Praphula Kumar Jain

1.1k total citations
28 papers, 606 citations indexed

About

Praphula Kumar Jain is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Praphula Kumar Jain has authored 28 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Sociology and Political Science. Recurrent topics in Praphula Kumar Jain's work include Sentiment Analysis and Opinion Mining (9 papers), Digital Marketing and Social Media (5 papers) and Advanced Text Analysis Techniques (4 papers). Praphula Kumar Jain is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Digital Marketing and Social Media (5 papers) and Advanced Text Analysis Techniques (4 papers). Praphula Kumar Jain collaborates with scholars based in India, United States and Taiwan. Praphula Kumar Jain's co-authors include Rajendra Pamula, Vijayalakshmi Saravanan, Gautam Srivastava, Ajith Abraham, Yu‐Chen Hu, Chandra Sekhara Rao Annavarapu, Jerry Chun‐Wei Lin, Annavarapu Chandra Sekhara Rao, Lubna A. Gabralla and Anand Prakash and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Praphula Kumar Jain

28 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Praphula Kumar Jain India 17 312 131 88 79 52 28 606
Yucong Duan China 10 272 0.9× 192 1.5× 85 1.0× 87 1.1× 51 1.0× 28 548
Rasha Kashef Canada 13 280 0.9× 180 1.4× 64 0.7× 102 1.3× 32 0.6× 39 555
Ahmad Baraani-Dastjerdi Iran 13 256 0.8× 168 1.3× 75 0.9× 89 1.1× 49 0.9× 52 544
M. Victoria Luzón Spain 16 590 1.9× 110 0.8× 163 1.9× 61 0.8× 35 0.7× 34 888
Abba Suganda Girsang Indonesia 12 243 0.8× 218 1.7× 50 0.6× 51 0.6× 26 0.5× 149 577
Ankur Singh Bist India 17 166 0.5× 222 1.7× 69 0.8× 60 0.8× 31 0.6× 77 657
Karamollah Bagherifard Iran 10 220 0.7× 337 2.6× 124 1.4× 76 1.0× 48 0.9× 21 574
Xuan Zhang China 15 353 1.1× 280 2.1× 46 0.5× 89 1.1× 32 0.6× 80 761
Carla Vairetti Chile 12 345 1.1× 83 0.6× 38 0.4× 24 0.3× 64 1.2× 27 629
Şule Gündüz Öğüdücü Türkiye 17 309 1.0× 222 1.7× 120 1.4× 95 1.2× 50 1.0× 58 804

Countries citing papers authored by Praphula Kumar Jain

Since Specialization
Citations

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

Fields of papers citing papers by Praphula Kumar Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praphula Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Praphula Kumar Jain. A scholar is included among the top collaborators of Praphula Kumar 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 Praphula Kumar Jain. Praphula Kumar 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.
Kumar, Gaurav, et al.. (2024). Intrusion Detection System. Journal of Database Management. 35(1). 1–25. 5 indexed citations
2.
Jain, Praphula Kumar, et al.. (2023). A Novel Deep Learning Approach to Classify Heartbeats Audio Data. Wireless Personal Communications. 132(1). 205–214. 1 indexed citations
3.
Jain, Praphula Kumar, et al.. (2023). Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique. IEEE Access. 11. 26441–26458. 3 indexed citations
4.
Saravanan, Vijayalakshmi, et al.. (2023). Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning. Cognitive Computation. 15(5). 1593–1612. 22 indexed citations
5.
Rao, Annavarapu Chandra Sekhara, et al.. (2022). Multi-type skin diseases classification using OP-DNN based feature extraction approach. Multimedia Tools and Applications. 81(5). 6451–6476. 29 indexed citations
6.
Jain, Praphula Kumar, et al.. (2022). Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals. Sensors. 23(1). 423–423. 26 indexed citations
7.
Jain, Praphula Kumar, et al.. (2022). Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews. Multimedia Tools and Applications. 81(5). 6979–6994. 11 indexed citations
8.
Pamula, Rajendra, et al.. (2022). Heterogeneous Load Balancing using Predictive Load Summarization. Wireless Personal Communications. 125(2). 1075–1093. 2 indexed citations
9.
Jain, Praphula Kumar, Gautam Srivastava, Jerry Chun‐Wei Lin, & Rajendra Pamula. (2022). Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews. IEEE Transactions on Computational Social Systems. 9(6). 1777–1784. 27 indexed citations
10.
Jain, Praphula Kumar, et al.. (2022). 6G Communication Networks: Introduction, Vision, Challenges, and Future Directions. Wireless Personal Communications. 125(2). 1097–1123. 29 indexed citations
11.
Jain, Praphula Kumar & Anand Prakash. (2022). Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach. Wireless Personal Communications. 125(4). 3443–3460. 9 indexed citations
12.
Jain, Praphula Kumar, et al.. (2021). A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality. The International Arab Journal of Information Technology. 19(1). 24 indexed citations
13.
Jain, Praphula Kumar, et al.. (2021). A multi-label ensemble predicting model to service recommendation from social media contents. The Journal of Supercomputing. 78(4). 5203–5220. 29 indexed citations
14.
Jain, Praphula Kumar, et al.. (2021). SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis. Journal of Ambient Intelligence and Humanized Computing. 14(4). 3091–3108. 22 indexed citations
15.
Jain, Praphula Kumar, Vijayalakshmi Saravanan, & Rajendra Pamula. (2021). A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(5). 1–15. 80 indexed citations
16.
Pamula, Rajendra, et al.. (2021). An efficient vehicular-relay selection scheme for vehicular communication. Soft Computing. 27(6). 3443–3459. 11 indexed citations
17.
Jain, Praphula Kumar, et al.. (2021). SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(3). 1–16. 10 indexed citations
18.
Jain, Praphula Kumar, et al.. (2020). Sports result prediction using data mining techniques in comparison with base line model. OPSEARCH. 58(1). 54–70. 16 indexed citations
19.
Jain, Praphula Kumar, et al.. (2020). A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes. Wireless Personal Communications. 113(4). 2447–2461. 9 indexed citations
20.
Jain, Praphula Kumar, et al.. (2018). An efficient use of ensemble methods to predict students academic performance. 1–6. 28 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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