Shiv Ram Dubey

7.4k total citations · 4 hit papers
69 papers, 4.7k citations indexed

About

Shiv Ram Dubey is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Shiv Ram Dubey has authored 69 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Plant Science. Recurrent topics in Shiv Ram Dubey's work include Advanced Image and Video Retrieval Techniques (23 papers), Image Retrieval and Classification Techniques (21 papers) and Smart Agriculture and AI (12 papers). Shiv Ram Dubey is often cited by papers focused on Advanced Image and Video Retrieval Techniques (23 papers), Image Retrieval and Classification Techniques (21 papers) and Smart Agriculture and AI (12 papers). Shiv Ram Dubey collaborates with scholars based in India, United States and Taiwan. Shiv Ram Dubey's co-authors include B.B. Chaudhuri, Satish Kumar Singh, Swalpa Kumar Roy, Anand Singh Jalal, Rajat Kumar Singh, Snehasis Mukherjee, S. H. Shabbeer Basha, P. Viswanath, Nishant Singh and Jay Prakash Gupta and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Shiv Ram Dubey

68 papers receiving 4.6k citations

Hit Papers

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyp... 2019 2026 2021 2023 2019 2022 2019 2021 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Ram Dubey India 31 1.9k 1.6k 885 825 642 69 4.7k
Filiberto Pla Spain 29 1.4k 0.8× 2.0k 1.2× 1.2k 1.4× 564 0.7× 269 0.4× 139 4.5k
Yakoub Bazi Saudi Arabia 40 2.2k 1.2× 2.6k 1.6× 1.3k 1.4× 1.5k 1.8× 238 0.4× 150 6.7k
Juan M. Haut Spain 32 1.7k 0.9× 3.9k 2.4× 2.1k 2.4× 611 0.7× 151 0.2× 100 5.0k
Qilong Wang China 21 4.3k 2.3× 1.2k 0.8× 254 0.3× 1.9k 2.3× 413 0.6× 67 7.3k
Jing‐Hao Xue United Kingdom 36 2.8k 1.5× 1.1k 0.7× 174 0.2× 1.0k 1.2× 268 0.4× 185 4.7k
Yanfeng Gu China 31 2.2k 1.2× 4.3k 2.7× 2.5k 2.8× 762 0.9× 119 0.2× 204 6.2k
Yunsong Li China 49 3.8k 2.0× 5.4k 3.4× 1.6k 1.8× 1.1k 1.3× 139 0.2× 421 8.5k
Yong Ma China 36 3.5k 1.9× 4.1k 2.6× 701 0.8× 396 0.5× 117 0.2× 200 6.8k
Saurabh Prasad United States 33 1.6k 0.8× 3.9k 2.4× 2.0k 2.3× 763 0.9× 78 0.1× 139 5.3k

Countries citing papers authored by Shiv Ram Dubey

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Ram Dubey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiv Ram Dubey. 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 Shiv Ram Dubey. The network helps show where Shiv Ram Dubey may publish in the future.

Co-authorship network of co-authors of Shiv Ram Dubey

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Ram Dubey. A scholar is included among the top collaborators of Shiv Ram Dubey 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 Shiv Ram Dubey. Shiv Ram Dubey 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.
Dubey, Shiv Ram, et al.. (2025). Non-uniform Illumination Attack for Fooling Convolutional Neural Networks. IEEE Transactions on Artificial Intelligence. 6(9). 2476–2485.
2.
Dubey, Shiv Ram, et al.. (2025). PTSR: A patch-based translator model for image super-resolution. Pattern Recognition Letters. 195. 73–79. 1 indexed citations
3.
Basha, S. H. Shabbeer, et al.. (2024). Target aware network architecture search and compression for efficient knowledge transfer. Multimedia Systems. 30(2). 2 indexed citations
4.
Singh, Satish Kumar, et al.. (2024). ETransCap: efficient transformer for image captioning. Applied Intelligence. 54(21). 10748–10762. 4 indexed citations
5.
Turlapaty, Anish C., et al.. (2023). EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 10 indexed citations
6.
Singh, Satish Kumar, et al.. (2022). MobileAR-GAN: MobileNet-Based Efficient Attentive Recurrent Generative Adversarial Network for Infrared-to-Visual Transformations. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 8 indexed citations
7.
Dubey, Shiv Ram, et al.. (2021). LEDNet: Deep Learning-Based Ground Sensor Data Monitoring System. IEEE Sensors Journal. 22(1). 842–850. 11 indexed citations
8.
Roy, Swalpa Kumar, Juan M. Haut, Mercedes E. Paoletti, Shiv Ram Dubey, & Antonio Plaza. (2021). Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 81 indexed citations
9.
Dubey, Shiv Ram, et al.. (2020). CSGAN: Cyclic-Synthesized Generative Adversarial Networks for image-to-image transformation. Expert Systems with Applications. 169. 114431–114431. 29 indexed citations
10.
Roy, Swalpa Kumar, et al.. (2019). HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 17(2). 277–281. 1296 indexed citations breakdown →
11.
Dubey, Shiv Ram. (2019). Local directional relation pattern for unconstrained and robust face retrieval. Multimedia Tools and Applications. 78(19). 28063–28088. 36 indexed citations
12.
Dubey, Shiv Ram, Soumendu Chakraborty, Swalpa Kumar Roy, et al.. (2019). diffGrad: An Optimization Method for Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4500–4511. 185 indexed citations
13.
Roy, Swalpa Kumar, Bhabatosh Chanda, B.B. Chaudhuri, Dipak Ghosh, & Shiv Ram Dubey. (2018). Local morphological pattern: A scale space shape descriptor for texture classification. Digital Signal Processing. 82. 152–165. 16 indexed citations
14.
Dubey, Shiv Ram, Satish Kumar Singh, & Rajat Kumar Singh. (2016). Multichannel Decoded Local Binary Patterns for Content-Based Image Retrieval. IEEE Transactions on Image Processing. 25(9). 4018–4032. 149 indexed citations
15.
Dubey, Shiv Ram, Satish Kumar Singh, & Rajat Kumar Singh. (2016). Novel local bit‐plane dissimilarity pattern for computed tomography image retrieval. Electronics Letters. 52(15). 1290–1292. 14 indexed citations
16.
Dubey, Shiv Ram & Anand Singh Jalal. (2014). Application of Image Processing in Fruit and Vegetable Analysis: A Review. Journal of Intelligent Systems. 24(4). 405–424. 58 indexed citations
17.
Dubey, Shiv Ram, Satish Kumar Singh, & Rajat Kumar Singh. (2014). Rotation and Illumination Invariant Interleaved Intensity Order-Based Local Descriptor. IEEE Transactions on Image Processing. 23(12). 5323–5333. 41 indexed citations
18.
Dubey, Shiv Ram & Anand Singh Jalal. (2014). Fruit disease recognition using improved sum and difference histogram from images. 1(2). 199–199. 22 indexed citations
19.
Dubey, Shiv Ram & Anand Singh Jalal. (2014). Fusing Color and Texture Cues to Identify the Fruit Diseases Using Images. 4(2). 52–67. 8 indexed citations
20.
Singh, Nishant, et al.. (2012). Semantic Image Retrieval by Combining Color, Texture and Shape Features. 116–120. 23 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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