Neha Soni

451 total citations
14 papers, 224 citations indexed

About

Neha Soni is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Neha Soni has authored 14 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Neha Soni's work include Face and Expression Recognition (4 papers), Brain Tumor Detection and Classification (2 papers) and Medical Image Segmentation Techniques (2 papers). Neha Soni is often cited by papers focused on Face and Expression Recognition (4 papers), Brain Tumor Detection and Classification (2 papers) and Medical Image Segmentation Techniques (2 papers). Neha Soni collaborates with scholars based in India and United States. Neha Soni's co-authors include Enakshi K. Sharma, Amita Kapoor, Narotam Singh, Ross Whitaker, Ken Museth, David E. Breen, Hemal H. Patel and Sanjay Ahuja and has published in prestigious journals such as Multimedia Tools and Applications, Electronics and Journal of Computational Science.

In The Last Decade

Neha Soni

13 papers receiving 200 citations

Peers

Neha Soni

AI

MIS

CVPR

IS

IME

Amita Kapoor India

Zonglin Li China

Peyman Najafirad United States

Malini M. Patil India

Andrew Jones United Kingdom

Kawa Nazemi Germany

Mike Horia Teodorescu United States

Michael Vössing Germany

Damir Kalpić Croatia

Ruchika Gupta India

Amita Kapoor India

Neha Soni

56 ×1.0

AI

51 ×1.1

MIS

30 ×0.7

CVPR

35 ×1.0

IS

32 ×1.0

IME

Citations per year, relative to Neha Soni Neha Soni (= 1×) peers Amita Kapoor

Countries citing papers authored by Neha Soni

Since Specialization

Citations

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

Fields of papers citing papers by Neha Soni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Soni

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

All Works

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14 of 14 papers shown

1.

Soni, Neha, et al.. (2022). Machine learning based Human Enzyme Types, Features, and Amino Acid Sequence-Based Prediction Methods - A Detailed Review. 2022 6th International Conference on Electronics, Communication and Aerospace Technology. 1087–1092.

2.

Soni, Neha, Enakshi K. Sharma, & Amita Kapoor. (2022). Deep neural network and 3D model for face recognition with multiple disturbing environments. Multimedia Tools and Applications. 81(18). 25319–25343. 1 indexed citations

3.

Soni, Neha, Enakshi K. Sharma, & Amita Kapoor. (2021). Novel BSSSO-Based Deep Convolutional Neural Network for Face Recognition with Multiple Disturbing Environments. Electronics. 10(5). 626–626. 3 indexed citations

4.

Soni, Neha, Enakshi K. Sharma, & Amita Kapoor. (2021). Hybrid meta-heuristic algorithm based deep neural network for face recognition. Journal of Computational Science. 51. 101352–101352. 26 indexed citations

5.

Patel, Hemal H. & Neha Soni. (2021). Machine Learning Based Approach For Prediction Of Suicide Related Activity. 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). 967–972. 7 indexed citations

6.

Soni, Neha, Enakshi K. Sharma, Narotam Singh, & Amita Kapoor. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science. 167. 2200–2210. 142 indexed citations

7.

Ahuja, Sanjay & Neha Soni. (2017). Performance Evaluation of Public IaaS Clouds for Web 2.0 Applications Using CloudStone Benchmark. International Journal of Cloud Applications and Computing. 7(1). 72–93. 1 indexed citations

8.

Soni, Neha, Narotam Singh, Amita Kapoor, & Enakshi K. Sharma. (2016). Face recognition using cloud Hopfield neural network. 13. 416–419. 7 indexed citations

9.

Soni, Neha, et al.. (2015). A Novel Method for Music Recommendation using Social Media Tags. International Journal of Computer Applications. 122(2). 37–43. 1 indexed citations

10.

Soni, Neha, et al.. (2014). INCREASING ACCURACY OF K-NEAREST NEIGHBOR CLASSIFIER FOR TEXT CLASSIFICATION. 114–119. 2 indexed citations

11.

Soni, Neha, et al.. (2014). Image Steganography System using Modified BPCS Steganography Method. 3(6). 2 indexed citations

12.

Soni, Neha, et al.. (2013). Analysis and Comparison of Web Document Clustering Algorithms with Lingo. 2(2). 2 indexed citations

13.

Whitaker, Ross, David E. Breen, Ken Museth, & Neha Soni. (2001). Segmentation of Biological Volume Datasets Using a Level-Set Framework. Eurographics. 253–268. 16 indexed citations

14.

Whitaker, Ross, David E. Breen, Ken Museth, & Neha Soni. (2001). A framework for Level Set segmentation of volumetric datasets. 159. 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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