Ihsan Ullah

820 total citations
49 papers, 405 citations indexed

About

Ihsan Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ihsan Ullah has authored 49 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Ihsan Ullah's work include Image Retrieval and Classification Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Face and Expression Recognition (4 papers). Ihsan Ullah is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Face and Expression Recognition (4 papers). Ihsan Ullah collaborates with scholars based in Ireland, Pakistan and Saudi Arabia. Ihsan Ullah's co-authors include Hatim Aboalsamh, Ghulam Muhammad, Muhammad Hussain, Susan McKeever, Junaid Baber, Maheen Bakhtyar, Zulfiqar Ali, M. Shamim Hossain, Atif Alamri and George Bebis and has published in prestigious journals such as IEEE Access, Automation in Construction and Future Generation Computer Systems.

In The Last Decade

Ihsan Ullah

42 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ihsan Ullah Ireland	13	134	111	94	77	50	49	405
Ranjeet Kumar Rout India	14	260 1.9×	113 1.0×	96 1.0×	61 0.8×	62 1.2×	62	591
Rushit Dave United States	12	161 1.2×	110 1.0×	86 0.9×	123 1.6×	69 1.4×	30	396
Ashim Saha India	9	181 1.4×	110 1.0×	36 0.4×	33 0.4×	35 0.7×	32	379
Syed Hasan Adil Pakistan	11	74 0.6×	71 0.6×	36 0.4×	63 0.8×	65 1.3×	53	441
Jesús Olivares-Mercado Mexico	13	205 1.5×	120 1.1×	100 1.1×	64 0.8×	112 2.2×	37	449
R Shashidhar India	10	95 0.7×	88 0.8×	62 0.7×	43 0.6×	21 0.4×	57	360
Yongliang Zhang China	12	179 1.3×	79 0.7×	173 1.8×	62 0.8×	26 0.5×	50	406
Young-Tack Park South Korea	8	249 1.9×	210 1.9×	40 0.4×	61 0.8×	43 0.9×	48	503
Mansoor Nasir Pakistan	7	183 1.4×	63 0.6×	33 0.4×	41 0.5×	93 1.9×	11	385

Countries citing papers authored by Ihsan Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Ihsan Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ihsan Ullah

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

Longo, Francesco, et al.. (2025). Towards a Digital Twin for Production Planning: Combining Discrete Event Simulation and ML for Flexible Job Shops. Procedia Computer Science. 253. 3078–3087.

Ullah, Ihsan, et al.. (2025). Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space. IEEE Open Journal of Vehicular Technology. 6. 1673–1685.

He, Jianfeng, et al.. (2024). Cross Classification Matrix to Evaluate the Performance of Machine Learning Algorithms in Predicting Students Performance of Developing Regions. SN Computer Science. 5(5). 3 indexed citations

Wagener, Max, et al.. (2024). Does renal denervation require cardiovascular outcome-driven data?. Hypertension Research. 47(10). 2633–2643. 4 indexed citations

Iqbal, Talha, et al.. (2024). Explaining decisions of a light-weight deep neural network for real-time coronary artery disease classification in magnetic resonance imaging. Journal of Real-Time Image Processing. 21(2). 31–31. 5 indexed citations

Iqbal, Talha, et al.. (2024). Exploratory analysis of Type B Aortic Dissection (TBAD) segmentation in 2D CTA images using various kernels. Computerized Medical Imaging and Graphics. 118. 102460–102460.

Ullah, Ihsan, et al.. (2024). Target-specified reference-based deep learning network for joint image deblurring and resolution enhancement in surgical zoom lens camera calibration. Computers in Biology and Medicine. 183. 109309–109309. 2 indexed citations

Farooq, Muhammad Ali, et al.. (2024). Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models. PubMed. 2024. 1–5. 2 indexed citations

Javed, Sajid, Arif Mahmood, Ihsan Ullah, et al.. (2022). A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking. IEEE Access. 10. 24690–24703. 6 indexed citations

10.

Bakhtyar, Maheen, et al.. (2022). Semantic similarity based food entities recognition using WordNet. Journal of Intelligent & Fuzzy Systems. 43(2). 2069–2078. 1 indexed citations

11.

Ullah, Ihsan, et al.. (2022). Brain tumor detection in MRI scans using single shot multibox detector. Journal of Intelligent & Fuzzy Systems. 43(2). 1985–1993. 4 indexed citations

12.

Baber, Junaid, et al.. (2022). Extended framework for Sindhi numerals OCR using gradient orientation histograms. Journal of Intelligent & Fuzzy Systems. 43(2). 2045–2056. 1 indexed citations

13.

Sheikh, Naveed, et al.. (2021). Blood Pressure Estimation Using Artificial Neural Network and Multitaper Model. 1 indexed citations

14.

Ullah, Ihsan, et al.. (2021). Enhancing Semantic Segmentation of Aerial Images with Inhibitory Neurons. 5451–5458. 1 indexed citations

15.

Ullah, Ihsan & Hyo Jong Lee. (2017). Vehicle Make and Model Recognition System based on Convolutional Neural Network. 51–53. 2 indexed citations

16.

Ullah, Ihsan, Hatim Aboalsamh, Muhammad Hussain, Ghulam Muhammad, & George Bebis. (2014). Gender Classification from Facial Images Using Texture Descriptors. 網際網路技術學刊. 15(5). 801–811. 6 indexed citations

17.

Ullah, Ihsan, et al.. (2013). Survey on botnet: Its architecture, detection, prevention and mitigation. 660–665. 18 indexed citations

18.

Hussain, Muhammad, Ihsan Ullah, Hatim Aboalsamh, et al.. (2013). GENDER RECOGNITION FROM FACE IMAGES WITH DYADIC WAVELET TRANSFORM AND LOCAL BINARY PATTERN. International Journal of Artificial Intelligence Tools. 22(6). 1360018–1360018. 5 indexed citations

19.

Ullah, Ihsan, Muhammad Hussain, Ghulam Muhammad, et al.. (2012). Gender recognition from face images with local WLD descriptor. International Conference on Systems, Signals and Image Processing. 417–420. 39 indexed citations

20.

Shahzad, Basit, et al.. (2009). Software Risk Identification and Mitigation in Incremental Model. 366–370. 13 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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