Ashnil Kumar

2.9k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Ashnil Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ashnil Kumar has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ashnil Kumar's work include AI in cancer detection (20 papers), Image Retrieval and Classification Techniques (18 papers) and Medical Image Segmentation Techniques (11 papers). Ashnil Kumar is often cited by papers focused on AI in cancer detection (20 papers), Image Retrieval and Classification Techniques (18 papers) and Medical Image Segmentation Techniques (11 papers). Ashnil Kumar collaborates with scholars based in Australia, China and Hong Kong. Ashnil Kumar's co-authors include Jinman Kim, Michael Fulham, Dagan Feng, Lei Bi, Euijoon Ahn, Dagan Feng, Jinman Kim, Weidong Cai, Changyang Li and Lingfeng Wen and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Ashnil Kumar

53 papers receiving 1.7k citations

Hit Papers

An Ensemble of Fine-Tuned... 2016 2026 2019 2022 2016 100 200 300
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.

  1. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
    2016 382 citations Ashnil Kumar, Jinman Kim et al. IEEE Journal of Biomedical and Health Informatics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ashnil Kumar 875 712 499 469 205 54 1.8k
S. M. Reza Soroushmehr 505 0.6× 572 0.8× 463 0.9× 392 0.8× 176 0.9× 95 1.8k
Evgin Göçeri 663 0.8× 713 1.0× 628 1.3× 282 0.6× 158 0.8× 52 1.8k
Lei Bi 707 0.8× 402 0.6× 508 1.0× 689 1.5× 267 1.3× 70 1.5k
Muhammad Sharif 947 1.1× 928 1.3× 874 1.8× 591 1.3× 209 1.0× 44 2.6k
Mohammed A. Al‐masni 1.2k 1.4× 443 0.6× 813 1.6× 556 1.2× 298 1.5× 51 2.0k
Md Mamunur Rahaman 1.3k 1.4× 629 0.9× 865 1.7× 220 0.5× 240 1.2× 46 2.0k
Majed Alhaisoni 1.0k 1.2× 875 1.2× 671 1.3× 335 0.7× 130 0.6× 104 2.5k
Mugahed A. Al–antari 1.6k 1.8× 508 0.7× 1.1k 2.3× 368 0.8× 167 0.8× 94 2.5k
İshak Paçal 699 0.8× 373 0.5× 600 1.2× 353 0.8× 158 0.8× 63 1.8k

Countries citing papers authored by Ashnil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ashnil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashnil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashnil Kumar. A scholar is included among the top collaborators of Ashnil Kumar 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 Ashnil Kumar. Ashnil Kumar 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.
Habib, Al‐Rahim, et al.. (2023). An artificial intelligence algorithm for the classification of sphenoid sinus pneumatisation on sinus computed tomography scans. Clinical Otolaryngology. 48(6). 888–894. 6 indexed citations
2.
Habib, Al‐Rahim, Zubair Hasan, Eugene Wong, et al.. (2022). Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta‐analysis. Clinical Otolaryngology. 47(3). 401–413. 29 indexed citations
3.
Hasan, Zubair, Al‐Rahim Habib, Eugene Wong, et al.. (2022). Convolutional Neural Networks in ENT Radiology: Systematic Review of the Literature. Annals of Otology Rhinology & Laryngology. 132(4). 417–430. 11 indexed citations
4.
Xia, Tian, Ashnil Kumar, Michael Fulham, et al.. (2022). Fused feature signatures to probe tumour radiogenomics relationships. Scientific Reports. 12(1). 2173–2173. 4 indexed citations
5.
Kumar, Ashnil, et al.. (2022). Clinical applications of machine learning in predicting 3D shapes of the human body: a systematic review. BMC Bioinformatics. 23(1). 431–431. 6 indexed citations
6.
7.
Ahn, Euijoon, Ashnil Kumar, Michael Fulham, Dagan Feng, & Jinman Kim. (2020). Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Transactions on Medical Imaging. 39(7). 2385–2394. 38 indexed citations
8.
Ahn, Euijoon, Ashnil Kumar, Dagan Feng, Michael Fulham, & Jinman Kim. (2019). Unsupervised Deep Transfer Feature Learning for Medical Image Classification. 1915–1918. 27 indexed citations
9.
Kumar, Ashnil, et al.. (2019). Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks. Ultrasound in Medicine & Biology. 45(5). 1259–1273. 50 indexed citations
10.
Kumar, Ashnil, et al.. (2018). Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns. IEEE Transactions on Medical Imaging. 38(6). 1477–1487. 13 indexed citations
11.
Ahn, Euijoon, Jinman Kim, Lei Bi, et al.. (2017). Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE Journal of Biomedical and Health Informatics. 21(6). 1685–1693. 110 indexed citations
12.
Kumar, Ashnil, et al.. (2017). Neural Captioning for the ImageCLEF 2017 Medical Image Challenges.. CLEF (Working Notes). 12 indexed citations
13.
Kumar, Ashnil, et al.. (2016). Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network.. CLEF (Working Notes). 318–321. 10 indexed citations
14.
Jung, Younhyun, Jinman Kim, Ashnil Kumar, Dagan Feng, & Michael Fulham. (2016). Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram. Computerized Medical Imaging and Graphics. 51. 40–49. 7 indexed citations
15.
Bi, Lei, Jinman Kim, Ashnil Kumar, et al.. (2016). Automatic detection and classification of regions of FDG uptake in whole-body PET-CT lymphoma studies. Computerized Medical Imaging and Graphics. 60. 3–10. 40 indexed citations
16.
Kumar, Ashnil, et al.. (2015). Convolutional Neural Networks for Medical Clustering. CLEF (Working Notes). 11 indexed citations
17.
Kumar, Ashnil, et al.. (2015). Convolutional Neural Networks for Subfigure Classification.. CLEF (Working Notes). 4 indexed citations
18.
Kumar, Ashnil, et al.. (2014). Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014. CLEF (Working Notes). 428–437. 5 indexed citations
19.
Kumar, Ashnil, Jinman Kim, Lingfeng Wen, Michael Fulham, & Dagan Feng. (2013). A graph-based approach for the retrieval of multi-modality medical images. Medical Image Analysis. 18(2). 330–342. 26 indexed citations
20.
Kim, Jinman, et al.. (2013). A patient-centric distribution architecture for medical image sharing. Health Information Science and Systems. 1(1). 3–3. 6 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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