Deepak Gupta

3.0k total citations · 1 hit paper
103 papers, 2.0k citations indexed

About

Deepak Gupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Deepak Gupta has authored 103 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 52 papers in Computer Vision and Pattern Recognition and 11 papers in Control and Systems Engineering. Recurrent topics in Deepak Gupta's work include Face and Expression Recognition (43 papers), Machine Learning and ELM (41 papers) and Neural Networks and Applications (12 papers). Deepak Gupta is often cited by papers focused on Face and Expression Recognition (43 papers), Machine Learning and ELM (41 papers) and Neural Networks and Applications (12 papers). Deepak Gupta collaborates with scholars based in India, Australia and Singapore. Deepak Gupta's co-authors include Barenya Bikash Hazarika, Umesh Gupta, Parashjyoti Borah, S. R. Balasundaram, Bharat Richhariya, Berlin Mohanadhas, N. Natarajan, Mukesh Prasad, Usha Sharma and Kamal Garg and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Fuzzy Sets and Systems.

In The Last Decade

Deepak Gupta

97 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Leaf disease detection using machine learning and deep learning: Review and challenges

2023 116 citations Deepak Gupta, Umesh Gupta et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Gupta India	27	951	651	243	212	197	103	2.0k
M. A. Ganaie India	20	988 1.0×	610 0.9×	216 0.9×	184 0.9×	99 0.5×	40	2.4k
Wenjian Wang China	21	793 0.8×	460 0.7×	197 0.8×	193 0.9×	508 2.6×	108	2.2k
Brijesh Verma Australia	29	1.3k 1.4×	1.4k 2.1×	167 0.7×	112 0.5×	189 1.0×	204	2.8k
Vojislav Kecman New Zealand	22	695 0.7×	456 0.7×	309 1.3×	281 1.3×	152 0.8×	83	2.5k
Ming Zong China	13	930 1.0×	694 1.1×	190 0.8×	133 0.6×	83 0.4×	24	2.3k
Pedro Antonio Gutiérrez Spain	31	1.4k 1.5×	401 0.6×	579 2.4×	175 0.8×	448 2.3×	164	3.4k
Xinzheng Xu China	20	841 0.9×	440 0.7×	311 1.3×	158 0.7×	96 0.5×	55	1.8k
Kai Hu China	28	649 0.7×	885 1.4×	173 0.7×	158 0.7×	166 0.8×	219	2.6k
Hamza Turabieh Saudi Arabia	31	1.3k 1.4×	344 0.5×	251 1.0×	179 0.8×	71 0.4×	85	2.8k
Imed Riadh Farah Tunisia	22	300 0.3×	341 0.5×	130 0.5×	88 0.4×	350 1.8×	137	2.1k

Countries citing papers authored by Deepak Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Gupta

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

Gupta, Deepak, et al.. (2025). Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learning. Engineering Applications of Artificial Intelligence. 145. 110201–110201. 1 indexed citations

Gupta, Deepak, Barenya Bikash Hazarika, Umesh Gupta, & Witold Pedrycz. (2025). A robust fuzzy twin support vector machine with kernel-target alignment for binary classification. Engineering Applications of Artificial Intelligence. 161. 112189–112189.

Gupta, Deepak, Barenya Bikash Hazarika, & Berlin Mohanadhas. (2024). Wavelet kernel large margin distribution machine-based regression for modelling the river suspended sediment load. Computers & Electrical Engineering. 120. 109783–109783. 2 indexed citations

Gupta, Deepak, et al.. (2024). An efficient angle-based twin random vector functional link classifier. Applied Soft Computing. 164. 112005–112005. 3 indexed citations

Gupta, Deepak, et al.. (2023). 1-Norm twin random vector functional link networks based on Universum data for leaf disease detection. Applied Soft Computing. 148. 110850–110850. 9 indexed citations

Hazarika, Barenya Bikash & Deepak Gupta. (2023). Mode decomposition based large margin distribution machines for sediment load prediction. Expert Systems with Applications. 232. 120844–120844. 7 indexed citations

Gupta, Deepak, et al.. (2023). Leaf disease detection using machine learning and deep learning: Review and challenges. Applied Soft Computing. 145. 110534–110534. 116 indexed citations breakdown →

Hazarika, Barenya Bikash, Deepak Gupta, & Parashjyoti Borah. (2023). Robust support vector quantile regression with truncated pinball loss (RSVQR). Computational and Applied Mathematics. 42(6). 8 indexed citations

Arif, Mohammad, et al.. (2023). Evaluation of different row proportions in intercropping of pearl millet and cluster bean for forage yield and quality. Range Management and Agroforestry. 44(1). 126–133. 2 indexed citations

10.

Das, Sreeparna, et al.. (2023). A comprehensive review of COVID-19 detection with machine learning and deep learning techniques. Health and Technology. 13(4). 679–692. 16 indexed citations

11.

Hazarika, Barenya Bikash, Deepak Gupta, & N. Natarajan. (2022). Wavelet kernel least square twin support vector regression for wind speed prediction. Environmental Science and Pollution Research. 29(57). 86320–86336. 18 indexed citations

12.

Yadav, Shweta, Deepak Gupta, Asma Ben Abacha, & Dina Demner‐Fushman. (2022). Question-aware transformer models for consumer health question summarization. Journal of Biomedical Informatics. 128. 104040–104040. 10 indexed citations

13.

Hazarika, Barenya Bikash & Deepak Gupta. (2022). Random vector functional link with ε-insensitive Huber loss function for biomedical data classification. Computer Methods and Programs in Biomedicine. 215. 106622–106622. 27 indexed citations

14.

Gupta, Deepak, N. Natarajan, & Berlin Mohanadhas. (2021). Short-term wind speed prediction using hybrid machine learning techniques. Environmental Science and Pollution Research. 29(34). 50909–50927. 20 indexed citations

15.

Hazarika, Barenya Bikash & Deepak Gupta. (2020). Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks. Applied Soft Computing. 96. 106626–106626. 84 indexed citations

16.

Nguyen, Tien Thanh, et al.. (2020). Word and graph embeddings for covid-19 retweet prediction. 2881. 5–8. 1 indexed citations

17.

Gupta, Deepak, et al.. (2019). Classification of Student's Confusion Level in E-Learning using Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 9(2S). 346–351. 2 indexed citations

18.

Gupta, Deepak, et al.. (2019). Financial time series forecasting using twin support vector regression. PLoS ONE. 14(3). e0211402–e0211402. 46 indexed citations

19.

Richhariya, Bharat, et al.. (2017). A Review on Support Vector Machines for Classification Problems. 9(7). 130–139. 1 indexed citations

20.

Bhatnagar, Sushma, Deepak Gupta, Seema Mishra, Sanjay Thulkar, & Himanshu Chauhan. (2008). Bedside Ultrasound-Guided Celiac Plexus Neurolysis with Bilateral Paramedian Needle Entry Technique can be an Effective Pain Control Technique in Advanced Upper Abdominal Cancer Pain. Journal of Palliative Medicine. 11(9). 1195–1199. 20 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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