Shashank Yadav

474 total citations
32 papers, 303 citations indexed

About

Shashank Yadav is a scholar working on Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shashank Yadav has authored 32 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Molecular Biology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shashank Yadav's work include Smart Agriculture and AI (5 papers), Leaf Properties and Growth Measurement (3 papers) and Computational Drug Discovery Methods (3 papers). Shashank Yadav is often cited by papers focused on Smart Agriculture and AI (5 papers), Leaf Properties and Growth Measurement (3 papers) and Computational Drug Discovery Methods (3 papers). Shashank Yadav collaborates with scholars based in India, United States and United Kingdom. Shashank Yadav's co-authors include Swati Agarwal, Arun Kumar Yadav, Durai Sundar, Chetan Arora, Subhashis Banerjee, K. John Singh, Abhishek Bajpai, Anand Shanker Tewari, Jaspreet Kaur Dhanjal and Upendra Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancers and Briefings in Bioinformatics.

In The Last Decade

Shashank Yadav

24 papers receiving 293 citations

Peers

Shashank Yadav

CNC

IS

CVPR

MB

AI

Li Pan China

K. Geetha India

Bin Cheng China

Savitri Bevinakoppa Australia

Quan Le Ireland

Xiaojun Xie China

Shu‐Wei Jin China

Wael A. Awad Egypt

Mahsa Torkamanian-Afshar Türkiye

Li Pan China

Shashank Yadav

111 ×0.9

CNC

53 ×0.8

IS

25 ×0.4

CVPR

52 ×0.8

MB

66 ×1.6

AI

Citations per year, relative to Shashank Yadav Shashank Yadav (= 1×) peers Li Pan

Countries citing papers authored by Shashank Yadav

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Yadav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Yadav

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yadav, Shashank & Upendra Kumar. (2025). A Hybrid Dehazing and Illumination Based Approach for Preprocessing, Enhancement and Segmentation of Lung Images Using Deep Learning. Traitement du signal. 42(2). 1161–1172.

2.

Yadav, Shashank, et al.. (2025). graphB3—an interpretable graph learning approach for predicting blood–brain barrier permeability. Briefings in Bioinformatics. 26(6). 1 indexed citations

3.

Bajpai, Abhishek, Shashank Yadav, Anas Bilal, et al.. (2025). DM-AECB: a diffusion and attention-enhanced convolutional block for underwater image restoration in autonomous marine systems. Frontiers in Marine Science. 12.

4.

Kumar, Shivam, et al.. (2025). Hybrid Fake News Detection Model: Bagging and Logistic Regression Approach. 403–408.

5.

Bajpai, Abhishek, et al.. (2024). Pneumonia Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional Neural Networks. 10. 1–6. 1 indexed citations

6.

Yadav, Shashank, et al.. (2024). Entrepreneurship as a Career Choice Among Youth: A Study of Perceived Risk, Motivation, and Social Support.

7.

Maurya, Rohit, et al.. (2024). Brain Tumor Diagnosis Using Hybrid Pre-trained CNN-SVM. 868–873.

8.

Bajpai, Abhishek, et al.. (2023). Detecting Foliar Diseases in Potato Crops Through a Network of Convolutional Neurons. 254–259. 6 indexed citations

9.

Yadav, Poonam, et al.. (2023). Sensor Injection Based Routing Protocol for Effective Load Balancing in Underwater Wireless Sensor Networks. Wireless Personal Communications. 133(2). 951–979.

10.

Yadav, Shashank, et al.. (2023). Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 System. Biomolecules. 13(4). 641–641. 12 indexed citations

11.

Yadav, Shashank, et al.. (2023). TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding. Computational and Structural Biotechnology Journal. 23. 165–173. 11 indexed citations

12.

Yadav, Shashank, et al.. (2023). Development and Characterization of Vanishing Cream. Acta Scientific Pharmaceutical Sciences. 9–13.

13.

Yadav, Shashank, et al.. (2023). Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data. SHILAP Revista de lepidopterología. 3(1). 187–187. 6 indexed citations

14.

Yadav, Shashank, et al.. (2023). Patient Reported Outcome of Palatal Donor Site After Harvesting Connective Tissue Graft With or Without Platelet-rich Fibrin: A Prospective Clinical Study. Journal of Advanced Oral Research. 14(2). 198–209. 2 indexed citations

15.

Kumar, Sanjeev, et al.. (2023). Rh(III)‐Catalyzed C−H Annulation of Sulfoxonium Ylides and 1,3‐Diynes: A Rapid Access to Alkynyl‐1‐Naphthol Derivatives. Chemistry - An Asian Journal. 18(8). e202201201–e202201201. 5 indexed citations

16.

Bajpai, Abhishek, et al.. (2022). A Novel Power-Efficient Data Aggregation Scheme for Cloud-Based Sensor Networks. 13(1). 1–14. 3 indexed citations

17.

Yadav, Shashank, et al.. (2021). SurvCNN: A Discrete Time-to-Event Cancer Survival Estimation Framework Using Image Representations of Omics Data. Cancers. 13(13). 3106–3106. 11 indexed citations

18.

Kumar, Upendra, et al.. (2019). Automated Image Splicing Detection using Texture based Feature Criterion and Fuzzy Support Vector Machine based Classifier. 81–86. 5 indexed citations

19.

Agarwal, Swati, Shashank Yadav, & Arun Kumar Yadav. (2016). An Efficient Architecture and Algorithm for Resource Provisioning in Fog Computing. International Journal of Information Engineering and Electronic Business. 8(1). 48–61. 120 indexed citations

20.

Yadav, Shashank, et al.. (2012). Notice of Violation of IEEE Publication Principles - K-means versus k-means ++ clustering technique. 1–6. 22 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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