415 155 129 107 105 1.2k
Habib Ullah Pakistan 16 526 0.9× 336 0.8× 129 0.8× 65 0.5× 92 0.9× 96 1.1k
Mohammed Zakariah Saudi Arabia 22 406 0.7× 546 1.3× 188 1.2× 166 1.3× 76 0.7× 93 1.6k
Enver Sangineto Italy 19 732 1.3× 502 1.2× 82 0.5× 140 1.1× 59 0.6× 53 1.2k
Kia Dashtipour United Kingdom 22 309 0.5× 662 1.6× 62 0.4× 57 0.4× 97 0.9× 68 1.5k
Ahmed Sedik Egypt 16 404 0.7× 292 0.7× 70 0.5× 70 0.5× 85 0.8× 56 1.1k
Jia Guo China 13 1.0k 1.8× 254 0.6× 157 1.0× 126 1.0× 55 0.5× 56 1.5k
Enamul Hoque Canada 24 653 1.2× 528 1.3× 229 1.5× 70 0.5× 40 0.4× 77 1.5k
Abdelmalik Taleb‐Ahmed France 18 776 1.4× 360 0.9× 72 0.5× 71 0.6× 42 0.4× 114 1.4k
Namita Mittal India 19 342 0.6× 761 1.8× 91 0.6× 122 0.9× 28 0.3× 93 1.4k
Vineeth N Balasubramanian India 23 870 1.5× 818 2.0× 42 0.3× 56 0.4× 152 1.4× 103 1.7k

Countries citing papers authored by Mohib Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Mohib Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohib Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Mohib Ullah. A scholar is included among the top collaborators of Mohib Ullah 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 Mohib Ullah. Mohib Ullah 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.
Ullah, Mohib, Jasgurpreet Singh Chohan, Prakash Kanjariya, et al.. (2025). Construction of Hierarchical Star Like Morphology of NiO Nanosheets Having Superb Peroxidase Mimetic Properties for Effective Colorimetric H2O2 Sensing. Journal of Fluorescence. 35(12). 13041–13054.
2.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohamed Abomhara, & Mohib Ullah. (2024). Self-supervised hate speech detection in Norwegian texts with lexical and semantic augmentations. Expert Systems with Applications. 264. 125843–125843. 7 indexed citations
3.
Ullah, Mohib, et al.. (2024). EfficientPolypSeg: Efficient Polyp Segmentation in colonoscopy images using EfficientNet-B5 with dilated blocks and attention mechanisms. Biomedical Signal Processing and Control. 93. 106210–106210. 4 indexed citations
4.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, & Mohib Ullah. (2024). Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers. Complex & Intelligent Systems. 11(1). 3 indexed citations
5.
Fahad, Muhammad, et al.. (2024). Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI. Biomedical Signal Processing and Control. 102. 107260–107260. 3 indexed citations
6.
Hashmi, Ehtesham, et al.. (2024). Enhancing Misogyny Detection in Bilingual Texts Using FastText and Explainable AI. 1–6. 7 indexed citations
7.
Hashmi, Ehtesham, Sule Yildirim Yayilgan, Ibrahim A. Hameed, et al.. (2024). Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration. IEEE Access. 12. 121507–121537. 9 indexed citations
8.
Ullah, Mohib, et al.. (2024). Highly sensitive and selective colorimetric sensing of nitrite based on largest surface area ZIF-67 nanostructure with enhanced peroxidase catalytic activities. Journal of Materials Science Materials in Electronics. 35(24). 3 indexed citations
9.
Imran, Ali Shariq, et al.. (2024). Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset. Computers in Biology and Medicine. 181. 109044–109044.
10.
Ullah, Mohib, Ali Shariq Imran, Ghulam Mujtaba, et al.. (2024). A Self-Supervised Diffusion Framework For Facial Emotion Recognition. 465–471.
11.
Saeed, M. A., Mohib Ullah, Sultan Daud Khan, Faouzi Alaya Cheikh, & Muhammad Sajjad. (2023). ViT based Covid-19 detection and classification from CXR images. Electronic Imaging. 35(1). 407. 4 indexed citations
12.
Khan, Habib, Mohib Ullah, Fadi Al Machot, Faouzi Alaya Cheikh, & Muhammad Sajjad. (2023). Deep learning based speech emotion recognition for Parkinson patient. Electronic Imaging. 35(9). 298. 18 indexed citations
13.
Munsif, Muhammad, et al.. (2022). A Lightweight Convolution Neural Network for Automatic Disasters Recognition. 1–6. 12 indexed citations
14.
Amin, Sareer Ul, Mohib Ullah, Muhammad Sajjad, et al.. (2022). EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos. Mathematics. 10(9). 1555–1555. 57 indexed citations
15.
Yamin, Muhammad Mudassar, Mohib Ullah, Habib Ullah, et al.. (2022). Mapping Tools for Open Source Intelligence with Cyber Kill Chain for Adversarial Aware Security. Mathematics. 10(12). 2054–2054. 6 indexed citations
16.
17.
Ullah, Mohib, et al.. (2020). Comparison Of Two Intra-Canal Medicaments On The Incidence Of Post-Operative Endodontic Pain.. PubMed. 32(3). 299–303. 5 indexed citations
18.
Zaibunnisa, Zaibunnisa, et al.. (2020). Quantitative groundwater assessment of Pashin, Balochistan for sustainable water management.. The Pakistan Journal of Agricultural Sciences. 57(2). 1 indexed citations
19.
Ullah, Mohib, et al.. (2011). Septoplasty Versus Submucous Resection in young Adults. Journal of Postgraduate Medical Institute. 13(1).
20.
Ullah, Mohib, et al.. (2001). Surgical Management of otitis media With Effusion; A prospective study of 120 patients.. Journal of Postgraduate Medical Institute. 15(2).

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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