Thanveer Shaik

1.3k citations

20 papers · 602 indexed · 1 hit paper · h-index 10

Impact in

Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Computer Science Applications top 5%
- Online Learning and Analytics

Papers in

Computer Science Applications 9
- Online Learning and Analytics 8
Health Informatics 2

Co-authors: Xiaohui Tao Lin Li Niall Higgins Raj Gururajan Xujuan Zhou U. Rajendra Acharya Christopher Dann Haoran Xie
Journals: Knowledge-Based Systems (2 papers)Research and Practice in Technology Enhanced Learning (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Brain Informatics (1 paper)IEEE Access (1 paper)
Partner nations: Australia China Hong Kong

In The Last Decade

Thanveer Shaik

17 papers receiving 575 citations

Hit Papers

align trajectories log scale

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges 2023 · 212 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

Peers

Countries citing papers authored by Thanveer Shaik

Since Specialization

Citations

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

Fields of papers citing papers by Thanveer Shaik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thanveer Shaik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thanveer Shaik Line = papers co-authored together Thanveer Shaik links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting Knowledge-Based Systems ·Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou	2025	1
2	Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability SHILAP Revista de lepidopterología ·Thanveer Shaik, Xiaohui Tao, Haoran Xie, 道彦廣永, Niall Higgins, Juan D. Velásquez	2025	1
3	Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates Education Sciences ·Wan Yong Chia, Seyum Getenet, Christopher Dann, Thanveer Shaik	2025	1
4	AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts Brain Informatics ·Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong‐Ning Dai, Feng Zhao, Jianming Yong	2025	0
5	FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning IEEE Transactions on Knowledge and Data Engineering ·Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li	2024	9
6	Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy IEEE Transactions on Neural Networks and Learning Systems ·Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li	2024	11
7	Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence IEEE Transactions on Emerging Topics in Computational Intelligence ·Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li	2024	9
8	Making sense of student feedback and engagement using artificial intelligence Australasian Journal of Educational Technology ·Christopher Dann, Petrea Redmond, 暁全毛, Alice Brown, Seyum Getenet, Thanveer Shaik, Xiaohui Tao, Linda Galligan, Li Yan	2024	7
9	A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom Information Fusion ·Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez	2023	70
10	Characteristics of engaging teaching videos in higher education: a systematic literature review of teachers’ behaviours and movements in video conferencing Research and Practice in Technology Enhanced Learning ·Wan Yong Chia, Seyum Getenet, Christopher Dann, Thanveer Shaik	2023	5
11	Remote patient monitoring using artificial intelligence: Current state, applications, and challenges Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya Hit paper breakdown →	2023	212
12	Designing an artificial intelligence tool to understand student engagement based on teacher's behaviours and movements in video conferencing Computers and Education Artificial Intelligence ·Wan Yong Chia, LiLuoqing, J. Kranjc, Thanveer Shaik	2023	12
13	Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion Pattern Recognition Letters ·Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong	2023	4
14	Clustered Fedstack: Intermediate Global Models with Bayesian Information Criterion SSRN Electronic Journal ·Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong	2023	0
15	AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content Thanveer Shaik, Xiaohui Tao, Lin Li, Seong Hoo Cho, Yan Li, Ji Zhang, Christopher Dann	2023	0
16	Sentiment analysis and opinion mining on educational data: A survey arXiv (Cornell University) ·Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan	2022	82
17	A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis IEEE Access ·Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jacquie McDonald, Petrea Redmond, Linda Galligan	2022	112
18	FedStack: Personalized activity monitoring using stacked federated learning Knowledge-Based Systems ·Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya	2022	40
19	Educational Decision Support System Adopting Sentiment Analysis on Student Feedback Thanveer Shaik, Xiaohui Tao, Christopher Dann, B. Regina, Yan Li, Shirley O’Neill	2022	4
20	Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities Sensors ·Xiaohui Tao, Thanveer Shaik, Niall Higgins, Raj Gururajan, Xujuan Zhou	2021	22

About Thanveer Shaik

Thanveer Shaik is a scholar working on Computer Science Applications, Health Informatics, Health Information Management, Artificial Intelligence and Management Science and Operations Research, having authored 20 papers that have together received 602 indexed citations. Recurring topics across this work include Online Learning and Analytics (8 papers), Privacy-Preserving Technologies in Data (3 papers), Machine Learning in Healthcare (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Topic Modeling (2 papers), Stock Market Forecasting Methods (2 papers), Online and Blended Learning (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Health Informatics (88 citations), Computer Science Applications (91 citations), Health Information Management (64 citations), Artificial Intelligence (248 citations) and Information Systems (77 citations). Thanveer Shaik has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya, Christopher Dann, Haoran Xie, Linda Galligan and Petrea Redmond. Their work appears in journals such as Knowledge-Based Systems, Research and Practice in Technology Enhanced Learning, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Brain Informatics and IEEE Access.

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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