Neha Gour

541 total citations
17 papers, 334 citations indexed

About

Neha Gour is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Neha Gour has authored 17 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Ophthalmology. Recurrent topics in Neha Gour's work include Retinal Imaging and Analysis (11 papers), Digital Imaging for Blood Diseases (9 papers) and Glaucoma and retinal disorders (6 papers). Neha Gour is often cited by papers focused on Retinal Imaging and Analysis (11 papers), Digital Imaging for Blood Diseases (9 papers) and Glaucoma and retinal disorders (6 papers). Neha Gour collaborates with scholars based in India, United Arab Emirates and Australia. Neha Gour's co-authors include Pritee Khanna, Aparajita Ojha, Naoufel Werghi, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Mohamed L. Seghier, Ernesto Damiani, Mohammed Bennamoun and Syed Sadaf Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Pattern Recognition Letters.

In The Last Decade

Neha Gour

14 papers receiving 322 citations

Peers

Neha Gour
Rubina Sarki Australia
Neha Gour
Citations per year, relative to Neha Gour Neha Gour (= 1×) peers Rubina Sarki

Countries citing papers authored by Neha Gour

Since Specialization
Citations

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

Fields of papers citing papers by Neha Gour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Gour

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

All Works

17 of 17 papers shown
1.
Gour, Neha, Taimur Hassan, Nabil Maalej, et al.. (2025). STING-BEE : Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection. 20767–20777.
2.
Hassan, Taimur, Muhammad Owais, Neha Gour, et al.. (2024). Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items. SHILAP Revista de lepidopterología. 7(1). 30–30. 1 indexed citations
3.
Gour, Neha, et al.. (2024). An interpretable dual attention network for diabetic retinopathy grading: IDANet. Artificial Intelligence in Medicine. 149. 102782–102782. 14 indexed citations
4.
Hassan, Taimur, Neha Gour, Muhammad Owais, et al.. (2024). Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning. IEEE Transactions on Industrial Informatics. 20(4). 6563–6572. 9 indexed citations
5.
Gour, Neha, et al.. (2024). Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet. Computers in Biology and Medicine. 186. 109592–109592. 3 indexed citations
6.
Ali, Syed Sadaf, et al.. (2023). Forgery Localization in Images Using Deep Learning. 443–447. 1 indexed citations
7.
Gour, Neha, Taimur Hassan, Muhammad Owais, et al.. (2023). Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals. Brain Informatics. 10(1). 25–25. 13 indexed citations
8.
Gour, Neha, et al.. (2023). Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset. Computers in Biology and Medicine. 153. 106519–106519. 40 indexed citations
9.
Ganapathi, Iyyakutti Iyappan, Syed Sadaf Ali, Muhammad Owais, et al.. (2023). Facet-Level Segmentation of 3d Textures on Cultural Heritage Objects. 3035–3039.
10.
Gour, Neha & Pritee Khanna. (2022). Ocular diseases classification using a lightweight CNN and class weight balancing on OCT images. Multimedia Tools and Applications. 81(29). 41765–41780. 7 indexed citations
11.
Gour, Neha, et al.. (2022). Challenges for ocular disease identification in the era of artificial intelligence. Neural Computing and Applications. 35(31). 22887–22909. 20 indexed citations
12.
Gour, Neha & Pritee Khanna. (2020). Multi-class multi-label ophthalmological disease detection using transfer learning based convolutional neural network. Biomedical Signal Processing and Control. 66. 102329–102329. 125 indexed citations
13.
Gour, Neha & Pritee Khanna. (2019). Automated glaucoma detection using GIST and pyramid histogram of oriented gradients (PHOG) descriptors. Pattern Recognition Letters. 137. 3–11. 55 indexed citations
14.
Gour, Neha & Pritee Khanna. (2019). Speckle denoising in optical coherence tomography images using residual deep convolutional neural network. Multimedia Tools and Applications. 79(21-22). 15679–15695. 30 indexed citations
15.
16.
Gour, Neha & Pritee Khanna. (2018). Optic Disc Segmentation using Vessel In-painting and Random Walk Algorithm. 24. 1–6. 2 indexed citations
17.
Gour, Neha & Pritee Khanna. (2017). Blood Vessel Segmentation Using Hybrid Median Filtering and Morphological Transformation. 151–157. 9 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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