Inayat Khan

2.3k total citations · 1 hit paper
88 papers, 1.4k citations indexed

About

Inayat Khan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Inayat Khan has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Inayat Khan's work include Brain Tumor Detection and Classification (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Inayat Khan is often cited by papers focused on Brain Tumor Detection and Classification (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Inayat Khan collaborates with scholars based in Pakistan, Saudi Arabia and China. Inayat Khan's co-authors include M. Irfan Uddin, Michael O. Smith, Taj Rahman, Zafar Ali, Shah Khusro, Peter Kalix, Asim Zeb, Inam Ullah, Amin Ul Haq and C. A. Salemink and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Pharmacological Sciences and IEEE Access.

In The Last Decade

Inayat Khan

85 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

A deep learning approach for brain tumor classification using MRI images

2022 153 citations Inayat Khan, Zafar Ali et al. Computers & Electrical Engineering profile →

Peers

Inayat Khan

CVPR

AI

NEURO

CNC

EEE

Shen Li China

Pramod Kumar Mishra India

Chung‐Chih Lin Taiwan

Junbo Wang China

Xin Jiang China

Xiang Wu China

Sultan Ahmad Saudi Arabia

Yu Cao United States

Xiujuan Wang China

Robert W. Brennan Canada

Shen Li China

Inayat Khan

293 ×1.1

CVPR

332 ×1.5

AI

87 ×0.4

NEURO

159 ×0.8

CNC

125 ×0.9

EEE

Citations per year, relative to Inayat Khan Inayat Khan (= 1×) peers Shen Li

Countries citing papers authored by Inayat Khan

Since Specialization

Citations

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

Fields of papers citing papers by Inayat Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inayat Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Inayat Khan. A scholar is included among the top collaborators of Inayat 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 Inayat Khan. Inayat Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Khusro, Shah, et al.. (2025). AIME-solve: Accessible interactive mathematical expressions solver for optimized learning and visual empowerment. SoftwareX. 30. 102143–102143. 1 indexed citations

2.

Saba, Tanzila, Inayat Khan, Tariq Mahmood, et al.. (2025). Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities. Computers & Electrical Engineering. 123. 110030–110030. 11 indexed citations

3.

Sadad, Tariq, Mejdl Safran, Inayat Khan, et al.. (2023). Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT. Sensors. 23(18). 7697–7697. 15 indexed citations

4.

Ullah, Asmat, et al.. (2023). Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time. Sensors. 23(6). 3180–3180. 13 indexed citations

5.

Rahman, Shahid, et al.. (2023). Multi Perspectives Steganography Algorithm for Color Images on Multiple-Formats. Sustainability. 15(5). 4252–4252. 2 indexed citations

6.

Islam, Umar, et al.. (2023). Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data. Sensors. 23(12). 5626–5626. 6 indexed citations

7.

Tariq, Usman, et al.. (2022). Analytical Study of Deep Learning-Based Preventive Measures of COVID-19 for Decision Making and Aggregation via the RISTECB Model. Scientific Programming. 2022. 1–17. 5 indexed citations

8.

Rahman, Saeed Ur, Inam Ullah, Inayat Khan, et al.. (2022). A UAV-Swarm-Communication Model Using a Machine-Learning Approach for Search-and-Rescue Applications. Drones. 6(12). 372–372. 38 indexed citations

9.

Ali, Zafar, Guilin Qi, Pavlos Kefalas, et al.. (2022). SPR-SMN: scientific paper recommendation employing SPECTER with memory network. Scientometrics. 127(11). 6763–6785. 11 indexed citations

10.

Rahman, Taj, et al.. (2021). RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN. Sensors. 21(23). 7980–7980. 27 indexed citations

11.

Ahmad, Irfan, Taj Rahman, Asim Zeb, et al.. (2021). Analysis of Security Attacks and Taxonomy in Underwater Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2021(1). 37 indexed citations

12.

Khan, Sher Afzal, Taj Rahman, Inayat Khan, et al.. (2021). Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network. Sustainability. 13(17). 9775–9775. 88 indexed citations

13.

Khan, Inayat, Shah Khusro, Niamat Ullah, & Shaukat Ali. (2020). AutoLog: Toward the Design of a Vehicular Lifelogging Framework for Capturing, Storing, and Visualizing LifeBits. IEEE Access. 8. 136546–136559. 10 indexed citations

14.

Khan, Inayat, et al.. (2016). Sensors are Power Hungry: An Investigation of Smartphone Sensors Impact on Battery Power from Lifelogging Perspective. 9(2). 13 indexed citations

15.

Ghazi, Safdar Rehman & Inayat Khan. (2013). TEACHERS' NEED SATISFACTION AND THEIR PERFORMANCE IN SECONDARY SCHOOLS OF KHYBER PAKHTUNKHWA, PAKISTAN. Asian journal of social sciences & humanities. 2(3). 87–94. 2 indexed citations

16.

Khan, Imran, et al.. (2012). WHEAT AND BERSEEM CULTIVATION: A COMPARISON OF PROFITABILITY IN DISTRICT PESHAWAR. Sarhad Journal of Agriculture. 28(1). 83–88. 5 indexed citations

17.

Janjua, M. Burhan & Inayat Khan. (2010). Comparative study of sella closure with autologous free fat graft only inintra operative CSF leak. Rawal Medical Journal. 35(1). 27–30. 1 indexed citations

18.

Qasim, Muhammad, et al.. (2007). Effect of integrated nutrient management on crop yields in rice-wheat cropping system. Sarhad Journal of Agriculture. 19 indexed citations

19.

Khan, Inayat. (1989). Teaching at a distance : some papers on distance education. 1 indexed citations

20.

Ghodse, Hamid & Inayat Khan. (1988). Psychoactive Drugs: Improving Prescribing Practices.. World Health Organization eBooks. 21 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.

Explore authors with similar magnitude of impact