Mohib Ullah

686 total citations
47 papers, 374 citations indexed

About

Mohib Ullah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Mohib Ullah has authored 47 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Sociology and Political Science. Recurrent topics in Mohib Ullah's work include Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Mohib Ullah is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Privacy, Security, and Data Protection (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Mohib Ullah collaborates with scholars based in Pakistan, Saudi Arabia and Norway. Mohib Ullah's co-authors include Rafiullah Khan, Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam, M. Irfan Uddin, Nicola Conci, Habib Ullah, Muhammad Arshad Islam, Atif Khan and Abdul Waheed and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and Computers in Biology and Medicine.

In The Last Decade

Mohib Ullah

46 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohib Ullah Pakistan	11	175	107	52	37	36	47	374
Mohammad Shahadat Hossain Bangladesh	12	125 0.7×	26 0.2×	41 0.8×	40 1.1×	28 0.8×	39	378
Anjali Gautam India	14	157 0.9×	175 1.6×	38 0.7×	17 0.5×	26 0.7×	56	507
Suliman Aladhadh Saudi Arabia	11	109 0.6×	88 0.8×	41 0.8×	51 1.4×	15 0.4×	25	295
Zulfikar Alom Bangladesh	7	155 0.9×	48 0.4×	19 0.4×	9 0.2×	69 1.9×	13	406
Md. Anwar Hussen Wadud Bangladesh	13	192 1.1×	51 0.5×	8 0.2×	22 0.6×	46 1.3×	33	379
Dost Muhammad Khan Pakistan	11	128 0.7×	78 0.7×	47 0.9×	5 0.1×	39 1.1×	25	345
C. Karthikeyan India	9	135 0.8×	69 0.6×	14 0.3×	7 0.2×	40 1.1×	51	359
Jamin Rahman Jim Bangladesh	9	136 0.8×	87 0.8×	31 0.6×	5 0.1×	17 0.5×	17	434
Atifa Athar Pakistan	12	189 1.1×	50 0.5×	20 0.4×	9 0.2×	116 3.2×	21	484
S. Mohan Kumar India	8	45 0.3×	32 0.3×	18 0.3×	31 0.8×	75 2.1×	57	297

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

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20 of 20 papers shown

Munsif, Muhammad, Muhammad Sajjad, Mohib Ullah, et al.. (2024). Optimized efficient attention-based network for facial expressions analysis in neurological health care. Computers in Biology and Medicine. 179. 108822–108822. 7 indexed citations

Ullah, Mohib, et al.. (2024). PolySegNet: improving polyp segmentation through swin transformer and vision transformer fusion. Biomedical Engineering Letters. 14(6). 1421–1431. 3 indexed citations

Ullah, Mohib, et al.. (2024). A dual-encoder double concatenation Y-shape network for precise volumetric liver and lesion segmentation. Computers in Biology and Medicine. 179. 108870–108870. 2 indexed citations

Daudpota, Sher Muhammad, et al.. (2024). Synthetic Image Generation Using Deep Learning: A Systematic Literature Review. Computational Intelligence. 40(5). 1 indexed citations

Beghdadi, Azeddine, et al.. (2024). A New Lightweight Hybrid Graph Convolutional Neural Network - CNN Scheme for Scene Classification Using Object Detection Inference. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations

Riaz, Shazia, et al.. (2024). Sensors Faults Classification and Faulty Signals Reconstruction Using Deep Learning. IEEE Access. 12. 100544–100558. 5 indexed citations

Ullah, Ihsan, Muhammad Alamzeb, Obaid‐ur‐Rahman Abid, et al.. (2023). An insight into recent developments of copper, silver and gold carbon dots: cancer diagnostics and treatment. Frontiers in Bioengineering and Biotechnology. 11. 1292641–1292641. 5 indexed citations

Alamzeb, Muhammad, et al.. (2023). Chemical insights into the synthetic chemistry of five-membered saturated heterocycles—a transition metal–catalyzed approach. Frontiers in Chemistry. 11. 1185669–1185669. 7 indexed citations

Khan, Rafiullah, Mohib Ullah, Muhammad Ishaq, et al.. (2023). Robust Counting in Overcrowded Scenes Using Batch-Free Normalized Deep ConvNet. Computer Systems Science and Engineering. 46(3). 2741–2754. 4 indexed citations

10.

Daudpota, Sher Muhammad, et al.. (2023). Automated Report Generation: A GRU Based Method for Chest X-Rays. 1–6. 8 indexed citations

11.

Khan, Rafiullah, et al.. (2022). Tanz‐Indicator: A Novel Framework for Detection of Perso‐Arabic‐Scripted Urdu Sarcastic Opinions. Wireless Communications and Mobile Computing. 2022(1). 4 indexed citations

12.

Ullah, Mohib, Babar Shah, Rafiullah Khan, et al.. (2022). An effective deep learning approach for the classification of Bacteriosis in peach leave. Frontiers in Plant Science. 13. 1064854–1064854. 23 indexed citations

13.

Ullah, Mohib, Rafiullah Khan, Irfan Ullah Khan, et al.. (2022). Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital Traces. Security and Communication Networks. 2022. 1–13. 2 indexed citations

14.

Khan, Rafiullah, Rajesh Roshan Biswal, Mohib Ullah, et al.. (2021). Acute Myeloid Leukemia (AML) Detection Using AlexNet Model. Complexity. 2021(1). 39 indexed citations

15.

Ullah, Habib, Mohib Ullah, Sultan Daud Khan, & Faouzi Alaya Cheikh. (2021). EVALUATING DEEP SEMI-SUPERVISED LEARNING METHODS FOR COMPUTER VISION APPLICATIONS. Electronic Imaging. 33(6). 313–1. 1 indexed citations

16.

Khan, Rafiullah, Arshad Ahmad, Alhuseen Omar Alsayed, et al.. (2020). QuPiD Attack: Machine Learning-Based Privacy Quantification Mechanism for PIR Protocols in Health-Related Web Search. Scientific Programming. 2020. 1–11. 11 indexed citations

17.

Khan, Zeeshan, et al.. (2020). DETERMINANTS OF YOUTH UNEMPLOYMENT IN PAKISTAN. International Journal of Economics and Financial Issues. 10(5). 171–177. 6 indexed citations

18.

Ullah, Habib, Sultan Daud Khan, Mohib Ullah, Maqsood Mahmud, & Faouzi Alaya Cheikh. (2020). GENERATIVE ADVERSARIAL NETWORKS: A SHORT REVIEW. Electronic Imaging. 32(10). 312–1. 1 indexed citations

19.

Ullah, Mohib, Habib Ullah, & Faouzi Alaya Cheikh. (2019). SINGLE SHOT APPEARANCE MODEL (SSAM) FOR MULTI-TARGET TRACKING. Electronic Imaging. 31(7). 466–1. 10 indexed citations

20.

Ullah, Mohib, et al.. (2017). Human Action Recognition in Videos Using Stable Features. Signal & Image Processing An International Journal. 8(6). 1–10. 6 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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