Isha Kansal

573 total citations
39 papers, 309 citations indexed

About

Isha Kansal is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Isha Kansal has authored 39 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Electrical and Electronic Engineering and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Isha Kansal's work include Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (7 papers) and Advanced Image Fusion Techniques (5 papers). Isha Kansal is often cited by papers focused on Image Enhancement Techniques (9 papers), Advanced Image Processing Techniques (7 papers) and Advanced Image Fusion Techniques (5 papers). Isha Kansal collaborates with scholars based in India, China and Saudi Arabia. Isha Kansal's co-authors include Singara Singh Kasana, Rupendra Kumar Pachauri, Nitin Goyal, Vikas Khullar, Rajeev Kumar, Hassan Haes Alhelou, Thanikanti Sudhakar Babu, Sachin Kumar, Kuljeet Singh and Sourabh Shastri and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Isha Kansal

31 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isha Kansal India 11 102 81 78 45 43 39 309
He‐Yen Hsieh Taiwan 8 68 0.7× 64 0.8× 70 0.9× 8 0.2× 15 0.3× 21 246
Chaodong Fan China 11 88 0.9× 146 1.8× 93 1.2× 11 0.2× 23 0.5× 29 350
Saidul Islam Canada 3 32 0.3× 50 0.6× 71 0.9× 14 0.3× 9 0.2× 5 215
Ling Tan China 10 91 0.9× 53 0.7× 51 0.7× 20 0.4× 61 1.4× 28 291
Ali N. Hasan South Africa 10 62 0.6× 157 1.9× 49 0.6× 12 0.3× 21 0.5× 37 298
Abdul Rehman Khan Pakistan 7 75 0.7× 23 0.3× 76 1.0× 29 0.6× 17 0.4× 13 258
Erick Rodrí­guez-Esparza Mexico 7 131 1.3× 27 0.3× 131 1.7× 78 1.7× 45 1.0× 20 350
Armin Masoumian Spain 7 84 0.8× 40 0.5× 64 0.8× 23 0.5× 41 1.0× 8 259
Harsukhpreet Singh India 7 29 0.3× 127 1.6× 71 0.9× 19 0.4× 4 0.1× 20 361

Countries citing papers authored by Isha Kansal

Since Specialization
Citations

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

Fields of papers citing papers by Isha Kansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isha Kansal. 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 Isha Kansal. The network helps show where Isha Kansal may publish in the future.

Co-authorship network of co-authors of Isha Kansal

This figure shows the co-authorship network connecting the top 25 collaborators of Isha Kansal. A scholar is included among the top collaborators of Isha Kansal 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 Isha Kansal. Isha Kansal 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.
2.
Kansal, Isha, et al.. (2025). Deep Learning‐Based Privacy Preserving Multimodal Biometrics Recognition for Cross‐Silo Datasets. Expert Systems. 42(6). 1 indexed citations
3.
4.
Kansal, Isha, Vikas Khullar, Preeti Sharma, et al.. (2025). Multiple model visual feature embedding and selection method for an efficient ocular disease classification. Scientific Reports. 15(1). 5157–5157. 2 indexed citations
5.
Khullar, Vikas, et al.. (2025). Multiple model visual feature embedding and selection method for an efficient pest classification supporting precision agriculture. Scientific Reports. 15(1). 31791–31791. 2 indexed citations
6.
Sharma, Ashutosh, et al.. (2024). Gas Detection and Classification Using Multimodal Data Based on Federated Learning. Sensors. 24(18). 5904–5904. 6 indexed citations
7.
Kansal, Isha, et al.. (2024). Analyzing Trustworthiness and Explainability in Artificial Intelligence: A Comprehensive Review. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 18(8).
8.
Kansal, Isha, et al.. (2024). Current Research and Future Directions in Image Restoration Technology: An Emerging Field. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 18(3). 267–280.
9.
Aljaidi, Mohammad, et al.. (2024). Recent Trends in Reconfigurable Antennas for Modern Wireless Communication: A Comprehensive Review. International Journal of Antennas and Propagation. 2024(1). 2 indexed citations
10.
Kumar, Rajeev, et al.. (2023). A Comprehensive Review on Small Satellites: Services and Applications. Lecture notes in electrical engineering. 109–116. 2 indexed citations
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12.
Kansal, Isha, et al.. (2023). IoT-Fog-enabled robotics-based robust classification of hazy and normal season agricultural images for weed detection. Paladyn Journal of Behavioral Robotics. 14(1). 12 indexed citations
13.
Kumar, Rajeev, et al.. (2023). Confidentiality Preserved Federated Learning for Indoor Localization Using Wi-Fi Fingerprinting. Buildings. 13(8). 2048–2048. 4 indexed citations
14.
Kumar, Rajeev, et al.. (2023). From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology. Open Life Sciences. 18(1). 20220777–20220777. 4 indexed citations
15.
Kansal, Isha, et al.. (2023). Game theory-based photovoltaic array system reconfigure method: experimental validation. International Journal of Advanced Technology and Engineering Exploration. 10(99).
16.
Shastri, Sourabh, et al.. (2022). CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks. Health and Technology. 12(1). 193–204. 36 indexed citations
17.
Kansal, Isha, et al.. (2022). Fusion based fast de-fogging for foggy images. AIP conference proceedings. 2458. 100023–100023. 1 indexed citations
18.
Kansal, Isha, et al.. (2022). Digital Image Processing and IoT in Smart Health Care -A review. 1–6. 6 indexed citations
19.
Kansal, Isha, et al.. (2021). A Systematic Review on Techniques of Facemask Detection using Digital Images. 1–6. 2 indexed citations
20.
Kansal, Isha & Rupendra Kumar Pachauri. (2018). Mathematical puzzle based PV array configuration for GMP enhancement under non-uniform irradiation. EAI Endorsed Transactions on Energy Web. 165915–165915. 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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