Mukesh Kumar Tripathi

537 total citations
27 papers, 285 citations indexed

About

Mukesh Kumar Tripathi is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Mukesh Kumar Tripathi has authored 27 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Analytical Chemistry, 10 papers in Plant Science and 7 papers in Biomedical Engineering. Recurrent topics in Mukesh Kumar Tripathi's work include Spectroscopy and Chemometric Analyses (11 papers), Smart Agriculture and AI (9 papers) and Advanced Chemical Sensor Technologies (6 papers). Mukesh Kumar Tripathi is often cited by papers focused on Spectroscopy and Chemometric Analyses (11 papers), Smart Agriculture and AI (9 papers) and Advanced Chemical Sensor Technologies (6 papers). Mukesh Kumar Tripathi collaborates with scholars based in India and United Kingdom. Mukesh Kumar Tripathi's co-authors include Srinidhi Campli, Shylesha V. Channapattana, A. Madhusudhan, Chellapilla V. K. N. S. N. Moorthy, Vijayashree Murthy, Janjhyam Venkata Naga Ramesh, K. Ram Mohan Rao, Pravin Futane, Raghavendra Kune and K Sangeetha and has published in prestigious journals such as Energy, Multimedia Tools and Applications and Computers & Electrical Engineering.

In The Last Decade

Mukesh Kumar Tripathi

21 papers receiving 239 citations

Peers

Mukesh Kumar Tripathi
Eduardo Piedad Taiwan
Madaín Pérez‐Patricio Mexico
Francis Sévila France
Zhe Tang China
Qiming Song China
Juliana Freitas Santos Gomes Brazil
Ira C. Valenzuela Philippines
Juanhua Zhu China
Guowei Dai China
Lanhui Fu China
Eduardo Piedad Taiwan
Mukesh Kumar Tripathi
Citations per year, relative to Mukesh Kumar Tripathi Mukesh Kumar Tripathi (= 1×) peers Eduardo Piedad

Countries citing papers authored by Mukesh Kumar Tripathi

Since Specialization
Citations

This map shows the geographic impact of Mukesh 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 Mukesh 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 Mukesh Kumar Tripathi more than expected).

Fields of papers citing papers by Mukesh Kumar Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Kumar Tripathi. A scholar is included among the top collaborators of Mukesh 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 Mukesh Kumar Tripathi. Mukesh 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, Mukesh Kumar, et al.. (2025). Hybrid deep learning system for crop disease classification using modified SegNet segmentation. Computers & Electrical Engineering. 127. 110576–110576. 1 indexed citations
2.
Tripathi, Mukesh Kumar, et al.. (2025). Hybrid optimization with constraints handling for combinatorial test case prioritization problems. Network Computation in Neural Systems. 1–31. 1 indexed citations
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Tripathi, Mukesh Kumar, et al.. (2024). Implementing generative adversarial networks for increasing performance of transmission fault classification. Indonesian Journal of Electrical Engineering and Computer Science. 34(2). 1024–1024.
5.
Tripathi, Mukesh Kumar, et al.. (2024). Pothole detection in bituminous road using convolutional neural network with transfer learning. Indonesian Journal of Electrical Engineering and Computer Science. 33(3). 1950–1950. 1 indexed citations
6.
Moorthy, Chellapilla V. K. N. S. N., et al.. (2024). SEM and TEM images’ dehazing using multiscale progressive feature fusion techniques. Indonesian Journal of Electrical Engineering and Computer Science. 33(3). 2007–2007.
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Kune, Raghavendra, et al.. (2024). SWT-PCA-CNN: hyperspectral image classification with multi-stage feature extraction and parameter tuning. Indonesian Journal of Electrical Engineering and Computer Science. 34(1). 59–59.
9.
Tripathi, Mukesh Kumar, et al.. (2024). Unveiling mental health with machine learning and deep learning: Exploring applications and navigating challenges. Multidisciplinary Science Journal. 7(5). 2025250–2025250. 1 indexed citations
10.
Tripathi, Mukesh Kumar, et al.. (2024). Enhanced Breast Cancer Relapse Prediction using Ensemble Learning Techniques. 918–923. 1 indexed citations
11.
Tripathi, Mukesh Kumar, et al.. (2024). Hyperspectral crop image classification via ensemble of classification model with optimal training. 22(4). 627–657. 1 indexed citations
12.
Tripathi, Mukesh Kumar, et al.. (2023). Neutrosophic approach based intelligent system for automatic mango detection. Multimedia Tools and Applications. 83(14). 41761–41783. 10 indexed citations
13.
Tripathi, Mukesh Kumar, et al.. (2023). Identification of mango variety using near infrared spectroscopy. Indonesian Journal of Electrical Engineering and Computer Science. 31(3). 1776–1776. 7 indexed citations
14.
Tripathi, Mukesh Kumar, et al.. (2023). Pothole Detection based on Machine Learning and Deep Learning Models. 1–9. 1 indexed citations
15.
Tripathi, Mukesh Kumar, et al.. (2022). Internal quality assessment of mango fruit: an automated grading system with ensemble classifier. The Imaging Science Journal. 70(4). 253–272. 11 indexed citations
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Tripathi, Mukesh Kumar, et al.. (2021). Optimized deep learning model for mango grading: Hybridizing lion plus firefly algorithm. IET Image Processing. 15(9). 1940–1956. 19 indexed citations
19.
Tripathi, Mukesh Kumar, et al.. (2019). A role of computer vision in fruits and vegetables among various horticulture products of agriculture fields: A survey. Information Processing in Agriculture. 7(2). 183–203. 111 indexed citations
20.

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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