Adil Khan

801 total citations
19 papers, 318 citations indexed

About

Adil Khan is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Adil Khan has authored 19 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Adil Khan's work include Reinforcement Learning in Robotics (8 papers), Artificial Intelligence in Games (8 papers) and Spam and Phishing Detection (3 papers). Adil Khan is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Artificial Intelligence in Games (8 papers) and Spam and Phishing Detection (3 papers). Adil Khan collaborates with scholars based in Pakistan, China and Egypt. Adil Khan's co-authors include Muhammad Zubair Asghar, Anam Habib, Shaohui Liu, Feng Jiang, Rahman Ali, Asad Masood Khattak, Irfan Ullah Khan, Rahim Khan, Yongkui Ma and Qiang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Adil Khan

18 papers receiving 304 citations

Peers

Adil Khan

SPS

PHYSI

Mohammad Momani Jordan

Md Shafaeat Hossain United States

Isar Nejadgholi Canada

Kalaivani Sundararajan United States

Loukas Ilias Greece

Eric Yeh United States

Abdelghani Benharref United Arab Emirates

Farzana Kulsoom Italy

Değer Ayata Türkiye

Camillo Lugaresi United States

Mohammad Momani Jordan

Adil Khan

61 ×0.5

66 ×0.5

SPS

32 ×0.3

14 ×0.3

8 ×0.2

PHYSI

Citations per year, relative to Adil Khan Adil Khan (= 1×) peers Mohammad Momani

Countries citing papers authored by Adil Khan

Since Specialization

Citations

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

Fields of papers citing papers by Adil Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adil Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Adil Khan. A scholar is included among the top collaborators of Adil 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 Adil Khan. Adil 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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19 of 19 papers shown

Khan, Adil, et al.. (2025). Optimizing Reinforcement Learning Agents in Games Using Curriculum Learning and Reward Shaping. Computer Animation and Virtual Worlds. 36(1).

Khan, Adil & M. Naeem. (2024). Evaluating reinforcement learning algorithms in first-person shooter games using VizDoom. Multimedia Tools and Applications. 84(15). 15053–15075. 1 indexed citations

Khan, Adil, et al.. (2024). Using VizDoom Research Platform Scenarios for Benchmarking Reinforcement Learning Algorithms in First-Person Shooter Games. IEEE Access. 12. 15105–15132. 1 indexed citations

Khan, Adil, et al.. (2022). Inter-Organizational Cloud Computing and Robust Scalability in Current Scenario and Beyond. Automatic Control and Computer Sciences. 56(1). 26–37. 2 indexed citations

Tufail, Ahsan Bin, Yongkui Ma, Adil Khan, et al.. (2021). 3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities. Brain Informatics. 8(1). 23–23. 35 indexed citations

Khan, Adil, et al.. (2020). Playing first-person shooter games with machine learning techniques and methods using the VizDoom Game-AI research platform. Entertainment Computing. 34. 100357–100357. 11 indexed citations

Asghar, Muhammad Zubair, Fazli Subhan, Muhammad Ali Imran, et al.. (2020). Performance Evaluation Of Supervised Machine Learning Techniques For Efficient Detection Of Emotions From Online Content. Computers, materials & continua/Computers, materials & continua (Print). 63(3). 1093–1118. 19 indexed citations

Asghar, Muhammad Zubair, et al.. (2020). Applying Machine Learning Techniques for Performing Comparative Opinion Mining. SHILAP Revista de lepidopterología. 10(1). 461–477. 6 indexed citations

Khan, Adil, et al.. (2020). Enhancing the Quality of Service of Cloud Computing in Big Data using Virtual Private Network and Firewall in Dense Mode. International Journal of Advanced Computer Science and Applications. 11(3). 5 indexed citations

10.

Asghar, Muhammad Zubair, et al.. (2019). False information detection in online content and its role in decision making: a systematic literature review. Social Network Analysis and Mining. 9(1). 39 indexed citations

11.

Asghar, Muhammad Zubair, et al.. (2019). Exploring deep neural networks for rumor detection. Journal of Ambient Intelligence and Humanized Computing. 12(4). 4315–4333. 93 indexed citations

12.

Khan, Adil, et al.. (2019). Playing a FPS Doom Video Game with Deep Visual Reinforcement Learning. Automatic Control and Computer Sciences. 53(3). 214–222. 5 indexed citations

13.

Khan, Adil, Feng Jiang, Shaohui Liu, & Muhammad Zubair Asghar. (2019). Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning. Journal of Robotics. 2019. 1–10. 8 indexed citations

14.

Khan, Adil, et al.. (2018). Can Pre-Operative Endoscopy Identify Patients at Risk for Gastroesophageal Reflux Disease after Sleeve Gastrectomy?. 4(2). 1 indexed citations

15.

Li, Xiaoming, et al.. (2018). Discriminative Local Feature Fusion for Ear Recognition Problem. 139–145. 13 indexed citations

16.

Jiang, Feng, et al.. (2017). Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection. 199–202. 55 indexed citations

17.

Khan, Adil, Feng Jiang, Shaohui Liu, et al.. (2017). State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft. International Journal of Advanced Computer Science and Applications. 8(12). 4 indexed citations

18.

Khan, Adil, et al.. (2017). Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom. International Journal of Advanced Computer Science and Applications. 8(12). 12 indexed citations

19.

Khan, Adil, Tahir Ali, Adem Kılıçman, & Qamar Din. (2016). Refinements of Jensen’s inequality for convex functions on the co-ordinates in a rectangle from the plane. Filomat. 30(3). 803–814. 8 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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