Deepali Vora

958 total citations · 1 hit paper
56 papers, 464 citations indexed

About

Deepali Vora is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepali Vora has authored 56 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepali Vora's work include Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (6 papers). Deepali Vora is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Topic Modeling (6 papers) and Advanced Text Analysis Techniques (6 papers). Deepali Vora collaborates with scholars based in India, United States and Saudi Arabia. Deepali Vora's co-authors include Ketan Kotecha, Shruti Patil, Lubna A. Gabralla, Bharti Khemani, Ajith Abraham, Sashikala Mishra, Kailash Shaw, Cormac Herley, Ilias O. Pappas and Jyoti Choudrie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Deepali Vora

49 papers receiving 434 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.

A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions

2022 131 citations Bharti Khemani, Shruti Patil et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepali Vora India	12	183	98	74	46	27	56	464
Yafang Wang China	14	221 1.2×	177 1.8×	111 1.5×	39 0.8×	37 1.4×	51	578
Ivano Lauriola Italy	6	266 1.5×	80 0.8×	66 0.9×	42 0.9×	30 1.1×	17	500
Muzamil Ahmed Pakistan	8	290 1.6×	112 1.1×	67 0.9×	44 1.0×	22 0.8×	16	443
Ngo Tung Son Vietnam	15	141 0.8×	130 1.3×	103 1.4×	55 1.2×	50 1.9×	58	523
Anak Agung Putri Ratna Indonesia	12	165 0.9×	58 0.6×	124 1.7×	30 0.7×	12 0.4×	70	371
Hela Ltifi Tunisia	13	156 0.9×	144 1.5×	38 0.5×	26 0.6×	14 0.5×	64	424
Nammee Moon South Korea	10	113 0.6×	66 0.7×	86 1.2×	101 2.2×	47 1.7×	61	418
M. D. Anto Praveena India	10	142 0.8×	76 0.8×	85 1.1×	36 0.8×	14 0.5×	47	398
Tomáš Horváth Slovakia	14	271 1.5×	75 0.8×	173 2.3×	26 0.6×	15 0.6×	40	538

Countries citing papers authored by Deepali Vora

Since Specialization

Citations

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

Fields of papers citing papers by Deepali Vora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepali Vora

This figure shows the co-authorship network connecting the top 25 collaborators of Deepali Vora. A scholar is included among the top collaborators of Deepali Vora 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 Deepali Vora. Deepali Vora 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

Vora, Deepali, et al.. (2025). AI-driven video summarization for optimizing content retrieval and management through deep learning techniques. Scientific Reports. 15(1). 4058–4058. 4 indexed citations

Shah, Divya, et al.. (2024). Urban small-scale hydroponics: A compact, smart home-based hydroponics system. MethodsX. 13. 102998–102998. 2 indexed citations

Khemani, Bharti, Shruti Patil, Ketan Kotecha, & Deepali Vora. (2024). Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks. MethodsX. 12. 102737–102737. 5 indexed citations

Patil, Shruti, et al.. (2024). Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddings. International Journal of Information Technology. 9 indexed citations

Vora, Deepali, et al.. (2024). Automated crack localization for road safety using contextual u-net with spatial-channel feature integration. MethodsX. 13. 102796–102796. 1 indexed citations

Vora, Deepali, et al.. (2024). Behavioral profiling for adaptive video summarization: From generalization to personalization. MethodsX. 13. 102780–102780. 2 indexed citations

Khairnar, Vaishali D., et al.. (2024). Issues and Challenges in Detecting Mental Stress from Multimodal Data Using Machine Intelligence. SN Computer Science. 5(4). 1 indexed citations

Khairnar, Vaishali D., et al.. (2024). Multimodal Abstractive Summarization using bidirectional encoder representations from transformers with attention mechanism. Heliyon. 10(4). e26162–e26162. 2 indexed citations

Vora, Deepali, et al.. (2024). Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions. IEEE Access. 12. 183937–183960. 14 indexed citations

10.

Vora, Deepali, et al.. (2023). Data-driven approach for AI-based crack detection: techniques, challenges, and future scope. Frontiers in Sustainable Cities. 5. 9 indexed citations

11.

Vora, Deepali, et al.. (2023). Analysis of Decentralized Pharmaceutical Supply Chain: A Systematic Review. 9. 800–805. 1 indexed citations

12.

Venkatesh, Divya, et al.. (2023). Improving the Performance of Autonomous Driving through Deep Reinforcement Learning. Sustainability. 15(18). 13799–13799. 9 indexed citations

13.

Joshi, Rahul, et al.. (2023). Data Analytics Technique of Different IP Address Utilized for Cloud Services. 274–278.

14.

Mishra, Sashikala, et al.. (2022). Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data and Cognitive Computing. 6(4). 109–109. 11 indexed citations

15.

Mishra, Sashikala, et al.. (2022). Deep Learning Approaches for Video Compression: A Bibliometric Analysis. Big Data and Cognitive Computing. 6(2). 44–44. 31 indexed citations

16.

Vora, Deepali, et al.. (2019). Free Code Sharing Web Platform with Intelligent Developer Suggestion Tool. International Journal of Engineering and Advanced Technology. 9(2). 2895–2901. 1 indexed citations

17.

Vora, Deepali, et al.. (2018). EDM – survey of performance factors and algorithms applied. International Journal of Engineering & Technology. 7(2.6). 93–93. 9 indexed citations

18.

Vora, Deepali, et al.. (2017). Privacy preservation in SMAC-social networking, mobile network, analytics and cloud computing. 801–806. 1 indexed citations

19.

Tambe, Prajakta & Deepali Vora. (2016). Evolution of the weband E-Learning application. International Conference on Computing for Sustainable Global Development. 1110–1113. 2 indexed citations

20.

Shaikh, Sarah & Deepali Vora. (2016). YARN versus MapReduce — A comparative study. International Conference on Computing for Sustainable Global Development. 1294–1297. 5 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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