Ashish Kumar Tripathi

1.6k total citations · 2 hit papers
44 papers, 1000 citations indexed

About

Ashish Kumar Tripathi is a scholar working on Artificial Intelligence, Plant Science and Information Systems. According to data from OpenAlex, Ashish Kumar Tripathi has authored 44 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Plant Science and 10 papers in Information Systems. Recurrent topics in Ashish Kumar Tripathi's work include Smart Agriculture and AI (11 papers), Metaheuristic Optimization Algorithms Research (8 papers) and IoT and Edge/Fog Computing (5 papers). Ashish Kumar Tripathi is often cited by papers focused on Smart Agriculture and AI (11 papers), Metaheuristic Optimization Algorithms Research (8 papers) and IoT and Edge/Fog Computing (5 papers). Ashish Kumar Tripathi collaborates with scholars based in India, South Korea and Saudi Arabia. Ashish Kumar Tripathi's co-authors include Himanshu Mittal, Vivek Sharma, Kapil Sharma, Manju Bala, Avinash Chandra Pandey, Raju Pal, Vivek Kumar Sharma, Sachin Kumar Gupta, Varun G. Menon and Akshi Kumar and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Industrial Informatics and Computers and Electronics in Agriculture.

In The Last Decade

Ashish Kumar Tripathi

41 papers receiving 959 citations

Hit Papers

Technological revolutions in smart farming: Current trend... 2022 2026 2023 2024 2022 2023 50 100 150

Peers

Ashish Kumar Tripathi
Sultan H. Almotiri Saudi Arabia
Dewei Yi United Kingdom
Waleed Albattah Saudi Arabia
Jaya Sil India
Ajay Kaul India
Amr Badr Egypt
Ashish Kumar Tripathi
Citations per year, relative to Ashish Kumar Tripathi Ashish Kumar Tripathi (= 1×) peers S. P. Raja

Countries citing papers authored by Ashish Kumar Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Kumar Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Kumar Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Kumar Tripathi. A scholar is included among the top collaborators of Ashish Kumar Tripathi 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 Ashish Kumar Tripathi. Ashish Kumar Tripathi 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.
Tripathi, Ashish Kumar, et al.. (2025). Automated floating debris monitoring using optical satellite imagery and artificial intelligence: Recent trends, challenges and opportunities. Remote Sensing Applications Society and Environment. 37. 101475–101475. 1 indexed citations
2.
Gupta, Sachin Kumar, Ashish Kumar Tripathi, & Lewis Nkenyereye. (2025). Pre-trained noise based unsupervised GAN for fruit disease classification in imbalanced datasets. Pattern Analysis and Applications. 28(2). 4 indexed citations
3.
Tripathi, Ashish Kumar, et al.. (2025). Investigating the impact of sentiments on stock market using digital proxies: Current trends, challenges, and future directions. Expert Systems with Applications. 285. 127864–127864. 1 indexed citations
4.
Tripathi, Ashish Kumar, et al.. (2025). Efficient floating debris classification using a modified Vision Transformer and Sentinel-2 imagery. Remote Sensing Applications Society and Environment. 38. 101610–101610.
5.
Tripathi, Ashish Kumar, et al.. (2024). An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing. Environmental Modelling & Software. 181. 106178–106178. 4 indexed citations
6.
Tripathi, Ashish Kumar, et al.. (2024). WasteNet: A novel multi-scale attention-based U-Net architecture for waste detection in UAV images. Remote Sensing Applications Society and Environment. 35. 101220–101220. 3 indexed citations
7.
Tripathi, Ashish Kumar, et al.. (2024). Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing. Computers & Geosciences. 191. 105676–105676. 4 indexed citations
8.
Sharma, Vivek, Ashish Kumar Tripathi, Himanshu Mittal, & Lewis Nkenyereye. (2024). SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis. Expert Systems with Applications. 260. 125385–125385. 20 indexed citations
9.
Gupta, Sachin Kumar & Ashish Kumar Tripathi. (2024). Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities. Engineering Applications of Artificial Intelligence. 133. 108260–108260. 38 indexed citations
10.
Tripathi, Ashish Kumar, et al.. (2024). A Federated Generative Adversarial Network With SSIM-PSNR-Based Weight Aggregation for Consumer Electronics Waste. IEEE Transactions on Consumer Electronics. 70(3). 6208–6215. 2 indexed citations
11.
Gupta, Sachin Kumar & Ashish Kumar Tripathi. (2024). Flora-NET: Integrating dual coordinate attention with adaptive kernel based convolution network for medicinal flower identification. Computers and Electronics in Agriculture. 230. 109834–109834. 5 indexed citations
12.
Sharma, Vivek, Ashish Kumar Tripathi, & Himanshu Mittal. (2023). DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection. Ecological Informatics. 75. 102025–102025. 91 indexed citations breakdown →
13.
Sharma, Vivek, Ashish Kumar Tripathi, & Himanshu Mittal. (2023). CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases. 178–182. 5 indexed citations
14.
Tripathi, Ashish Kumar, et al.. (2023). A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities. Wireless Personal Communications. 129(3). 2157–2180. 23 indexed citations
15.
16.
Singh, Arun Kumar, et al.. (2020). Research and Challenges of Security & Privacy in Internet of Things (IoT). 487–492. 1 indexed citations
17.
Tripathi, Ashish Kumar, Kapil Sharma, & Manju Bala. (2018). A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce. Big Data Research. 14. 93–100. 88 indexed citations
18.
Kumar, Sanjay, et al.. (2016). Application of artificial BEE colony algorithm using Hadoop. International Conference on Computing for Sustainable Global Development. 3615–3619. 4 indexed citations
19.
Tripathi, Ashish Kumar, et al.. (2015). Analysis and Ranking of Software Engineering metrics. International Conference on Computing for Sustainable Global Development. 1654–1659. 3 indexed citations
20.
Tripathi, Ashish Kumar & Kapil Sharma. (2015). Improving software quality based on relationship among the change proneness and object oriented metrics. International Conference on Computing for Sustainable Global Development. 1633–1636. 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.

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