Sunil Kumar Jha

712 total citations · 1 hit paper
10 papers, 511 citations indexed

About

Sunil Kumar Jha is a scholar working on Plant Science, Ecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sunil Kumar Jha has authored 10 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Ecology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Sunil Kumar Jha's work include Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (6 papers) and Advanced Steganography and Watermarking Techniques (1 paper). Sunil Kumar Jha is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Smart Agriculture and AI (6 papers) and Advanced Steganography and Watermarking Techniques (1 paper). Sunil Kumar Jha collaborates with scholars based in India, Australia and China. Sunil Kumar Jha's co-authors include Shyamal S. Virnodkar, Vinod Pachghare, V. C. Patil, Wenfang Zhang, Xiaorui Zhang, Wei Sun, Jie Zhou, Wei Sun, Xiaorui Zhang and Veena Desai and has published in prestigious journals such as Remote Sensing, Precision Agriculture and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Sunil Kumar Jha

8 papers receiving 429 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.

Remote sensing and machine learning for crop water stress determination in various crops: a critical review

2020 215 citations Shyamal S. Virnodkar, Vinod Pachghare et al. Precision Agriculture profile →

Peers

Sunil Kumar Jha

PS

ECOLO

AI

CVPR

EE

Jin Yu China

Niketa Gandhi India

Amol D. Vibhute India

Tawseef Ayoub Shaikh India

Martin Weis Germany

Yurong Qian China

Xijian Fan China

J Aravinth India

Barenya Bikash Hazarika India

Ignazio Gallo Italy

Jin Yu China

Sunil Kumar Jha

160 ×0.9

PS

181 ×1.4

ECOLO

90 ×1.0

AI

103 ×1.2

CVPR

94 ×1.6

EE

Citations per year, relative to Sunil Kumar Jha Sunil Kumar Jha (= 1×) peers Jin Yu

Countries citing papers authored by Sunil Kumar Jha

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Kumar Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Kumar Jha

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

All Works

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10 of 10 papers shown

1.

Jha, Sunil Kumar, James Brinkhoff, Andrew Robson, & Brian W. Dunn. (2025). Integrating Remote Sensing and Weather Time Series for Australian Irrigated Rice Phenology Prediction. Remote Sensing. 17(17). 3050–3050.

2.

Desai, Veena, et al.. (2024). Field-level sugarcane yield estimation utilizing Sentinel-2 time-series and machine learning. Indonesian Journal of Electrical Engineering and Computer Science. 37(1). 475–475.

3.

Jha, Sunil Kumar, et al.. (2023). Estimation of an empirical formula for efficiency of a BEGe type detector using machine learning based algorithm. Radiation Physics and Chemistry. 206. 110761–110761. 2 indexed citations

4.

Zhang, Xiaorui, Jie Zhou, Wei Sun, & Sunil Kumar Jha. (2022). A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis. Computers, materials & continua/Computers, materials & continua (Print). 72(1). 1123–1137. 85 indexed citations

5.

Zhang, Xiaorui, et al.. (2021). A Robust 3-D Medical Watermarking Based on Wavelet Transform for Data Protection. Computer Systems Science and Engineering. 41(3). 1043–1056. 157 indexed citations

6.

Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2021). DenseResUNet: An Architecture to Assess Water-Stressed Sugarcane Crops from Sentinel-2 Satellite Imagery. Traitement du signal. 38(4). 1131–1139. 8 indexed citations

7.

Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2020). Remote sensing and machine learning for crop water stress determination in various crops: a critical review. Precision Agriculture. 21(5). 1121–1155. 215 indexed citations breakdown →

8.

Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2020). Application of Machine Learning on Remote Sensing Data for Sugarcane Crop Classification: A Review. Lecture notes in networks and systems. 539–555. 19 indexed citations

9.

Virnodkar, Shyamal S., Vinod Pachghare, V. C. Patil, & Sunil Kumar Jha. (2020). CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2. Journal of King Saud University - Computer and Information Sciences. 34(6). 3343–3355. 20 indexed citations

10.

Desai, Veena, et al.. (2018). Remote Sensing Technology and Applications in Agriculture. 193–197. 5 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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