Kranthi Kumar Lella

492 total citations
25 papers, 313 citations indexed

About

Kranthi Kumar Lella is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kranthi Kumar Lella has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Kranthi Kumar Lella's work include COVID-19 diagnosis using AI (7 papers), Phonocardiography and Auscultation Techniques (4 papers) and Music and Audio Processing (3 papers). Kranthi Kumar Lella is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Phonocardiography and Auscultation Techniques (4 papers) and Music and Audio Processing (3 papers). Kranthi Kumar Lella collaborates with scholars based in India, Singapore and Malaysia. Kranthi Kumar Lella's co-authors include GK Rath, Ramesh Vatambeti, H. Lal, Sarat Chander, Dillip Kumar Parida, Munish Gairola, Vinod Raina, Ratan Kumar, S Duttagupta and Maneesh Singhal and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Kranthi Kumar Lella

25 papers receiving 299 citations

Peers

Kranthi Kumar Lella
Prashant Krishnan India
Madhurananda Pahar South Africa
Shreyas Ramoji India
Özkan Kılıç Türkiye
Zongji Sun China
Nihad Karim Chowdhury Bangladesh
Shikah J. Alsunaidi Saudi Arabia
Yanan Wu China
Shams Nafisa Ali Bangladesh
Prashant Krishnan India
Kranthi Kumar Lella
Citations per year, relative to Kranthi Kumar Lella Kranthi Kumar Lella (= 1×) peers Prashant Krishnan

Countries citing papers authored by Kranthi Kumar Lella

Since Specialization
Citations

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

Fields of papers citing papers by Kranthi Kumar Lella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kranthi Kumar Lella

This figure shows the co-authorship network connecting the top 25 collaborators of Kranthi Kumar Lella. A scholar is included among the top collaborators of Kranthi Kumar Lella 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 Kranthi Kumar Lella. Kranthi Kumar Lella 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.
Lella, Kranthi Kumar, et al.. (2025). Enhancing food recognition accuracy using hybrid transformer models and image preprocessing techniques. Scientific Reports. 15(1). 5591–5591. 3 indexed citations
2.
Lella, Kranthi Kumar, et al.. (2025). Clustering-based binary Grey Wolf Optimisation model with 6LDCNNet for prediction of heart disease using patient data. Scientific Reports. 15(1). 1270–1270. 1 indexed citations
3.
Venkataramana, S., et al.. (2025). Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization. Scientific Reports. 15(1). 19034–19034. 1 indexed citations
4.
Lella, Kranthi Kumar, et al.. (2024). Enhancing anomaly detection: A comprehensive approach with MTBO feature selection and TVETBO Optimized Quad-LSTM classification. Computers & Electrical Engineering. 119. 109536–109536. 5 indexed citations
5.
Lella, Kranthi Kumar, et al.. (2024). Revolutionizing diabetic retinopathy detection using DB-SCA-UNet with Drop Block-Based Attention Model in deep learning for precise analysis of color retinal images. The European Physical Journal Special Topics. 234(15). 3563–3583. 1 indexed citations
6.
Lella, Kranthi Kumar, et al.. (2024). An effective IoT and deep learning-based patient healthcare monitoring system for chronic diseases prediction and classification. Advances in Complex Systems. 15(5). 1 indexed citations
7.
Lella, Kranthi Kumar, et al.. (2024). Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis. IEEE Access. 12. 28972–28987. 7 indexed citations
8.
Manohar, M., et al.. (2024). Detection of Forest Fire Using Modified LSTM Based Feature Extraction with Waterwheel Plant Optimisation Algorithm Based VAE-GAN Model. International Journal of Safety and Security Engineering. 14(2). 329–340. 1 indexed citations
9.
Lella, Kranthi Kumar, et al.. (2024). A Deep Reinforcement Learning-Based RNN Model in a Traffic Control System for 5G-Envisioned Internet of Vehicles. Mathematical Modelling and Engineering Problems. 11(1). 75–83. 1 indexed citations
10.
11.
Lella, Kranthi Kumar, et al.. (2024). Enhancing intrusion detection in MANETs with blockchain-based trust management and enhanced GRU model. Peer-to-Peer Networking and Applications. 18(1). 1 indexed citations
12.
Lella, Kranthi Kumar, et al.. (2023). Racism and Hate Speech Detection on Twitter: A QAHA-Based Hybrid Deep Learning Approach Using LSTM-CNN. 1(2). 89–102. 1 indexed citations
13.
Lella, Kranthi Kumar, et al.. (2023). Deep Learning Based Optimization Model for Energy Consumption of New Electric Vehicles. Revue d intelligence artificielle. 37(4). 2 indexed citations
14.
Lella, Kranthi Kumar, et al.. (2023). Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets. Artificial Intelligence in Medicine. 143. 102627–102627. 7 indexed citations
15.
Lella, Kranthi Kumar, et al.. (2022). COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds. The European Physical Journal Special Topics. 231(18-20). 3673–3696. 6 indexed citations
16.
Lella, Kranthi Kumar, et al.. (2022). COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds. The European Physical Journal Special Topics. 231(18-20). 3329–3346. 33 indexed citations
17.
Lella, Kranthi Kumar, et al.. (2021). A literature review on COVID-19 disease diagnosis from respiratory sound data. SHILAP Revista de lepidopterología. 8(2). 140–153. 30 indexed citations
18.
19.
Chander, Sarat, et al.. (2001). Medical disorders associated with endometrial carcinoma.. PubMed. 49. 630–3. 5 indexed citations
20.
Lal, H., et al.. (1989). Serum enzymes in head and neck cancer. IV: 5-nucleotidase. The Journal of Laryngology & Otology. 103(2). 200–202. 7 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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