Siddharth Singh Chouhan

2.5k total citations · 2 hit papers
37 papers, 1.4k citations indexed

About

Siddharth Singh Chouhan is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Siddharth Singh Chouhan has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in Siddharth Singh Chouhan's work include Smart Agriculture and AI (17 papers), Leaf Properties and Growth Measurement (12 papers) and Brain Tumor Detection and Classification (7 papers). Siddharth Singh Chouhan is often cited by papers focused on Smart Agriculture and AI (17 papers), Leaf Properties and Growth Measurement (12 papers) and Brain Tumor Detection and Classification (7 papers). Siddharth Singh Chouhan collaborates with scholars based in India, Taiwan and Malta. Siddharth Singh Chouhan's co-authors include Uday Pratap Singh, Sanjeev Jain, Ajay Kaul, Utkarsh Sharma, Rajneesh Kumar Patel, Uday Pratap Singh, Gourav Kumar, Akash Saxena, Rabia Musheer Aziz and Karamjit Bhatia and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Measurement.

In The Last Decade

Siddharth Singh Chouhan

31 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

2019 320 citations Uday Pratap Singh, Siddharth Singh Chouhan et al. IEEE Access profile →
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview

2023 110 citations Uday Pratap Singh, Siddharth Singh Chouhan et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siddharth Singh Chouhan India	17	957	416	227	162	144	37	1.4k
Santi Kumari Behera India	21	1.0k 1.1×	533 1.3×	197 0.9×	55 0.3×	336 2.3×	90	1.8k
Prabira Kumar Sethy India	22	1.1k 1.1×	584 1.4×	214 0.9×	56 0.3×	346 2.4×	105	1.9k
Kemal Adem Türkiye	13	301 0.3×	135 0.3×	159 0.7×	41 0.3×	250 1.7×	47	877
Mahesh Gour India	9	395 0.4×	131 0.3×	168 0.7×	44 0.3×	272 1.9×	11	801
Sweta Jain India	13	400 0.4×	131 0.3×	161 0.7×	44 0.3×	303 2.1×	58	1.1k
Ümit Atila Türkiye	10	498 0.5×	189 0.5×	182 0.8×	16 0.1×	154 1.1×	30	915
Vinay Gautam India	14	595 0.6×	211 0.5×	77 0.3×	19 0.1×	97 0.7×	90	881
Adnan Zeb China	17	513 0.5×	204 0.5×	96 0.4×	28 0.2×	189 1.3×	34	972
Ajay Kaul India	12	313 0.3×	146 0.4×	145 0.6×	27 0.2×	130 0.9×	22	848
Aparajita Ojha India	17	325 0.3×	132 0.3×	417 1.8×	16 0.1×	196 1.4×	64	1.2k

Countries citing papers authored by Siddharth Singh Chouhan

Since Specialization

Citations

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

Fields of papers citing papers by Siddharth Singh Chouhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siddharth Singh Chouhan. 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 Siddharth Singh Chouhan. The network helps show where Siddharth Singh Chouhan may publish in the future.

Co-authorship network of co-authors of Siddharth Singh Chouhan

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

All Works

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20 of 20 papers shown

Patel, Rajneesh Kumar, et al.. (2025). Glaucoma diagnosis using Gabor and entropy coded Sine Cosine integration in adaptive partial swarm optimization-based FAWT. Biomedical Signal Processing and Control. 107. 107832–107832. 1 indexed citations

Chouhan, Siddharth Singh, Uday Pratap Singh, Akash Saxena, Akhilesh Tiwari, & Sanjeev Jain. (2025). Artificial Intelligence and Computer Vision for Ecological Informatics.

Patel, Rajneesh Kumar, et al.. (2024). Mango leaf disease diagnosis using Total Variation Filter Based Variational Mode Decomposition. Computers & Electrical Engineering. 120. 109795–109795. 17 indexed citations

Patel, Rajneesh Kumar, et al.. (2024). Glaucoma diagnosis from fundus images using modified Gauss-Kuzmin-distribution-based Gabor features in 2D-FAWT. Computers & Electrical Engineering. 119. 109538–109538. 19 indexed citations

Chouhan, Siddharth Singh, Uday Pratap Singh, & Sanjeev Jain. (2024). Performance evaluation of different deep learning models used for the purpose of healthy and diseased leaves classification of Cherimoya (Annona Cherimola) plant. Neural Computing and Applications. 37(6). 4531–4544. 11 indexed citations

Deshpande, S.V., et al.. (2024). Transfer Learning with ResNet50 for Enhanced Mammographic Breast Cancer Identification. 58–63. 2 indexed citations

Chouhan, Siddharth Singh, et al.. (2024). An Analysis of Different YOLO Models for Real-Time Object Detection. 951–955. 5 indexed citations

Chouhan, Siddharth Singh, et al.. (2024). An Approach for Classification of Brain Tumor using Fully Connected Deep Convolutional Neural Network. 1306–1311.

Chouhan, Siddharth Singh, et al.. (2024). Leveraging Deep Learning for the Identification and Categorization of Fruit Diseases. 1–6. 4 indexed citations

10.

Bhatia, Karamjit, et al.. (2024). Hybrid Approach of Cotton Disease Detection for Enhanced Crop Health and Yield. IEEE Access. 12. 132495–132507. 23 indexed citations

11.

Singh, Uday Pratap, et al.. (2023). Brain Tumor Classification Using ML and DL Approaches. 204–208. 14 indexed citations

12.

Singh, Uday Pratap, et al.. (2023). A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor. Multimedia Tools and Applications. 83(8). 23929–23966. 23 indexed citations

13.

Chouhan, Siddharth Singh, Uday Pratap Singh, & Sanjeev Jain. (2021). Automated Plant Leaf Disease Detection and Classification Using Fuzzy Based Function Network. Wireless Personal Communications. 121(3). 1757–1779. 64 indexed citations

14.

Chouhan, Siddharth Singh. (2020). A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology. Data Archiving and Networked Services (DANS). 4. 15 indexed citations

15.

Singh, Uday Pratap, Siddharth Singh Chouhan, & Sanjeev Jain. (2020). Images as graphical password: verification and analysis using non-regular low-density parity check coding. International Journal of Information Technology. 10 indexed citations

16.

Chouhan, Siddharth Singh, Uday Pratap Singh, Ajay Kaul, & Sanjeev Jain. (2019). A Data Repository of Leaf Images: Practice towards Plant Conservation with Plant Pathology. 700–707. 53 indexed citations

17.

Chouhan, Siddharth Singh, Uday Pratap Singh, & Sanjeev Jain. (2019). Applications of Computer Vision in Plant Pathology: A Survey. Archives of Computational Methods in Engineering. 27(2). 611–632. 127 indexed citations

18.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2019). Image segmentation using fuzzy competitive learning based counter propagation network. Multimedia Tools and Applications. 78(24). 35263–35287. 15 indexed citations

19.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2019). A deep learning approach for the classification of diseased plant leaf images. 1168–1172. 15 indexed citations

20.

Chouhan, Siddharth Singh, Ajay Kaul, & Uday Pratap Singh. (2018). Soft computing approaches for image segmentation: a survey. Multimedia Tools and Applications. 77(21). 28483–28537. 82 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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