Neelu Khare
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 6
- Signal Processing top 5%
- Advanced Malware Detection Techniques 5
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting 10
- Privacy-Preserving Technologies in Data 7
- Imbalanced Data Classification Techniques 5
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- Network Security and Intrusion Detection 9
- Ophthalmology top 5%
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- Data Mining Algorithms and Applications 9
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- Rough Sets and Fuzzy Logic 5
- Co-authors
- Thippa Reddy GadekalluD PreethiSweta BhattacharyaSaurabh SinghPraveen Kumar Reddy MaddikuntaMamoun AlazabKuruva LakshmannaIn-Ho Ra
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- IndiaSouth KoreaLebanon
In The Last Decade
Neelu Khare
39 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Health Information Management 263
- Signal Processing 190
- Artificial Intelligence 533
- Computer Networks and Communications 346
- Ophthalmology 130
Countries citing papers authored by Neelu Khare
This map shows the geographic impact of Neelu Khare'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 Neelu Khare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelu Khare more than expected).
Fields of papers citing papers by Neelu Khare
This network shows the impact of papers produced by Neelu Khare. 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 Neelu Khare. The network helps show where Neelu Khare may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neelu Khare, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 32 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 61 | |
| 6 | Early Detection of Diabetic Retinopathy Using PCA-Firefly Based Deep Learning Modelbreakdown → | 2020 | 247 |
| 7 | 2020 | 192 | |
| 8 | 2020 | 5 | |
| 9 | 2018 | 39 | |
| 10 | AN ADABOOST OPTIMIZED CCFIS BASED CLASSIFICATION MODEL FOR BREAST CANCER DETECTION | 2017 | 1 |
| 11 | Feature Selection for Privacy Preserving in Data Mining with Linear Regression Using Genetic Algorithm | 2017 | 1 |
| 12 | 2017 | 23 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 32 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 20 | |
| 17 | 2016 | 26 | |
| 18 | 2016 | 86 | |
| 19 | A Fuzzy Based Model for Mining Conditional Hybrid Dimensional Association Rules | 2010 | 1 |
| 20 | 2010 | 0 |
About Neelu Khare
Neelu Khare is a scholar working on Health Information Management, Artificial Intelligence and Signal Processing, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (10 papers), Network Security and Intrusion Detection (9 papers), Data Mining Algorithms and Applications (9 papers), Privacy-Preserving Technologies in Data (7 papers), Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (5 papers), Rough Sets and Fuzzy Logic (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Health Information Management (263 citations), Signal Processing (190 citations) and Artificial Intelligence (533 citations). Neelu Khare has collaborated with scholars based in India, South Korea and Lebanon. Frequent co-authors include Thippa Reddy Gadekallu, D Preethi, Sweta Bhattacharya, Saurabh Singh, Praveen Kumar Reddy Maddikunta, Mamoun Alazab, Kuruva Lakshmanna, In-Ho Ra, Gautam Srivastava and Chiranji Lal Chowdhary. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neural Computing and Applications.
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.