Rachna Jain

5.0k total citations · 4 hit papers
147 papers, 2.8k citations indexed

About

Rachna Jain is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rachna Jain has authored 147 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 26 papers in Information Systems and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rachna Jain's work include COVID-19 diagnosis using AI (16 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (8 papers). Rachna Jain is often cited by papers focused on COVID-19 diagnosis using AI (16 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (8 papers). Rachna Jain collaborates with scholars based in India, Vietnam and United Arab Emirates. Rachna Jain's co-authors include D. Jude Hemanth, Preeti Nagrath, Meenu Gupta, Soham Taneja, Nikita Jain, Akshay Aggarwal, Anand Nayyar, Jyoti Saxena, Vinay Sharma and Rohan Arora and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ.

In The Last Decade

Rachna Jain

135 papers receiving 2.7k citations

Hit Papers

Deep learning based detection and analysis of COVID-19 on... 2019 2026 2021 2023 2020 2019 2020 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning based detection and analysis of COVID-19 on chest X-ray images
    2020 341 citations Rachna Jain, Meenu Gupta et al. Applied Intelligence profile →
  2. Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images
    2019 277 citations Rachna Jain, Nikita Jain et al. profile →
  3. SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2
    2020 276 citations Preeti Nagrath, Rachna Jain et al. profile →
  4. Heart disease prediction using machine learning algorithms
    2021 174 citations Rachna Jain, Preeti Nagrath et al. profile →

Peers

Rachna Jain
Karrar Hameed Abdulkareem Iraq
Chinmay Chakraborty India
Mamta Mittal India
Gopi Battineni Italy
Yogesh Kumar India
Imran Ashraf South Korea
Ashish Khanna India
Arif Mehmood Pakistan
Prashant Kumar Shukla India
R. Manikandan India
Karrar Hameed Abdulkareem Iraq
Rachna Jain
Citations per year, relative to Rachna Jain Rachna Jain (= 1×) peers Karrar Hameed Abdulkareem

Countries citing papers authored by Rachna Jain

Since Specialization
Citations

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

Fields of papers citing papers by Rachna Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachna Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Rachna Jain. A scholar is included among the top collaborators of Rachna 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 Rachna Jain. Rachna 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, Rachna, et al.. (2025). Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach. Information Fusion. 118. 102993–102993. 13 indexed citations
2.
Gupta, Anisha, et al.. (2025). A novel sarcasm detection approach for text-image data: Leveraging multimodal fusion and weighted latent factors. Information Fusion. 123. 103266–103266.
3.
Kumar, Ashish, et al.. (2024). Correlation filter based single object tracking: A review. Information Fusion. 112. 102562–102562. 9 indexed citations
4.
Jain, Rachna, et al.. (2024). RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition. Neurocomputing. 613. 128708–128708. 2 indexed citations
5.
Jain, Rachna, et al.. (2024). Survey on Virtualization Technique and Its Role in Cloud Computing Environment. 2(1). 1–10. 3 indexed citations
6.
Jain, Rachna, et al.. (2024). Mobile Device Security: A Two-Layered Approach with Blockchain and Sensor Technology for Theft Prevention. Scalable Computing Practice and Experience. 25(6).
7.
Nayyar, Anand, et al.. (2023). Stacked CNN - LSTM approach for prediction of suicidal ideation on social media. Multimedia Tools and Applications. 82(18). 27883–27904. 12 indexed citations
8.
Jain, Rachna & Yogesh Jain. (2021). The importance of physical examination in primary health care provided by NPHW is being threatened in COVID19 times. Journal of Family Medicine and Primary Care. 10(1). 19–21. 5 indexed citations
9.
Jain, Yogesh, et al.. (2021). Geriatric population in India. Journal of Family Medicine and Primary Care. 10(1). 72–76. 25 indexed citations
10.
Jain, Rachna, Meenu Gupta, Soham Taneja, & D. Jude Hemanth. (2020). Deep learning based detection and analysis of COVID-19 on chest X-ray images. Applied Intelligence. 51(3). 1690–1700. 341 indexed citations breakdown →
11.
12.
Jain, Rachna, et al.. (2018). Improved Multinomial Naïve Bayes Approach for Sentiment Analysis on Social Media. SSRN Electronic Journal. 2 indexed citations
13.
Jain, Rachna, et al.. (2018). Comparative Analysis of Feature Selection in Epilepsy Seizure Recognition Using Cuckoo, Gravitational Search and Bat Algorithm. SSRN Electronic Journal. 1 indexed citations
14.
Jain, Rachna, et al.. (2016). Sentiment analysis of E-commerce and social networking sites. International Conference on Computing for Sustainable Global Development. 2300–2305. 14 indexed citations
15.
Jain, Rachna, et al.. (2016). Impact of Mentoring on Academic Performance & Career Self-Efficacy of Business Students. Indian journal of industrial relations. 51(4). 684. 3 indexed citations
16.
Choudhary, Abhishek, et al.. (2015). Framework For Secure Cloud Data Communication. International journal of scientific and technology research. 4(2). 281–284. 1 indexed citations
17.
Jain, Rachna, et al.. (2015). A Study of the College Self-Efficacy Inventory and Its Impact on University Students' Academic Success. 4(3). 42–53. 3 indexed citations
18.
Jain, Rachna, et al.. (2013). AN EFFICIENT AND SIMPLE METHODOLOGY COUPLING MICROWAVE ASSISTED EXTRACTION TO GC-MS FOR THE IDENTIFICATION OF COMPONENTS IN ROOT BARK OF GUAZUMA TOMENTOSA. International Journal of Pharma and Bio Sciences. 4 indexed citations
19.
Jain, Rachna, et al.. (2011). A review on pharmacological and chemical documentation of Nyctanthes arbor-tristis Linn. (Harsingar). 亚洲传统医药. 6(5). 188–202. 7 indexed citations
20.
Saxena, Vikas, Amar Nath Gupta, & Rachna Jain. (2007). Topographic anatomy of the buccal and labial glands in goat (Capra hircus). The Indian Journal of Animal Sciences. 77(7). 2 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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