Inam Ullah

823 total citations
49 papers, 503 citations indexed

About

Inam Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Inam Ullah has authored 49 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Inam Ullah's work include Visual Attention and Saliency Detection (7 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Inam Ullah is often cited by papers focused on Visual Attention and Saliency Detection (7 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Inam Ullah collaborates with scholars based in China, Pakistan and Saudi Arabia. Inam Ullah's co-authors include Sumaira Hussain, Kashif Shaheed, Imran Qureshi, Munish Kumar, Xingming Zhang, Aihua Mao, Muwei Jian, Yilong Yin, Jie Guo and Hui Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Inam Ullah

40 papers receiving 478 citations

Peers

Inam Ullah

CVPR

AI

SP

RNMI

IS

Thái Hoàng Lê Vietnam

Edmar Rezende Brazil

Dushyant Kumar Singh India

Chunyan Zeng China

Deepak Ghimire South Korea

Maheen Bakhtyar Pakistan

Ranjeet Kumar Rout India

Hüseyin Gürüler Türkiye

Awais Mahmood Saudi Arabia

Tuyen Danh Pham South Korea

Thái Hoàng Lê Vietnam

Inam Ullah

238 ×1.0

CVPR

123 ×0.8

AI

140 ×1.3

SP

63 ×1.0

RNMI

53 ×1.0

IS

Citations per year, relative to Inam Ullah Inam Ullah (= 1×) peers Thái Hoàng Lê

Countries citing papers authored by Inam Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Inam Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inam Ullah

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

1.

Fu, Shujun, et al.. (2025). Attention-Guided Asymmetric Multiscale Polyp Segmentation Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 2 indexed citations

2.

Khan, Rahim, et al.. (2025). Pyramidal attention with progressive multi-stage iterative feature refinement for salient object segmentation. Image and Vision Computing. 162. 105670–105670. 1 indexed citations

3.

Hussain, Sumaira, et al.. (2025). Optimizing malicious website prediction: An advanced XGBoost-based machine learning model. Nonlinear Engineering. 14(1).

4.

Rehman, Khalil Ur, Jianqiang Li, Anas Bilal, et al.. (2025). A Feature Fusion Attention-based Deep Learning Algorithm for Mammographic Architectural Distortion Classification. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 6 indexed citations

5.

Khan, Rahim, et al.. (2025). Bilateral collaborative streams with multi-modal attention network for accurate polyp segmentation. Scientific Reports. 15(1). 34182–34182.

6.

Ullah, Inam, et al.. (2025). ADPNet: Attention-Driven Dual-Path Network for automated polyp segmentation in colonoscopy. Image and Vision Computing. 162. 105648–105648.

7.

Yuan, Hui, et al.. (2025). Evolving Multi-Access Edge Computing (MEC) for Diverse Ubiquitous Resources Utilization: A Survey. Telecommunication Systems. 88(2). 1 indexed citations

8.

Humayun, Mamoona, et al.. (2025). Context-Aware Prediction with Secure and Lightweight Cognitive Decision Model in Smart Cities. Cognitive Computation. 17(1). 3 indexed citations

9.

Khan, Habib Ullah, Zahoor Jan, Inam Ullah, et al.. (2024). A deep dive into AI integration and advanced nanobiosensor technologies for enhanced bacterial infection monitoring. Nanotechnology Reviews. 13(1). 26 indexed citations

10.

Ullah, Inam, et al.. (2024). Measuring English Receptive and Productive Vocabulary of Pakistani University Students across Frequency Levels. Korean Journal of English Language and Linguistics. 24. 708–734.

11.

Rasheed, Zahid, et al.. (2024). Classification of MRI Brain Tumor with Hybrid VGG19 and Ensemble Classifier Approach. 1–7. 1 indexed citations

12.

Ullah, Inam, et al.. (2024). A comprehensive systematic literature review of ML in nanotechnology for sustainable development. Nanotechnology Reviews. 13(1). 12 indexed citations

13.

Qayyum, A., et al.. (2024). The Insiders and the Outsiders in Short Fiction: Is the Behaviour of Women and Men Determined by Living in and Living Out?. IX(III). 25–34.

14.

Ullah, Inam, et al.. (2023). Paremiological Analysis of Proverbs in Pashto and English: A Cross-cultural Pragmatic Study. SHILAP Revista de lepidopterología. 21(I). 33–57.

15.

Yuan, Hui, et al.. (2023). Incentivizing Smart Vehicles For Autonomous Driving HD Maps using predictive analytics. 157–162. 2 indexed citations

16.

Ullah, Inam, et al.. (2023). Prediction of COVID-19 using machine learning techniques. 3(1). 221–234.

17.

Hussain, Sumaira, et al.. (2022). A Discriminative Level Set Method with Deep Supervision for Breast Tumor Segmentation. Computers in Biology and Medicine. 149. 105995–105995. 23 indexed citations

18.

Li, Weidong, et al.. (2022). Multiple attention-based encoder–decoder networks for gas meter character recognition. Scientific Reports. 12(1). 10371–10371. 8 indexed citations

19.

Wang, Yuefen, et al.. (2020). Study of depression in university students in Pakistan. Journal of the Pakistan Medical Association. 70(0). 1–1. 3 indexed citations

20.

Ullah, Inam, et al.. (2019). Junction Point Detection and Identification of Broken Character in Touching Arabic Handwritten Text using Overlapping Set Theory. International Journal of Advanced Computer Science and Applications. 10(6). 1 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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