Jana Shafi

2.8k total citations · 1 hit paper
89 papers, 1.7k citations indexed

About

Jana Shafi is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Jana Shafi has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 20 papers in Biomedical Engineering and 16 papers in Computer Networks and Communications. Recurrent topics in Jana Shafi's work include IoT and Edge/Fog Computing (12 papers), Nanofluid Flow and Heat Transfer (9 papers) and Brain Tumor Detection and Classification (8 papers). Jana Shafi is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Nanofluid Flow and Heat Transfer (9 papers) and Brain Tumor Detection and Classification (8 papers). Jana Shafi collaborates with scholars based in Saudi Arabia, India and South Korea. Jana Shafi's co-authors include Muhammad Fazal Ijaz, Marcin Woźniak, Kavita Kavita, Sahil Verma, Parvathaneni Naga Srinivasu, Jaeyoung Choi, Yogesh Kumar, Shalli Rani, S. Phani Praveen and Akash Kumar Bhoi and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and IEEE Access.

In The Last Decade

Jana Shafi

85 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

AI student success predictor: Enhancing personalized learning in campus management systems

2024 49 citations Muhammad Shoaib, Jaiteg Singh et al. Computers in Human Behavior profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jana Shafi Saudi Arabia	25	457	293	262	260	173	89	1.7k
Akash Kumar Bhoi India	26	697 1.5×	325 1.1×	317 1.2×	183 0.7×	188 1.1×	123	2.5k
Dac‐Nhuong Le Vietnam	23	480 1.1×	331 1.1×	351 1.3×	253 1.0×	239 1.4×	111	1.7k
Firuz Kamalov United Arab Emirates	21	826 1.8×	201 0.7×	167 0.6×	275 1.1×	107 0.6×	89	2.2k
Vicente García‐Díaz Spain	24	580 1.3×	398 1.4×	257 1.0×	488 1.9×	119 0.7×	120	2.0k
Flavio Villanustre United States	9	711 1.6×	224 0.8×	296 1.1×	231 0.9×	129 0.7×	20	2.0k
Prashant Kumar Shukla India	26	573 1.3×	254 0.9×	272 1.0×	175 0.7×	374 2.2×	91	2.4k
Dharmendra Singh Rajput India	17	776 1.7×	298 1.0×	290 1.1×	246 0.9×	223 1.3×	95	2.1k
Sami Bourouis Saudi Arabia	29	845 1.8×	424 1.4×	596 2.3×	364 1.4×	249 1.4×	110	2.5k
Abeer D. Algarni Saudi Arabia	23	629 1.4×	428 1.5×	523 2.0×	210 0.8×	216 1.2×	153	2.2k
Hitham Alhussian Malaysia	21	864 1.9×	341 1.2×	274 1.0×	214 0.8×	93 0.5×	69	2.0k

Countries citing papers authored by Jana Shafi

Since Specialization

Citations

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

Fields of papers citing papers by Jana Shafi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Shafi

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

All Works

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20 of 20 papers shown

Arni, Saleh Al, Hakim S. Sultan Aljibori, Jasim M. Mahdi, et al.. (2024). Artificial intelligence-driven analysis of dynamic melting in open shell-and-tube latent-heat storage: Effects of PCM inlet pressure, port geometry, and positioning. Journal of Energy Storage. 105. 114607–114607. 8 indexed citations

Srinivasu, Parvathaneni Naga, et al.. (2024). Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution. International Journal of Applied Mathematics and Computer Science. 34(4). 2 indexed citations

Srinivasu, Parvathaneni Naga, et al.. (2024). Enhancing medical image classification via federated learning and pre-trained model. Egyptian Informatics Journal. 27. 100530–100530. 11 indexed citations

Shoaib, Muhammad, et al.. (2024). AI student success predictor: Enhancing personalized learning in campus management systems. Computers in Human Behavior. 158. 108301–108301. 49 indexed citations breakdown →

Chen, Zhihua, et al.. (2024). Stability Analysis Study of Time-Fractional Nonlinear Modified Kawahara Equation Based on the Homotopy Perturbation Sadik Transform. Fractal and Fractional. 8(9). 512–512. 5 indexed citations

Ghalambaz, Mohammad, Mikhail А. Sheremet, Mohammed Arshad Khan, Zehba Raizah, & Jana Shafi. (2024). Physics-informed neural networks (P INNs): application categories, trends and impact. International Journal of Numerical Methods for Heat & Fluid Flow. 34(8). 3131–3165. 7 indexed citations

Nair, Pranav, Vinay Vakharia, Milind Shah, et al.. (2024). AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions. International Journal of Intelligent Systems. 2024. 1–18. 47 indexed citations

Shafi, Jana, et al.. (2024). Dominations in Intutionistic Fuzzy Directed Graphs with Applications towards Influential Graphs. Mathematics. 12(6). 872–872. 6 indexed citations

Shafi, Jana, Mikhail А. Sheremet, Mehdi Fteïti, Abdulkafi Mohammed Saeed, & Mohammad Ghalambaz. (2023). Computational Study of Phase Change Heat Transfer and Latent Heat Energy Storage for Thermal Management of Electronic Components Using Neural Networks. Mathematics. 11(2). 356–356. 19 indexed citations

10.

Arif, Waqar, et al.. (2023). Some Connectivity Parameters of Interval-Valued Intuitionistic Fuzzy Graphs with Applications. Axioms. 12(12). 1120–1120. 3 indexed citations

11.

Srinivasu, Parvathaneni Naga, et al.. (2023). Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN. IEEE Access. 11. 143757–143770. 4 indexed citations

12.

Shafi, Jana, et al.. (2022). Graph Modelling of Social Internet of Things (S-IoT) centered home automation using medium domination approach. Boletim da Sociedade Paranaense de Matemática. 41. 1–6. 1 indexed citations

13.

Dash, Sonali, Sahil Verma, Kavita Kavita, et al.. (2022). Analysis of Vessel Segmentation Based on Various Enhancement Techniques for Improvement of Vessel Intensity Profile. Computational Intelligence and Neuroscience. 2022. 1–20. 2 indexed citations

14.

Kumar, Mohit, Priya Mukherjee, Sahil Verma, et al.. (2022). BBNSF: Blockchain-Based Novel Secure Framework Using RP2-RSA and ASR-ANN Technique for IoT Enabled Healthcare Systems. Sensors. 22(23). 9448–9448. 18 indexed citations

15.

Mallick, Pradeep Kumar, et al.. (2022). Computational Intelligence for Observation and Monitoring: A Case Study of Imbalanced Hyperspectral Image Data Classification. Computational Intelligence and Neuroscience. 2022. 1–23. 9 indexed citations

16.

Srinivasu, Parvathaneni Naga, et al.. (2022). Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data. Diagnostics. 12(12). 3067–3067. 43 indexed citations

17.

Kumar, Raghvendra, et al.. (2022). A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews. Mathematics. 10(9). 1568–1568. 23 indexed citations

18.

Arora, Mohit, Sahil Verma, Kavita Kavita, et al.. (2022). An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects. Scientific Reports. 12(1). 7974–7974. 21 indexed citations

19.

Dogra, Varun, Sahil Verma, Kavita Kavita, et al.. (2022). A Complete Process of Text Classification System Using State-of-the-Art NLP Models. Computational Intelligence and Neuroscience. 2022. 1–26. 65 indexed citations

20.

Kumar, Yogesh, Apeksha Koul, Pushpendra Singh Sisodia, et al.. (2021). Heart Failure Detection Using Quantum‐Enhanced Machine Learning and Traditional Machine Learning Techniques for Internet of Artificially Intelligent Medical Things. Wireless Communications and Mobile Computing. 2021(1). 60 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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