Rahul Kumar Jain

581 total citations
49 papers, 324 citations indexed

About

Rahul Kumar Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rahul Kumar Jain has authored 49 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rahul Kumar Jain's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (9 papers) and Polymer crystallization and properties (7 papers). Rahul Kumar Jain is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (9 papers) and Polymer crystallization and properties (7 papers). Rahul Kumar Jain collaborates with scholars based in India, Japan and United States. Rahul Kumar Jain's co-authors include Robert Simha, P. Zoller, Shubham Dodia, B. Annappa, Nidhi Arora, Yen‐Wei Chen, Tomoko Tateyama, Yutaro Iwamoto, Yinhao Li and William Moran and has published in prestigious journals such as Expert Systems with Applications, Journal of Materials Science and Thin Solid Films.

In The Last Decade

Rahul Kumar Jain

43 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Kumar Jain India 9 104 93 77 57 50 49 324
Shunyao Luan China 7 8 0.1× 117 1.3× 55 0.7× 23 0.4× 63 1.3× 13 230
B. Schneider Germany 11 30 0.3× 7 0.1× 17 0.2× 44 0.8× 35 0.7× 42 364
Wenkun Zhang China 11 10 0.1× 187 2.0× 32 0.4× 50 0.9× 176 3.5× 29 358
Zhijia Chen China 11 23 0.2× 3 0.0× 15 0.2× 134 2.4× 39 0.8× 45 458
S. Anandan Shanmugam Malaysia 7 40 0.4× 5 0.1× 28 0.4× 129 2.3× 52 1.0× 23 453
Felix Bragman United Kingdom 7 9 0.1× 47 0.5× 44 0.6× 8 0.1× 74 1.5× 12 289
M. Sumathi India 8 11 0.1× 19 0.2× 21 0.3× 25 0.4× 24 0.5× 44 273
Xiaolong Qian China 8 15 0.1× 7 0.1× 24 0.3× 11 0.2× 131 2.6× 28 410
J. Abellán Spain 9 23 0.2× 8 0.1× 84 1.1× 110 1.9× 57 1.1× 21 346
Junhui Deng China 8 35 0.3× 4 0.0× 71 0.9× 49 0.9× 61 1.2× 22 325

Countries citing papers authored by Rahul Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Kumar Jain. A scholar is included among the top collaborators of Rahul Kumar Jain 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 Rahul Kumar Jain. Rahul Kumar Jain 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.
Jain, Rahul Kumar, et al.. (2025). SPA: Leveraging the SAM With Spatial Priors Adapter for Enhanced Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 30(2). 993–1005. 2 indexed citations
2.
Jain, Rahul Kumar, Yinhao Li, Jingliang Cheng, et al.. (2025). Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images. 6(2). 1–21. 1 indexed citations
3.
Jain, Rahul Kumar, et al.. (2024). A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation. Neurocomputing. 580. 127482–127482. 5 indexed citations
4.
Ai, Yang, Jing Liu, Xiuju Du, et al.. (2024). SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data. IEEE Journal of Biomedical and Health Informatics. 29(5). 3220–3233. 5 indexed citations
5.
Jian, Song, et al.. (2024). Early Recurrence Prediction of Hepatocellular Carcinoma Using Deep Learning Frameworks with Multi-Task Pre-Training. Information. 15(8). 493–493. 1 indexed citations
6.
Karsh, Ram Kumar, et al.. (2024). A deep neural network-based architecture for automated detection of COVID-19 from chest X-ray images. International Journal of Medical Engineering and Informatics. 16(2). 173–184. 1 indexed citations
7.
Jain, Rahul Kumar, et al.. (2024). Ladder Fine-tuning Approach for SAM Integrating Complementary Network. Procedia Computer Science. 246. 4951–4958. 16 indexed citations
8.
Liu, Jing, Qingqing Chen, Rahul Kumar Jain, et al.. (2024). OA-GAN: organ-aware generative adversarial network for synthesizing contrast-enhanced medical images. Biomedical Physics & Engineering Express. 10(3). 35012–35012. 1 indexed citations
9.
10.
Jain, Rahul Kumar, et al.. (2023). The yesterday, today and tomorrow of liver transplant. Medical Journal Armed Forces India. 79(6). 638–644.
11.
Jain, Rahul Kumar, Yutaro Iwamoto, Xian‐Hua Han, et al.. (2023). A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation. Bioengineering. 10(8). 899–899. 3 indexed citations
12.
Jain, Rahul Kumar. (2023). Revolutionizing the Future: Exploring the Multifaceted Advances of Robotic Technologies. 1(1). 1–7. 6 indexed citations
13.
Das, Suchismita, et al.. (2023). Light-UNet++: A Simplified U-NET++ Architecture for Multimodal Biomedical Image Segmentation. 1–5. 2 indexed citations
14.
Jain, Rahul Kumar, et al.. (2023). Adaptive Graph Convolutional Networks for Medical Image Segmentation. PubMed. 2023. 1–4. 1 indexed citations
15.
Singh, Bhupinder, et al.. (2023). A comprehensive analysis of different types of clinical rounds in hospital medicine. Baylor University Medical Center Proceedings. 37(1). 135–141. 1 indexed citations
16.
Jain, Rahul Kumar, et al.. (2021). LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection. 1–6. 6 indexed citations
17.
Jain, Rahul Kumar, et al.. (2021). COVID-19: Automatic detection from X-ray images by utilizing deep learning methods. Expert Systems with Applications. 176. 114883–114883. 75 indexed citations
18.
McClafferty, Brendan, et al.. (2020). Cardiology and COVID-19: do We have Sufficient information?. Future Cardiology. 17(4). 705–711. 4 indexed citations
19.
Jain, Rahul Kumar, et al.. (2012). Hidden Markov Model based anomaly intrusion detection. University of Hertfordshire Research Archive (University of Hertfordshire). 528–533. 10 indexed citations
20.
Agrawal, Ankit, et al.. (2010). Fuzzy-adaptive-thresholding-based exon prediction. International Journal of Computational Biology and Drug Design. 3(4). 311–311. 4 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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