Yogesh Kumar

4.3k total citations · 1 hit paper
130 papers, 2.0k citations indexed

About

Yogesh Kumar is a scholar working on Artificial Intelligence, Health Information Management and Computer Networks and Communications. According to data from OpenAlex, Yogesh Kumar has authored 130 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 28 papers in Health Information Management and 25 papers in Computer Networks and Communications. Recurrent topics in Yogesh Kumar's work include Artificial Intelligence in Healthcare (27 papers), COVID-19 diagnosis using AI (16 papers) and AI in cancer detection (14 papers). Yogesh Kumar is often cited by papers focused on Artificial Intelligence in Healthcare (27 papers), COVID-19 diagnosis using AI (16 papers) and AI in cancer detection (14 papers). Yogesh Kumar collaborates with scholars based in India, Saudi Arabia and Australia. Yogesh Kumar's co-authors include Apeksha Koul, Surbhi Gupta, Yu‐Chen Hu, Muhammad Fazal Ijaz, Sukhpreet Kaur, Surabhi Kaul, Ruchi Singla, Anish Gupta, Jana Shafi and Munish Kumar and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Yogesh Kumar

113 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.

A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges

2022 96 citations Yogesh Kumar, Apeksha Koul et al. Archives of Computational Methods in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yogesh Kumar India	27	683	332	290	272	258	130	2.0k
Parvathaneni Naga Srinivasu India	21	673 1.0×	385 1.2×	274 0.9×	168 0.6×	193 0.7×	56	1.8k
Prashant Kumar Shukla India	26	573 0.8×	272 0.8×	374 1.3×	254 0.9×	94 0.4×	91	2.4k
Jyotir Moy Chatterjee India	19	590 0.9×	279 0.8×	430 1.5×	222 0.8×	145 0.6×	68	2.2k
Shtwai Alsubai Saudi Arabia	20	504 0.7×	354 1.1×	240 0.8×	174 0.6×	119 0.5×	182	1.5k
Liaqat Ali Pakistan	24	906 1.3×	152 0.5×	246 0.8×	330 1.2×	521 2.0×	60	2.2k
T R Mahesh India	21	529 0.8×	235 0.7×	309 1.1×	124 0.5×	169 0.7×	163	1.4k
Mahmoud Y. Shams Egypt	26	529 0.8×	252 0.8×	241 0.8×	93 0.3×	133 0.5×	70	1.7k
Ramesh Chandra Poonia India	22	449 0.7×	255 0.8×	216 0.7×	312 1.1×	105 0.4×	129	1.7k
Soumya Ranjan Nayak India	24	619 0.9×	429 1.3×	439 1.5×	261 1.0×	70 0.3×	123	1.9k
Asif Karim Australia	24	910 1.3×	282 0.8×	536 1.8×	286 1.1×	380 1.5×	81	2.1k

Countries citing papers authored by Yogesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Yogesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yogesh Kumar

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

Arora, Bhavna, et al.. (2025). Design and development of Dogri extractive summarization model for automated summary generation. International Journal on Digital Libraries. 26(1).

Kumar, Yogesh, et al.. (2024). A review of privacy-preserving machine learning algorithms and systems. 220–225. 1 indexed citations

Nair, Pranav, Vinay Vakharia, Milind Shah, et al.. (2024). AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. International Journal of Intelligent Systems. 2024. 1–18. 47 indexed citations

Kumar, Yogesh, et al.. (2024). Automating cancer diagnosis using advanced deep learning techniques for multi-cancer image classification. Scientific Reports. 14(1). 25006–25006. 15 indexed citations

Kumar, Yogesh, et al.. (2024). Automated detection and recognition system for chewable food items using advanced deep learning models. Scientific Reports. 14(1). 6589–6589. 5 indexed citations

Sandhu, Jasminder Kaur, et al.. (2024). Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning. Service Oriented Computing and Applications. 18(2). 163–182. 11 indexed citations

Kumar, Ashish, et al.. (2023). A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs. Archives of Computational Methods in Engineering. 30(6). 3867–3889. 19 indexed citations

Parthasarathi, Pavithra, et al.. (2023). A Review on Prediction and Prognosis of the Prostate Cancer and Gleason Grading of Prostatic Carcinoma Using Deep Transfer Learning Based Approaches. Archives of Computational Methods in Engineering. 30(5). 3113–3132. 18 indexed citations

Kumar, Yogesh, et al.. (2023). Detection and Diagnosis of Different Types of Obesity Using Machine Learning-Based Approaches. 1–7. 2 indexed citations

10.

Kumar, Yogesh, et al.. (2023). Advanced deep learning techniques for early disease prediction in cauliflower plants. Scientific Reports. 13(1). 18475–18475. 38 indexed citations

11.

Kumar, Yogesh, et al.. (2023). Radix-4 CORDIC algorithm based low-latency and hardware efficient VLSI architecture for Nth root and Nth power computations. Scientific Reports. 13(1). 20918–20918. 4 indexed citations

12.

Kumar, Raghvendra, et al.. (2022). Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System. IEEE Access. 10. 42044–42060. 32 indexed citations

13.

Kumar, Yogesh, Apeksha Koul, Pushpendra Singh Sisodia, et al.. (2021). Heart Failure Detection Using Quantum‐Enhanced Machine Learning and Traditional Machine Learning Techniques for Internet of Artificially Intelligent Medical Things. Wireless Communications and Mobile Computing. 2021(1). 60 indexed citations

14.

Bhushan, Shashi, Yogesh Kumar, Abu ul Hassan S. Rana, et al.. (2021). An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm. Sensors. 21(5). 1583–1583. 68 indexed citations

15.

Panigrahi, Ranjit, Samarjeet Borah, Akash Kumar Bhoi, et al.. (2021). A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets. Mathematics. 9(7). 751–751. 113 indexed citations

16.

Kumar, Yogesh & Manish Mahajan. (2019). Machine Learning Based Speech Emotions Recognition System. International journal of scientific and technology research. 8(7). 722–729. 13 indexed citations

17.

Kumar, Yogesh & Manish Mahajan. (2019). Intelligent Behavior Of Fog Computing With IOT For Healthcare System. International journal of scientific and technology research. 8(7). 674–679. 18 indexed citations

18.

Lodha, Pragya, et al.. (2018). Incentives of Female Offenders in Criminal Behavior: An Indian Perspective. Violence and Gender. 5(4). 202–208. 1 indexed citations

19.

Kumar, Yogesh, et al.. (2016). AI based Hybrid Ensemble Technique for Network Security. 1–10. 3 indexed citations

20.

Kumar, Yogesh, et al.. (2015). Comparative analysis of automated functional testing tools. Journal of Emerging Technologies and Innovative Research. 2(9). 42-48–42-48. 4 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.

Explore authors with similar magnitude of impact