Veenu Rani

431 total citations · 1 hit paper
8 papers, 191 citations indexed

About

Veenu Rani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Veenu Rani has authored 8 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Veenu Rani's work include Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Veenu Rani is often cited by papers focused on Human Pose and Action Recognition (4 papers), Gait Recognition and Analysis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Veenu Rani collaborates with scholars based in India. Veenu Rani's co-authors include Munish Kumar, Krishan Kumar, Ajay Mittal, Harmandeep Kaur, Monika Sachdeva, Aastha Gupta and Ajay Mittal and has published in prestigious journals such as Multimedia Tools and Applications, Archives of Computational Methods in Engineering and Expert Systems.

In The Last Decade

Veenu Rani

6 papers receiving 184 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.

Self-supervised Learning: A Succinct Review

2023 120 citations Veenu Rani, Munish Kumar et al. Archives of Computational Methods in Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Veenu Rani India	5	65	55	49	20	10	8	191
Aamir Wali Pakistan	8	79 1.2×	70 1.3×	31 0.6×	32 1.6×	18 1.8×	34	211
Athina Tsanousa Greece	7	40 0.6×	56 1.0×	36 0.7×	5 0.3×	11 1.1×	20	168
Haekyu Park United States	4	80 1.2×	72 1.3×	11 0.2×	13 0.7×	14 1.4×	6	198
Suresh Guluwadi India	10	85 1.3×	37 0.7×	50 1.0×	81 4.0×	6 0.6×	16	263
Jakeoung Koo South Korea	9	36 0.6×	84 1.5×	61 1.2×	59 3.0×	16 1.6×	22	252
Syed Inthiyaz India	9	71 1.1×	63 1.1×	24 0.5×	27 1.4×	3 0.3×	41	303
Ferhat Bozkurt Türkiye	11	122 1.9×	119 2.2×	34 0.7×	75 3.8×	7 0.7×	38	288
Daoxun Xia China	8	62 1.0×	204 3.7×	47 1.0×	13 0.7×	7 0.7×	24	279
Marwa Elpeltagy Egypt	8	109 1.7×	149 2.7×	34 0.7×	48 2.4×	9 0.9×	9	317
Soumava Kumar Roy Australia	9	67 1.0×	189 3.4×	57 1.2×	5 0.3×	13 1.3×	16	264

Countries citing papers authored by Veenu Rani

Since Specialization

Citations

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

Fields of papers citing papers by Veenu Rani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veenu Rani

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

All Works

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8 of 8 papers shown

1.

Rani, Veenu, Munish Kumar, Aastha Gupta, et al.. (2024). Self-supervised learning for medical image analysis: a comprehensive review. Evolving Systems. 15(4). 1607–1633. 17 indexed citations

2.

Rani, Veenu & Munish Kumar. (2024). Transfer learning for human gait recognition using VGG19: CASIA-A dataset. Multimedia Tools and Applications. 84(22). 25981–25995.

3.

Kaur, Harmandeep, Veenu Rani, & Munish Kumar. (2024). Human activity recognition: A comprehensive review. Expert Systems. 41(11). 12 indexed citations

4.

Rani, Veenu, et al.. (2024). MBTI Personality Type Prediction Using BERT-LSTM and Deep Learning on Social Media Posts. 984–989.

5.

Rani, Veenu, et al.. (2023). Self-supervised Learning: A Succinct Review. Archives of Computational Methods in Engineering. 30(4). 2761–2775. 120 indexed citations breakdown →

6.

Rani, Veenu & Munish Kumar. (2023). DeepNet-Gait: Human Identification by Gait Using Convolutional Neural Network Model. 115–120. 3 indexed citations

7.

Rani, Veenu & Munish Kumar. (2023). Human gait recognition: A systematic review. Multimedia Tools and Applications. 82(24). 37003–37037. 25 indexed citations

8.

Kaur, Harmandeep, Veenu Rani, Munish Kumar, et al.. (2023). Federated learning: a comprehensive review of recent advances and applications. Multimedia Tools and Applications. 83(18). 54165–54188. 14 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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