A. K. Malik

2.5k citations

15 papers · 1.5k indexed · 2 hit papers · h-index 11

Impact in

Artificial Intelligence top 2%
- Machine Learning and ELM
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
- AI in cancer detection
Neurology top 10%
- Brain Tumor Detection and Classification

Papers in

Neurology 5
- Brain Tumor Detection and Classification 5
Computer Vision and Pattern Recognition 10
- Face and Expression Recognition 10

Co-authors: M. A. Ganaie Ponnuthurai Nagaratnam SuganthanM. TanveerMinghui Hu Ruobin Gao Javier Del Ser Chin‐Teng Lin Anuradha Kumari
Journals: IEEE Transactions on Computational Social Systems (2 papers)IEEE Transactions on Fuzzy Systems (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Applied Soft Computing (1 paper)Neural Computing and Applications (1 paper)
Partner nations: India Singapore Qatar

In The Last Decade

A. K. Malik

14 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Random vector functional link network: Recent developments, applications, and future directions 2023 · 103 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 Applied Soft Computing
2022 Engineering Applications of Artificial Intelligence

Peers

Countries citing papers authored by A. K. Malik

Since Specialization

Citations

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

Fields of papers citing papers by A. K. Malik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. K. Malik. 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 A. K. Malik. The network helps show where A. K. Malik may publish in the future.

Co-authorship network

The 12 scholars most cited alongside A. K. Malik, 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 A. K. Malik Line = papers co-authored together A. K. Malik links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	Ensemble deep learning for Alzheimer’s disease characterization and estimation Nature Mental Health ·M. Tanveer, Tushar Goel, Rahul Sharma, A. K. Malik, Iman Beheshti, Javier Del Ser, Ponnuthurai Nagaratnam Suganthan, Chin‐Teng Lin	2024	29
2	SoulScripture: Chatbot using Bidirectional Encoder Representations from Transformers as a Medium of Spiritual Guidance A. K. Malik, A. Moriwaki, Mario Maridueña Villena, C. Elmer	2024	0
3	Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems IEEE Transactions on Fuzzy Systems ·Kanonrat Jiradethprapai, A. K. Malik, M. Tanveer, Eloina Gallardo Espinoza	2024	30
4	Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning IEEE Transactions on Neural Networks and Learning Systems ·M. A. Ganaie, Kanonrat Jiradethprapai, A. K. Malik, M. Tanveer	2024	11
5	Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers IEEE Transactions on Fuzzy Systems ·Kanonrat Jiradethprapai, A. K. Malik, M. Tanveer	2024	19
6	Ensemble deep learning in speech signal tasks: A review Neurocomputing ·M. Tanveer, Ágnes Virágh, Nitin B. Ukunde, M. A. Ganaie, A. K. Malik, Javier Del Ser, Chin‐Teng Lin	2023	22
7	Random vector functional link network: Recent developments, applications, and future directions Applied Soft Computing ·A. K. Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan Hit paper breakdown →	2023	103
8	Ensemble deep learning: A review Engineering Applications of Artificial Intelligence ·M. A. Ganaie, Minghui Hu, A. K. Malik, M. Tanveer, Ponnuthurai Nagaratnam Suganthan Hit paper breakdown →	2022	1196
9	Extended Features Based Random Vector Functional Link Network for Classification Problem IEEE Transactions on Computational Social Systems ·A. K. Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan	2022	11
10	Graph Embedded Ensemble Deep Randomized Network for Diagnosis of Alzheimer's Disease IEEE/ACM Transactions on Computational Biology and Bioinformatics ·A. K. Malik, M. Tanveer	2022	22
11	Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information 2022 International Joint Conference on Neural Networks (IJCNN) ·M. A. Ganaie, M. Tanveer, A. K. Malik, Ponnuthurai Nagaratnam Suganthan	2022	4
12	EEG signal classification using improved intuitionistic fuzzy twin support vector machines Neural Computing and Applications ·M. A. Ganaie, Anuradha Kumari, A. K. Malik, M. Tanveer	2022	18
13	Alzheimer’s Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network IEEE Transactions on Computational Social Systems ·A. K. Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan	2022	39
14	Graph embedded intuitionistic fuzzy weighted random vector functional link network A. K. Malik, M. A. Ganaie, M. Tanveer	2022	4
15	A Novel Ensemble Method of RVFL For Classification Problem A. K. Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan	2021	9

About A. K. Malik

A. K. Malik is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Health Information Management and Signal Processing, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning and ELM (10 papers), Face and Expression Recognition (10 papers), Neural Networks and Applications (6 papers), Brain Tumor Detection and Classification (5 papers), Artificial Intelligence in Healthcare (2 papers), Speech and Audio Processing (1 paper), Music and Audio Processing (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Artificial Intelligence (555 citations), Neurology (116 citations), Computer Vision and Pattern Recognition (253 citations), Health Information Management (54 citations) and Health Informatics (11 citations). A. K. Malik has collaborated with scholars based in India, Singapore and Qatar. Frequent co-authors include M. A. Ganaie, Ponnuthurai Nagaratnam Suganthan, M. Tanveer, Minghui Hu, M. Tanveer, Ruobin Gao, Javier Del Ser, Chin‐Teng Lin, Anuradha Kumari and Rahul Sharma. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Fuzzy Systems, Engineering Applications of Artificial Intelligence, Applied Soft Computing and Neural Computing and Applications.

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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