Imdadullah Khan

606 total citations
27 papers, 210 citations indexed

About

Imdadullah Khan is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Imdadullah Khan has authored 27 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Imdadullah Khan's work include Machine Learning in Bioinformatics (5 papers), Algorithms and Data Compression (4 papers) and Energy Load and Power Forecasting (3 papers). Imdadullah Khan is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Algorithms and Data Compression (4 papers) and Energy Load and Power Forecasting (3 papers). Imdadullah Khan collaborates with scholars based in Pakistan, United States and Saudi Arabia. Imdadullah Khan's co-authors include Anjan Patel, Asim Karim, Sarwan Ali, Naveed Arshad, Pavel P. Kuksa, Vladimir Pavlović, Arif Zaman, Muhammad Farhan, Alex Zelikovsky and Murray Patterson and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Journal of the Operational Research Society.

In The Last Decade

Imdadullah Khan

22 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Imdadullah Khan Pakistan	9	64	58	51	38	38	27	210
Robert Brijder Belgium	9	32 0.5×	100 1.7×	32 0.6×	138 3.6×	24 0.6×	51	261
Arseniy Akopyan Russia	8	4 0.1×	23 0.4×	10 0.2×	48 1.3×	48 1.3×	26	209
Gianluca De Marco Italy	11	8 0.1×	39 0.7×	21 0.4×	24 0.6×	1 0.0×	30	296
Michael Axtell United States	8	28 0.4×	18 0.3×	17 0.3×		131 3.4×	20	391
Zhensheng Yu China	9		154 2.7×	25 0.5×	9 0.2×	5 0.1×	47	321
Chantal David Canada	10	45 0.7×	7 0.1×	54 1.1×	1 0.0×	159 4.2×	33	272
Jackeline Abad Torres United States	9		9 0.2×	18 0.4×	32 0.8×	9 0.2×	41	250
Yuxiang Li China	13		114 2.0×	28 0.5×	46 1.2×	16 0.4×	29	362
Éva Gyurkovics Hungary	11		69 1.2×	19 0.4×	14 0.4×	5 0.1×	42	392
Milena Anguelova Sweden	7	1 0.0×	17 0.3×	11 0.2×	108 2.8×	2 0.1×	8	263

Countries citing papers authored by Imdadullah Khan

Since Specialization

Citations

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

Fields of papers citing papers by Imdadullah Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imdadullah Khan

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

Ahmad, Jawad, Shahid Latif, Imdadullah Khan, et al.. (2025). An interpretable deep learning framework for intrusion detection in industrial Internet of Things. Internet of Things. 33. 101681–101681. 2 indexed citations

Khan, Imdadullah, et al.. (2025). Prompt-based fine-tuning with multilingual transformers for language-independent sentiment analysis. Scientific Reports. 15(1). 20834–20834.

Khan, Imdadullah, et al.. (2024). Remaining useful life prediction for a cracked rotor system via moving feature fusion based deep learning approach. Measurement. 239. 115433–115433. 2 indexed citations

Rehman, Shafiq Ur, Abdul Aziz Abdul Samad, Imdadullah Khan, et al.. (2024). Biotechnological Approaches to Discovery of Drugs for Veterinary Use. 21–28.

Ali, Sarwan, et al.. (2024). PseAAC2Vec protein encoding for TCR protein sequence classification. Computers in Biology and Medicine. 170. 107956–107956.

Khan, Imdadullah, Seunghoo Jeong, & Sung‐Han Sim. (2024). Investigation of Issues in Data Anomaly Detection Using Deep-Learning- and Rule-Based Classifications for Long-Term Vibration Measurements. Applied Sciences. 14(13). 5476–5476. 2 indexed citations

Khan, Imdadullah, et al.. (2023). Particle breakage in construction materials: A geotechnical perspective. Construction and Building Materials. 381. 131308–131308. 25 indexed citations

Khan, Imdadullah, et al.. (2023). Evaluation of the crushing characteristics of industrial waste aggregates as construction materials. Construction and Building Materials. 403. 133111–133111. 11 indexed citations

Ali, Sarwan, et al.. (2023). Spike2CGR: an efficient method for spike sequence classification using chaos game representation. Machine Learning. 112(10). 3633–3658. 2 indexed citations

10.

Rehman, Mujeeb Ur, Arslan Shafique, Imdadullah Khan, et al.. (2023). An efficient deep learning model for brain tumour detection with privacy preservation. CAAI Transactions on Intelligence Technology. 6 indexed citations

11.

Ali, Sarwan, et al.. (2023). Computing Graph Descriptors on Edge Streams. ACM Transactions on Knowledge Discovery from Data. 17(8). 1–25.

12.

Ali, Sarwan, et al.. (2023). Short-Term Load Forecasting Using AMI Data. IEEE Internet of Things Journal. 10(24). 22040–22050. 8 indexed citations

13.

Ali, Sarwan, et al.. (2022). Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. 2022 IEEE International Conference on Big Data (Big Data). 29. 5988–5997. 2 indexed citations

14.

Ali, Sarwan, et al.. (2022). Efficient Approximate Kernel Based Spike Sequence Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3376–3388. 9 indexed citations

15.

Khan, Imdadullah, et al.. (2021). DIGITAL DIVIDE DURING COVID-19 PANDEMIC AMONG UNDERGRADUAT STUDENTS OF PUNJAB, PAKISTAN. 20(6). 708–716. 1 indexed citations

16.

Ali, Sarwan, et al.. (2019). Hour-Ahead Load Forecasting Using AMI Data. arXiv (Cornell University).

17.

Farhan, Muhammad, et al.. (2017). Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification. Neural Information Processing Systems. 30. 6935–6945. 12 indexed citations

18.

Zaman, Arif, et al.. (2017). Sampling Based Efficient Algorithm to Estimate the Spectral Radius of Large Graphs. 175–180. 3 indexed citations

19.

Khan, Imdadullah. (2015). Perfect matchings in 4-uniform hypergraphs. Journal of Combinatorial Theory Series B. 116. 333–366. 25 indexed citations

20.

Kuksa, Pavel P., Imdadullah Khan, & Vladimir Pavlović. (2011). Generalized Similarity Kernels for Efficient Sequence Classification. View. 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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