Hikmat Ullah Khan

3.2k total citations · 3 hit papers
97 papers, 2.0k citations indexed

About

Hikmat Ullah Khan is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Hikmat Ullah Khan has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 33 papers in Information Systems and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Hikmat Ullah Khan's work include Sentiment Analysis and Opinion Mining (22 papers), Complex Network Analysis Techniques (15 papers) and Advanced Text Analysis Techniques (11 papers). Hikmat Ullah Khan is often cited by papers focused on Sentiment Analysis and Opinion Mining (22 papers), Complex Network Analysis Techniques (15 papers) and Advanced Text Analysis Techniques (11 papers). Hikmat Ullah Khan collaborates with scholars based in Pakistan, Saudi Arabia and United Arab Emirates. Hikmat Ullah Khan's co-authors include Muhammad Ramzan, Ahsan Mahmood, Muzamil Ahmed, Mahwish Ilyas, Shahid Mahmood Awan, Saqib Iqbal, Fawaz Khaled Alarfaj, Naif Almusallam, Tassawar Iqbal and Mohammed Alraddadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Hikmat Ullah Khan

90 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Skin Cancer Detection: A Review Using Deep Learning Techniques

2021 323 citations Hikmat Ullah Khan, Muhammad Ramzan et al. profile →
A Survey on State-of-the-Art Drowsiness Detection Techniques

2019 213 citations Muhammad Ramzan, Hikmat Ullah Khan et al. profile →
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

2022 181 citations Fawaz Khaled Alarfaj, Hikmat Ullah Khan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hikmat Ullah Khan Pakistan	18	863	402	243	242	193	97	2.0k
George D. Magoulas United Kingdom	28	1.1k 1.3×	452 1.1×	60 0.2×	366 1.5×	58 0.3×	145	2.8k
Steve Pettifer United Kingdom	25	389 0.5×	298 0.7×	25 0.1×	213 0.9×	38 0.2×	104	2.3k
Andrea Passerini Italy	22	673 0.8×	161 0.4×	47 0.2×	169 0.7×	23 0.1×	99	2.0k
Balaraman Ravindran India	28	895 1.0×	123 0.3×	25 0.1×	289 1.2×	17 0.1×	168	2.1k
Qin Lu Hong Kong	29	1.6k 1.8×	391 1.0×	18 0.1×	250 1.0×	61 0.3×	238	3.2k
Han Liu China	29	1.3k 1.5×	382 1.0×	9 0.0×	402 1.7×	60 0.3×	121	2.5k
Huzefa Rangwala United States	29	1.1k 1.3×	343 0.9×	41 0.2×	172 0.7×	17 0.1×	137	3.6k
Tarek Abd El‐Hafeez Egypt	27	659 0.8×	179 0.4×	41 0.2×	381 1.6×	40 0.2×	61	1.7k
Gang Huang China	33	1.0k 1.2×	1.4k 3.6×	46 0.2×	203 0.8×	37 0.2×	251	3.7k
Marta Kwiatkowska United Kingdom	38	1.6k 1.9×	573 1.4×	12 0.0×	117 0.5×	116 0.6×	217	4.8k

Countries citing papers authored by Hikmat Ullah Khan

Since Specialization

Citations

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

Fields of papers citing papers by Hikmat Ullah Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikmat Ullah Khan

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

Khan, Hikmat Ullah, et al.. (2025). Mental Health Sentiment Analysis: Exploring an Optimized BERT with Deep Encodings. Engineering Technology & Applied Science Research. 15(5). 26242–26248.

Xu, Degang, et al.. (2025). AlzFormer: Multi-modal framework for Alzheimer’s classification using MRI and graph-embedded demographics guided by adaptive attention gating. Computerized Medical Imaging and Graphics. 124. 102638–102638.

Khan, Hikmat Ullah, et al.. (2025). Exploring the role of sentiment analysis with network and temporal features for finding influential users in social media platforms. Social Network Analysis and Mining. 14(1). 5 indexed citations

Alsini, Raed, Anam Naz, Hikmat Ullah Khan, et al.. (2024). Using deep learning and word embeddings for predicting human agreeableness behavior. Scientific Reports. 14(1). 29875–29875. 10 indexed citations

Khan, Hikmat Ullah, et al.. (2023). Topic Modeling based Text Classification Regarding Islamophobia using Word Embedding and Transformers Techniques. ACM Transactions on Asian and Low-Resource Language Information Processing. 7 indexed citations

Khan, Hikmat Ullah, et al.. (2023). Exploring Author, Article, and Venue Feature Sets for Rising Star Prediction in Academic Network. Journal of Scholarly Publishing. 54(3). 445–473. 1 indexed citations

Khan, Hikmat Ullah, Nidhal Bouaynaya, & Ghulam Rasool. (2023). The Importance of Robust Features in Mitigating Catastrophic Forgetting. 752–757. 5 indexed citations

Ahmad, Waqas, et al.. (2023). Hybrid Multichannel-Based Deep Models Using Deep Features for Feature-Oriented Sentiment Analysis. Sustainability. 15(9). 7213–7213. 6 indexed citations

Khan, Hikmat Ullah, et al.. (2022). Users’ Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures. Computational Intelligence and Neuroscience. 2022. 1–13. 6 indexed citations

10.

Khan, Hikmat Ullah, et al.. (2022). Empirical Analysis of Machine Learning Algorithms for Multiclass Prediction. Wireless Communications and Mobile Computing. 2022(1). 7 indexed citations

11.

Ullah, Amjad, Ivana Tlak Gajger, Showket Ahmad Dar, et al.. (2020). Viral impacts on honey bee populations: A review. Saudi Journal of Biological Sciences. 28(1). 523–530. 59 indexed citations

12.

Iqbal, Saqib, et al.. (2020). Extending UML Use Case Diagrams to Represent Non-Interactive Functional Requirements. SHILAP Revista de lepidopterología. 14(1). 4 indexed citations

13.

Khan, Hikmat Ullah, et al.. (2020). The Learning and the Memory Processes Carried Out in Human Brain. A Short Review. 3(2). 21–25. 1 indexed citations

14.

Ullah, Kifayat, Hikmat Ullah Khan, & Muhammad Arshad. (2018). Numerical Reckoning Fixed Points in $CAT(0)$ Spaces. SHILAP Revista de lepidopterología. 1 indexed citations

15.

Khan, Hikmat Ullah, et al.. (2018). Ranking Authors in an Academic Network Using Social Network Measures. Applied Sciences. 8(10). 1824–1824. 11 indexed citations

16.

Anjum, Syed Ishtiaq, et al.. (2017). Toxicity assessment of the methanol extract from Elaeagnus angustifolia against larvae of Drosophila melanogaster meign (Diptera/Drosophilidae). Journal of Entomology and Zoology Studies. 5(1). 217–220. 4 indexed citations

17.

Khan, Hikmat Ullah, et al.. (2017). Identifying the influential bloggers: a modular approach based on sentiment analysis. Journal of Web Engineering. 16(5). 505–523. 12 indexed citations

18.

Khan, Hikmat Ullah, et al.. (2016). A comprehensive framework for the semantic cache systems. International Journal of ADVANCED AND APPLIED SCIENCES. 3(10). 72–78. 2 indexed citations

19.

Anjum, Syed Ishtiaq, Sabir Hussain, Mohammad Attaullah, et al.. (2016). Evaluation of the larvicidal potential of Calotropis procera plant extract against Culex pipiens. International Journal of Mosquito Research. 3(6). 1–5. 1 indexed citations

20.

Khan, Hikmat Ullah. (2013). Order of Magnitude Enhancement in Axial Run-Down Velocity of a Current Sheath and the Focus Duration of a PF Device with Preionization. Chinese Journal of Physics. 51(2). 243–250. 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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