Akshansh Gupta

2.1k total citations · 2 hit papers
18 papers, 1.4k citations indexed

About

Akshansh Gupta is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Akshansh Gupta has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 9 papers in Signal Processing. Recurrent topics in Akshansh Gupta's work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (6 papers). Akshansh Gupta is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (6 papers). Akshansh Gupta collaborates with scholars based in India, Australia and China. Akshansh Gupta's co-authors include Mukesh Prasad, Chin‐Teng Lin, Weiping Ding, Amit Saxena, Aruna Tiwari, Neha Bharill, Om Prakash Patel, Meng Joo Er, Hesham El‐Sayed and Sharmi Sankar and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Akshansh Gupta

18 papers receiving 1.3k citations

Hit Papers

A review of clustering techniques and developments 2017 2026 2020 2023 2017 2017 250 500 750
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.

  1. A review of clustering techniques and developments
    2017 850 citations Amit Saxena, Mukesh Prasad et al. Neurocomputing profile →
  2. Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment
    2017 279 citations Hesham El‐Sayed, Sharmi Sankar et al. IEEE Access profile →

Peers

Akshansh Gupta
Dharmendra Singh Rajput India
Yun Li China
Salem Alelyani Saudi Arabia
Anca Ralescu United States
Khushnood Abbas China
Guangyan Huang Australia
Samir Brahim Belhaouari Qatar
John Berkowitz United States
Md. Saiful Islam Australia
Kapil Sharma India
Dharmendra Singh Rajput India
Akshansh Gupta
Citations per year, relative to Akshansh Gupta Akshansh Gupta (= 1×) peers Dharmendra Singh Rajput

Countries citing papers authored by Akshansh Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Akshansh Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshansh Gupta

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

All Works

18 of 18 papers shown
1.
Gupta, Akshansh, et al.. (2023). Local eye-net: An attention based deep learning architecture for localization of eyes. Expert Systems with Applications. 239. 122416–122416. 1 indexed citations
2.
Verma, Hanuman, et al.. (2022). Temporal deep learning architecture for prediction of COVID-19 cases in India. Expert Systems with Applications. 195. 116611–116611. 40 indexed citations
3.
4.
Gupta, Akshansh, Dhirendra Kumar, Hanuman Verma, et al.. (2022). Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Computing and Applications. 35(31). 22989–23006. 14 indexed citations
5.
Gupta, Akshansh, et al.. (2022). Comparative Performance Study of CNN-based Algorithms and YOLO. 1–6. 3 indexed citations
6.
Saxena, Amit, S. Pare, Deepak Gupta, et al.. (2020). A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms. 13(9). 215–215. 1 indexed citations
7.
Thapa, Surendrabikram, et al.. (2020). Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer’s Disease. 1–8. 35 indexed citations
8.
Verma, Hanuman, Akshansh Gupta, & Dhirendra Kumar. (2019). A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree. Pattern Recognition Letters. 122. 45–52. 42 indexed citations
9.
Gupta, Akshansh, R. K. Agrawal, Baljeet Kaur, et al.. (2019). A hierarchical meta-model for multi-class mental task based brain-computer interfaces. Neurocomputing. 389. 207–217. 10 indexed citations
10.
Lin, Chin‐Teng, et al.. (2019). EOG-Based Eye Movement Classification and Application on HCI Baseball Game. IEEE Access. 7. 96166–96176. 27 indexed citations
11.
Tanveer, M., et al.. (2018). Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. 9. 1761–1766. 1 indexed citations
12.
Lin, Chin‐Teng, Jung‐Tai King, Avinash Kumar Singh, et al.. (2018). Voice Navigation Effects on Real-World Lane Change Driving Analysis Using an Electroencephalogram. IEEE Access. 6. 26483–26492. 6 indexed citations
13.
El‐Sayed, Hesham, Sharmi Sankar, Mukesh Prasad, et al.. (2017). Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment. IEEE Access. 6. 1706–1717. 279 indexed citations breakdown →
14.
Saxena, Amit, Mukesh Prasad, Akshansh Gupta, et al.. (2017). A review of clustering techniques and developments. Neurocomputing. 267. 664–681. 850 indexed citations breakdown →
15.
Gupta, Akshansh & Dhirendra Kumar. (2016). Fuzzy clustering-based feature extraction method for mental task classification. Brain Informatics. 4(2). 135–145. 12 indexed citations
16.
Gupta, Akshansh, et al.. (2015). A novel approach for extracting feature from EEG signal for mental task classification. 829–832. 3 indexed citations
17.
Gupta, Akshansh, R. K. Agrawal, & Baljeet Kaur. (2014). Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods. Soft Computing. 19(10). 2799–2812. 43 indexed citations
18.
Gupta, Akshansh, R. K. Agrawal, & Baljeet Kaur. (2012). A three phase approach for mental task classification using EEG. 898–904. 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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