Ashwani Kumar

2.5k total citations · 1 hit paper
70 papers, 1.2k citations indexed

About

Ashwani Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ashwani Kumar has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Ashwani Kumar's work include Advanced Steganography and Watermarking Techniques (12 papers), Bioinformatics and Genomic Networks (9 papers) and Chaos-based Image/Signal Encryption (8 papers). Ashwani Kumar is often cited by papers focused on Advanced Steganography and Watermarking Techniques (12 papers), Bioinformatics and Genomic Networks (9 papers) and Chaos-based Image/Signal Encryption (8 papers). Ashwani Kumar collaborates with scholars based in India, United States and Canada. Ashwani Kumar's co-authors include Zuopeng Zhang, Mohit Kumar, Sahil Verma, Pronaya Bhattacharya, Tiratha Raj Singh, Sadhna Phanse, Mohan Babu, James Vlasblom, Kavita Kavita and Vipin Tyagi and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Scientific Reports.

In The Last Decade

Ashwani Kumar

66 papers receiving 1.1k citations

Hit Papers

Healthcare Internet of Things (H-IoT): Current Trends, Fu... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwani Kumar India 18 313 276 166 164 150 70 1.2k
Minghong Liao China 15 433 1.4× 160 0.6× 134 0.8× 68 0.4× 58 0.4× 82 938
Dariusz Mrozek Poland 16 242 0.8× 103 0.4× 129 0.8× 59 0.4× 81 0.5× 74 755
Jian Yu China 19 276 0.9× 401 1.5× 591 3.6× 220 1.3× 109 0.7× 91 1.6k
Xia Liu China 17 167 0.5× 203 0.7× 100 0.6× 49 0.3× 77 0.5× 103 848
Xiang Chen China 17 137 0.4× 105 0.4× 198 1.2× 63 0.4× 132 0.9× 76 1.1k
Yiran Zhao China 19 170 0.5× 732 2.7× 444 2.7× 288 1.8× 74 0.5× 88 1.7k
Tong Li China 18 76 0.2× 114 0.4× 363 2.2× 123 0.8× 215 1.4× 103 1.1k
Xin Hong China 18 306 1.0× 474 1.7× 175 1.1× 124 0.8× 59 0.4× 116 1.2k
Shuhong Chen China 22 126 0.4× 145 0.5× 375 2.3× 81 0.5× 132 0.9× 96 1.3k

Countries citing papers authored by Ashwani Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashwani Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwani Kumar

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

All Works

20 of 20 papers shown
1.
Kumar, Ashwani, et al.. (2024). Anomaly detection framework for highly scattered and dynamic data on large-scale networks using AWS. International Journal of Information Technology. 3 indexed citations
2.
Kumar, Ashwani, et al.. (2024). A novel skin cancer detection model using modified finch deep CNN classifier model. Scientific Reports. 14(1). 11235–11235. 8 indexed citations
3.
Kumar, Mohit, Ashwani Kumar, Sahil Verma, et al.. (2023). Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics. 12(9). 2050–2050. 79 indexed citations breakdown →
4.
Kumar, Ashwani, et al.. (2023). Network Anomaly Detection using Autoencoder on Various Datasets: AComprehensive Review. Recent Patents on Engineering. 18(9). 7 indexed citations
6.
Kumar, Ashwani, Mohit Kumar, Rajendra Prasad Mahapatra, et al.. (2023). Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification. Sensors. 23(9). 4353–4353. 10 indexed citations
7.
Kumar, Ashwani, et al.. (2022). An Artificial Intelligence-Based Reactive Health Care System for Emotion Detections. Computational Intelligence and Neuroscience. 2022. 1–6. 7 indexed citations
8.
Kumar, Mohit, et al.. (2022). Feature Extraction Approach for Speaker Verification to Support Healthcare System Using Blockchain Security for Data Privacy. Computational and Mathematical Methods in Medicine. 2022. 1–12. 10 indexed citations
9.
10.
Kumar, Ashwani, et al.. (2022). Smart Healthcare: Disease Prediction Using the Cuckoo-Enabled Deep Classifier in IoT Framework. Scientific Programming. 2022. 1–11. 13 indexed citations
11.
Kumar, Ashwani. (2022). A cloud-based buyer-seller watermarking protocol (CB-BSWP) using semi-trusted third party for copy deterrence and privacy preserving. Multimedia Tools and Applications. 81(15). 21417–21448. 15 indexed citations
12.
Kumar, Mohit, Kavita Kavita, Sahil Verma, et al.. (2022). ANAF-IoMT: A Novel Architectural Framework for IoMT-Enabled Smart Healthcare System by Enhancing Security Based on RECC-VC. IEEE Transactions on Industrial Informatics. 18(12). 8936–8943. 65 indexed citations
13.
Chandan, Gourav, Ashwani Kumar, Gurdarshan Singh, et al.. (2021). Evaluation of analgesic and anti-inflammatory activities and molecular docking analysis of steroidal lactones from Datura stramonium L.. Phytomedicine. 89. 153621–153621. 20 indexed citations
14.
Kumar, Ashwani. (2019). Design of Secure Image Fusion Technique Using Cloud for Privacy-Preserving and Copyright Protection. International Journal of Cloud Applications and Computing. 9(3). 22–36. 50 indexed citations
15.
Rizzolo, Kamran, Ashwani Kumar, Yoshito Kakihara, et al.. (2018). Systems analysis of the genetic interaction network of yeast molecular chaperones. Molecular Omics. 14(2). 82–94. 13 indexed citations
16.
Rizzolo, Kamran, Jennifer Huen, Ashwani Kumar, et al.. (2017). Features of the Chaperone Cellular Network Revealed through Systematic Interaction Mapping. Cell Reports. 20(11). 2735–2748. 44 indexed citations
17.
Kumar, Ashwani, Natalia Beloglazova, Cedoljub Bundalovic-Torma, et al.. (2016). Conditional Epistatic Interaction Maps Reveal Global Functional Rewiring of Genome Integrity Pathways in Escherichia coli. Cell Reports. 14(3). 648–661. 29 indexed citations
18.
Kumar, Ashwani & Tiratha Raj Singh. (2016). A New Decision Tree to Solve the Puzzle of Alzheimer’s Disease Pathogenesis Through Standard Diagnosis Scoring System. Interdisciplinary Sciences Computational Life Sciences. 9(1). 107–115. 15 indexed citations
19.
Kumar, Ashwani & Tiratha Raj Singh. (2013). A quantitative study of gene regulatory pathways in Bacillus subtilis for virulence and competence phenotype by quorum sensing. PubMed. 7(1-2). 33–39. 8 indexed citations
20.
Kumar, Ashwani. (2012). Security Attacks in Manet - A Review. 7 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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