Rinki Gupta

514 total citations
47 papers, 306 citations indexed

About

Rinki Gupta is a scholar working on Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Rinki Gupta has authored 47 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 25 papers in Human-Computer Interaction and 10 papers in Cognitive Neuroscience. Recurrent topics in Rinki Gupta's work include Hand Gesture Recognition Systems (25 papers), Muscle activation and electromyography studies (13 papers) and Gait Recognition and Analysis (10 papers). Rinki Gupta is often cited by papers focused on Hand Gesture Recognition Systems (25 papers), Muscle activation and electromyography studies (13 papers) and Gait Recognition and Analysis (10 papers). Rinki Gupta collaborates with scholars based in India, United Arab Emirates and Canada. Rinki Gupta's co-authors include Arun Kumar, Sreeraman Rajan, Amioy Kumar, Rajendar Bahl, Shamneesh Sharma, Sindhu Hak Gupta, Aman Gupta, Indra Narayan Kar, Shubham Mishra and Ghanapriya Singh and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and Engineering Applications of Artificial Intelligence.

In The Last Decade

Rinki Gupta

41 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rinki Gupta India 10 178 133 89 74 60 47 306
Tse–Yu Pan Taiwan 10 195 1.1× 87 0.7× 87 1.0× 128 1.7× 44 0.7× 40 349
Jaya Prakash Sahoo India 9 203 1.1× 89 0.7× 92 1.0× 114 1.5× 33 0.6× 16 275
Okan Köpüklü Germany 6 183 1.0× 88 0.7× 47 0.5× 194 2.6× 19 0.3× 13 326
Jesus Suarez United States 5 233 1.3× 66 0.5× 34 0.4× 158 2.1× 38 0.6× 7 316
Munir Oudah Australia 5 328 1.8× 88 0.7× 74 0.8× 143 1.9× 55 0.9× 6 413
Zaid Omar Malaysia 10 395 2.2× 207 1.6× 199 2.2× 248 3.4× 89 1.5× 53 661
M. Teja Kiran Kumar India 10 212 1.2× 137 1.0× 98 1.1× 226 3.1× 31 0.5× 18 362
Hyun Seung Yang South Korea 7 186 1.0× 53 0.4× 29 0.3× 190 2.6× 35 0.6× 20 287
Debajit Sarma India 7 217 1.2× 94 0.7× 33 0.4× 144 1.9× 28 0.5× 15 284
E. Kiran Kumar India 14 309 1.7× 192 1.4× 145 1.6× 303 4.1× 43 0.7× 30 511

Countries citing papers authored by Rinki Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Rinki Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinki Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Rinki Gupta. A scholar is included among the top collaborators of Rinki Gupta 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 Rinki Gupta. Rinki Gupta 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
1.
Gupta, Rinki, et al.. (2024). DeepRespNet: A deep neural network for classification of respiratory sounds. Biomedical Signal Processing and Control. 93. 106191–106191. 6 indexed citations
2.
Gupta, Rinki, et al.. (2024). A TinyML solution for an IoT-based communication device for hearing impaired. Expert Systems with Applications. 246. 123147–123147. 7 indexed citations
3.
Gupta, Rinki, et al.. (2024). Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup. Engineering Applications of Artificial Intelligence. 135. 108811–108811. 3 indexed citations
4.
Gupta, Rinki, et al.. (2023). Nocturnal sleep sounds classification with artificial neural network for sleep monitoring. Multimedia Tools and Applications. 83(6). 15693–15709. 5 indexed citations
5.
Gupta, Rinki, et al.. (2023). Deep Learning Ensemble for Recognising Lower Limb Activity. 1–5.
6.
Gupta, Rinki, et al.. (2023). A Weighted Deep Ensemble for Indian Sign Language Recognition. IETE Journal of Research. 70(3). 2493–2500. 5 indexed citations
7.
Singh, Ghanapriya, et al.. (2023). Hybrid deep learning model for wearable sensor‐based stress recognition for Internet of Medical Things (IoMT) system. International Journal of Communication Systems. 37(3). 5 indexed citations
8.
Gupta, Rinki. (2022). Stacking Ensemble of Convolutional Neural Networks for Sign Language Recognition. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–5. 2 indexed citations
9.
Gupta, Rinki, et al.. (2022). Cough Sound based COVID-19 Detection with Stacked Ensemble Model. 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). 4 indexed citations
10.
Gupta, Rinki, et al.. (2021). Continuous sign language recognition using isolated signs data and deep transfer learning. Journal of Ambient Intelligence and Humanized Computing. 14(3). 1531–1542. 33 indexed citations
11.
Gupta, Rinki, et al.. (2021). Detection of Poor Posture using Wearable Sensors and Unsupervised Learning. 9 indexed citations
12.
Gupta, Rinki, et al.. (2020). A Wearable Multisensor Posture Detection System. 818–822. 17 indexed citations
13.
14.
Gupta, Rinki, et al.. (2019). On the Use of Multi-Modal Sensing in Sign Language Classification. 495–500. 4 indexed citations
15.
Gupta, Rinki, et al.. (2019). Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. Computers & Electrical Engineering. 78. 493–503. 37 indexed citations
16.
17.
Gupta, Rinki, et al.. (2018). Channel selection in multi-channel surface electromyogram based hand activity classifier. 33. 1–7. 4 indexed citations
18.
19.
Gupta, Rinki, Arun Kumar, Indra Narayan Kar, & Rajendar Bahl. (2015). Bearings-only tracking of non-maneuvering target with missing bearings data. 148. 1–7. 9 indexed citations
20.
Gupta, Rinki, Arun Kumar, & Rajendar Bahl. (2013). Motion parameter estimation of a radiating point source with multiple tonals using acoustic Doppler analysis. 1–6. 1 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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