Shailendra Tiwari

587 total citations
37 papers, 387 citations indexed

About

Shailendra Tiwari is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Shailendra Tiwari has authored 37 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Biomedical Engineering. Recurrent topics in Shailendra Tiwari's work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Shailendra Tiwari is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Shailendra Tiwari collaborates with scholars based in India, China and Ethiopia. Shailendra Tiwari's co-authors include Yadunath Pathak, K. V. Arya, Naresh Kumar, Yogesh Kumar, Ashutosh Aggarwal, Karamjeet Singh, Rajeev Srivastava, Shivendra Shivani, Dilbag Singh and Kuldeep Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Biomedical Signal Processing and Control.

In The Last Decade

Shailendra Tiwari

36 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailendra Tiwari India 11 150 131 119 35 32 37 387
Yadunath Pathak India 10 132 0.9× 294 2.2× 327 2.7× 30 0.9× 34 1.1× 19 619
Paulo S. Rodrigues Brazil 11 130 0.9× 173 1.3× 80 0.7× 34 1.0× 22 0.7× 44 370
Shouvik Chakraborty India 14 331 2.2× 210 1.6× 104 0.9× 66 1.9× 21 0.7× 45 551
Ahmad Ali Abin Iran 12 91 0.6× 165 1.3× 51 0.4× 13 0.4× 16 0.5× 39 322
Xianhua Zeng China 13 278 1.9× 221 1.7× 65 0.5× 46 1.3× 28 0.9× 45 523
Amani Jamal Saudi Arabia 11 61 0.4× 151 1.2× 95 0.8× 36 1.0× 8 0.3× 31 318
Phen-Lan Lin Taiwan 12 236 1.6× 117 0.9× 63 0.5× 64 1.8× 46 1.4× 30 476
Rishav Pramanik India 11 101 0.7× 202 1.5× 99 0.8× 23 0.7× 27 0.8× 14 383
Tahereh Hassanzadeh Australia 12 153 1.0× 246 1.9× 40 0.3× 21 0.6× 49 1.5× 26 416
Yi‐Ta Wu United States 13 342 2.3× 174 1.3× 124 1.0× 24 0.7× 34 1.1× 29 519

Countries citing papers authored by Shailendra Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Shailendra Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailendra Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Shailendra Tiwari. A scholar is included among the top collaborators of Shailendra Tiwari 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 Shailendra Tiwari. Shailendra Tiwari 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.
Tiwari, Shailendra, et al.. (2025). Leveraging feature fusion ensemble of VGG16 and ResNet-50 for automated potato leaf abnormality detection in precision agriculture. Soft Computing. 29(4). 2263–2277. 2 indexed citations
2.
Tiwari, Shailendra, et al.. (2024). CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images. Neural Computing and Applications. 36(13). 7265–7278. 1 indexed citations
3.
Shivani, Shivendra, et al.. (2024). CT image authentication for telemedicine applications using self-embedding pixel-wise technique with chaotic coordinate mapping and lfsr. Multimedia Tools and Applications. 84(26). 30903–30928. 1 indexed citations
4.
Tiwari, Shailendra, et al.. (2024). Deep attentive multimodal learning for food information enhancement via early-stage heterogeneous fusion. The Visual Computer. 41(4). 2461–2476. 1 indexed citations
5.
Tiwari, Shailendra, et al.. (2024). Anti T-lymphocyte Globulin (Grafalon®) Use during Rabbit Anti-thymocyte Globulin (Thymoglobulin®) Shortage – A Single-center Experience. SHILAP Revista de lepidopterología. 18(4). 404–410.
6.
Vyas, Manan, et al.. (2023). Raphael at ArAIEval Shared Task: Understanding Persuasive Language and Tone, an LLM Approach. 589–593. 2 indexed citations
7.
Tiwari, Shailendra, et al.. (2022). Computational Medical Image Reconstruction Techniques: A Comprehensive Review. Archives of Computational Methods in Engineering. 29(7). 5635–5662. 5 indexed citations
8.
9.
Singh, Bhupesh Kumar, et al.. (2021). Efficient Single Image Dehazing Model Using Metaheuristics-Based Brightness Channel Prior. Mathematical Problems in Engineering. 2021. 1–12. 3 indexed citations
10.
Liu, Liping, Dan Xu, Ashutosh Sharma, et al.. (2021). CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging. Mathematical Problems in Engineering. 2021. 1–8. 18 indexed citations
11.
Kumar, Naresh, et al.. (2021). Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images. Journal of Ambient Intelligence and Humanized Computing. 14(1). 469–478. 69 indexed citations
12.
Ghai, Deepika, Shailendra Tiwari, & Nripendra Narayan Das. (2021). Bottom-boosting differential evolution based digital image security analysis. Journal of Information Security and Applications. 61. 102811–102811. 2 indexed citations
13.
Singh, Dilbag, Shailendra Tiwari, Manjit Kaur, et al.. (2021). Screening of COVID-19 Patients Using Deep Learning and IoT Framework. Computers, materials & continua/Computers, materials & continua (Print). 69(3). 3459–3475. 11 indexed citations
14.
Tiwari, Shailendra, et al.. (2021). A Survey of Soft Computing Approaches in Biomedical Imaging. Journal of Healthcare Engineering. 2021. 1–15. 5 indexed citations
15.
Tiwari, Shailendra, et al.. (2020). MirGAN: Medical Image Reconstruction using Generative Adversarial Networks. 1–5. 3 indexed citations
16.
Shivani, Shivendra & Shailendra Tiwari. (2018). Simulation of intelligent target hitting in obstructed path using physical body animation and genetic algorithm. Multimedia Tools and Applications. 78(8). 9763–9790. 1 indexed citations
17.
Shivani, Shivendra, Shailendra Tiwari, K. K. Mishra, Zhigao Zheng, & Arun Kumar Sangaiah. (2017). Providing security and privacy to huge and vulnerable songs repository using visual cryptography. Multimedia Tools and Applications. 77(9). 11101–11120. 9 indexed citations
18.
Arya, K. V., et al.. (2016). Facial recognition using histogram of Gabor phase patterns and self organizing maps. 3. 883–889. 2 indexed citations
19.
Tiwari, Shailendra, Sudhakar Tripathi, & K. V. Arya. (2016). Score level fusion of Iris and Fingerprint using wavelet features. 456–461. 2 indexed citations
20.
Tiwari, Shailendra & Rajeev Srivastava. (2015). An OSEM-based hybrid-cascaded framework for PET/SPECT image reconstruction. International Journal of Biomedical Engineering and Technology. 18(4). 310–310. 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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2026