Jatin Bedi

1.8k total citations · 1 hit paper
51 papers, 1.1k citations indexed

About

Jatin Bedi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jatin Bedi has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jatin Bedi's work include Energy Load and Power Forecasting (8 papers), Traffic Prediction and Management Techniques (5 papers) and Smart Grid Energy Management (5 papers). Jatin Bedi is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Traffic Prediction and Management Techniques (5 papers) and Smart Grid Energy Management (5 papers). Jatin Bedi collaborates with scholars based in India, France and Saudi Arabia. Jatin Bedi's co-authors include Durga Toshniwal, Niyaz Ahmad Wani, Ravinder Kumar, Imad Rida, Ashima Anand, Yashwant Singh Patel, Ravinder Kumar, ­ Mamta, Ashutosh Aggarwal and Samarth Godara and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Applied Energy.

In The Last Decade

Jatin Bedi

45 papers receiving 1.1k citations

Hit Papers

DeepXplainer: An interpretable deep learning based approa... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jatin Bedi India 15 527 340 180 175 135 51 1.1k
J. F. Torres Spain 11 445 0.8× 316 0.9× 234 1.3× 131 0.7× 69 0.5× 22 1.1k
Jiaming Li Australia 18 415 0.8× 494 1.5× 50 0.3× 158 0.9× 167 1.2× 44 1.3k
Ali Fiaz United Arab Emirates 7 608 1.2× 243 0.7× 224 1.2× 178 1.0× 99 0.7× 7 972
Zulfiqar Ahmad Khan South Korea 20 895 1.7× 581 1.7× 169 0.9× 267 1.5× 444 3.3× 36 1.7k
Jihoon Moon South Korea 19 896 1.7× 430 1.3× 216 1.2× 328 1.9× 113 0.8× 83 1.4k
Sanjiban Sekhar Roy India 15 199 0.4× 193 0.6× 64 0.4× 183 1.0× 115 0.9× 57 873
Seyed Mohammad Jafar Jalali Australia 15 339 0.6× 358 1.1× 71 0.4× 51 0.3× 141 1.0× 26 813
David Elizondo United Kingdom 20 211 0.4× 719 2.1× 89 0.5× 70 0.4× 182 1.3× 84 1.5k
Hany F. ElYamany Egypt 7 291 0.6× 422 1.2× 66 0.4× 203 1.2× 86 0.6× 15 1.1k
Jingyang Wang China 17 413 0.8× 212 0.6× 499 2.8× 64 0.4× 130 1.0× 89 1.7k

Countries citing papers authored by Jatin Bedi

Since Specialization
Citations

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

Fields of papers citing papers by Jatin Bedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jatin Bedi

This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Bedi. A scholar is included among the top collaborators of Jatin Bedi 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 Jatin Bedi. Jatin Bedi 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
3.
Anand, Ashima, et al.. (2025). Deep learning-based dual watermarking solution for securing medical images in e-healthcare. Knowledge-Based Systems. 330. 114750–114750. 1 indexed citations
4.
Bedi, Jatin, et al.. (2024). A federated learning based approach for wave height prediction in maritime transportation. Ocean Engineering. 314. 119631–119631. 3 indexed citations
5.
Anand, Ashima, Jatin Bedi, Ashutosh Aggarwal, Muhammad Attique Khan, & Imad Rida. (2024). Authenticating and securing healthcare records: A deep learning-based zero watermarking approach. Image and Vision Computing. 145. 104975–104975. 24 indexed citations
6.
Wani, Niyaz Ahmad, Ravinder Kumar, & Jatin Bedi. (2024). Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations. Engineering Applications of Artificial Intelligence. 136. 108939–108939. 32 indexed citations
7.
Bedi, Jatin, et al.. (2024). Effective weight optimization strategy for precise deep learning forecasting models using EvoLearn approach. Scientific Reports. 14(1). 20139–20139. 3 indexed citations
8.
Bedi, Jatin, et al.. (2024). A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting. Complex & Intelligent Systems. 10(3). 4103–4118. 7 indexed citations
9.
Bedi, Jatin, et al.. (2024). Association mining based deep learning approach for financial time-series forecasting. Applied Soft Computing. 155. 111469–111469. 12 indexed citations
10.
Anand, Ashima, Jatin Bedi, & Imad Rida. (2024). MIWET: Medical image watermarking using encryption and fusion technique. Computers & Electrical Engineering. 115. 109114–109114. 19 indexed citations
11.
Wani, Niyaz Ahmad, Jatin Bedi, Ravinder Kumar, Muhammad Attique Khan, & Imad Rida. (2024). Synergizing Fusion Modeling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence. IEEE Transactions on Consumer Electronics. 71(1). 1504–1512. 20 indexed citations
12.
Bedi, Jatin, et al.. (2024). A Transfer Learning Architecture to Detect Faulty Insulators in Powerlines. IEEE Transactions on Power Delivery. 39(2). 1002–1011. 14 indexed citations
13.
Wani, Niyaz Ahmad, Ravinder Kumar, ­ Mamta, Jatin Bedi, & Imad Rida. (2024). Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare. Information Fusion. 110. 102472–102472. 63 indexed citations
14.
Patel, Yashwant Singh & Jatin Bedi. (2023). MAG-D: A multivariate attention network based approach for cloud workload forecasting. Future Generation Computer Systems. 142. 376–392. 32 indexed citations
15.
Wani, Niyaz Ahmad, Ravinder Kumar, & Jatin Bedi. (2023). DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence. Computer Methods and Programs in Biomedicine. 243. 107879–107879. 120 indexed citations breakdown →
16.
Wadhera, Tanu, et al.. (2023). Autism spectrum disorder prediction using bidirectional stacked gated recurrent unit with time-distributor wrapper: an EEG study. Neural Computing and Applications. 35(13). 9803–9818. 12 indexed citations
18.
Anand, Ashima, et al.. (2023). Consumers profiling based federated learning approach for energy load forecasting. Sustainable Cities and Society. 98. 104815–104815. 21 indexed citations
19.
Bedi, Jatin, et al.. (2022). EffViT-COVID: A dual-path network for COVID-19 percentage estimation. Expert Systems with Applications. 213. 118939–118939. 8 indexed citations
20.
Godara, Samarth, Durga Toshniwal, Ram Swaroop Bana, et al.. (2022). AgrIntel: Spatio-temporal profiling of nationwide plant-protection problems using helpline data. Engineering Applications of Artificial Intelligence. 117. 105555–105555. 4 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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