Krishna Kumar Mohbey

1.3k total citations
56 papers, 640 citations indexed

About

Krishna Kumar Mohbey is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Krishna Kumar Mohbey has authored 56 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Information Systems and 14 papers in Signal Processing. Recurrent topics in Krishna Kumar Mohbey's work include Recommender Systems and Techniques (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Data Mining Algorithms and Applications (10 papers). Krishna Kumar Mohbey is often cited by papers focused on Recommender Systems and Techniques (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Data Mining Algorithms and Applications (10 papers). Krishna Kumar Mohbey collaborates with scholars based in India and Saudi Arabia. Krishna Kumar Mohbey's co-authors include Gaurav Meena, Sunil Kumar, Mohammad Zubair Khan, Dharmendra Singh Rajput, Shilpi Yadav, Harmanpreet Singh, Sandeep V. Gaikwad, Harish Gadhavi, Shyam Lal and Chinmay Mallik and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Krishna Kumar Mohbey

46 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishna Kumar Mohbey India 17 295 156 115 93 69 56 640
Thanaruk Theeramunkong Thailand 18 505 1.7× 190 1.2× 126 1.1× 23 0.2× 80 1.2× 117 919
Daling Wang China 16 713 2.4× 119 0.8× 198 1.7× 59 0.6× 53 0.8× 78 911
Lin Yue China 12 501 1.7× 153 1.0× 52 0.5× 18 0.2× 23 0.3× 31 736
Huahu Xu China 14 282 1.0× 268 1.7× 149 1.3× 36 0.4× 58 0.8× 59 790
Saman Forouzandeh Australia 15 483 1.6× 198 1.3× 188 1.6× 14 0.2× 39 0.6× 24 917
Yequan Wang China 9 1.5k 5.2× 202 1.3× 114 1.0× 47 0.5× 76 1.1× 26 1.8k
Negin Samadi Iran 9 228 0.8× 57 0.4× 48 0.4× 39 0.4× 32 0.5× 20 558
Wenjun Wang China 14 286 1.0× 111 0.7× 105 0.9× 22 0.2× 44 0.6× 122 757

Countries citing papers authored by Krishna Kumar Mohbey

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kumar Mohbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Kumar Mohbey

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kumar Mohbey. A scholar is included among the top collaborators of Krishna Kumar Mohbey 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 Krishna Kumar Mohbey. Krishna Kumar Mohbey 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.
Mohbey, Krishna Kumar, et al.. (2025). Advanced Optimization for Big Data Streams with Quantum Insights for Real-time Big Data Analytics. ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. 14. e32876–e32876.
2.
Meena, Gaurav, et al.. (2025). Identifying Malicious URLs Using Deep Learning based VGG16 Architecture with Transfer Learning Method. Procedia Computer Science. 260. 1089–1097.
3.
Mohbey, Krishna Kumar, et al.. (2024). Time-aware cross-domain point-of-interest recommendation in social networks. Engineering Applications of Artificial Intelligence. 139. 109630–109630. 6 indexed citations
4.
Mohbey, Krishna Kumar, et al.. (2024). Mitigating class imbalance in heart disease detection with machine learning. Multimedia Tools and Applications. 84(30). 36497–36522. 5 indexed citations
5.
Meena, Gaurav, et al.. (2024). FSTL-SA: few-shot transfer learning for sentiment analysis from facial expressions. Multimedia Tools and Applications. 84(21). 24457–24485. 4 indexed citations
6.
Mohbey, Krishna Kumar, et al.. (2024). Recency-based spatio-temporal similarity exploration for POI recommendation in location-based social networks. Frontiers in Sustainable Cities. 6.
7.
Rajput, Dharmendra Singh, et al.. (2023). Fault prediction using fuzzy convolution neural network on IoT environment with heterogeneous sensing data fusion. Measurement Sensors. 26. 100701–100701. 17 indexed citations
8.
Yadav, Shilpi, et al.. (2023). How can we create a recommender system for tourism? A location centric spatial binning-based methodology using social networks. International Journal of Information Management Data Insights. 3(1). 100161–100161. 21 indexed citations
9.
Singh, Harmanpreet, et al.. (2023). Facial emotion recognition and music recommendation system using CNN-based deep learning techniques. Evolving Systems. 15(2). 641–658. 27 indexed citations
10.
Meena, Gaurav, et al.. (2023). An improved convolutional neural network-based model for detecting brain tumors from augmented MRI images. Journal of Autonomous Intelligence. 6(1). 14 indexed citations
11.
Meena, Gaurav, Krishna Kumar Mohbey, & Mehul Mahrishi. (2023). A Machine Learning-Based Approach to Analyze Public Sentiment on Indian New Education Policy 2020. 1–5.
12.
Mohbey, Krishna Kumar, et al.. (2023). A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets. New Generation Computing. 42(1). 89–107. 46 indexed citations
13.
Meena, Gaurav, et al.. (2023). Correction to: Image-Based Sentiment Analysis Using InceptionV3 Transfer Learning Approach. SN Computer Science. 4(4). 2 indexed citations
14.
Mohbey, Krishna Kumar, et al.. (2023). Differential Privacy-Based Social Network Detection Over Spatio-Temporal Proximity for Secure POI Recommendation. SN Computer Science. 4(3). 16 indexed citations
15.
Meena, Gaurav & Krishna Kumar Mohbey. (2023). Sentiment analysis on images using different transfer learning models. Procedia Computer Science. 218. 1640–1649. 21 indexed citations
16.
Mohbey, Krishna Kumar, et al.. (2023). Basics of Python Programming: A Quick Guide for Beginners. BENTHAM SCIENCE PUBLISHERS eBooks.
17.
Mohbey, Krishna Kumar, et al.. (2022). Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images. New Generation Computing. 41(1). 61–84. 3 indexed citations
18.
Mohbey, Krishna Kumar, et al.. (2020). Comparative Analysis of a Deep Learning Approach with VariousClassification Techniques for Credit Score Computation. Recent Advances in Computer Science and Communications. 14(9). 2785–2799. 6 indexed citations
19.
Mohbey, Krishna Kumar. (2018). Frequent Pattern Mining Approach for a Mobile Web Service Environment Using Service Utility. Journal of theoretical and applied electronic commerce research. 14(3). 76–88.
20.
Mohbey, Krishna Kumar, et al.. (2013). An Experimental Survey on Single Linkage Clustering. International Journal of Computer Applications. 76(17). 6–11. 10 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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