Kia Dashtipour

2.7k total citations · 1 hit paper
68 papers, 1.5k citations indexed

About

Kia Dashtipour is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kia Dashtipour has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 19 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Kia Dashtipour's work include Speech and Audio Processing (22 papers), Sentiment Analysis and Opinion Mining (10 papers) and Hearing Loss and Rehabilitation (8 papers). Kia Dashtipour is often cited by papers focused on Speech and Audio Processing (22 papers), Sentiment Analysis and Opinion Mining (10 papers) and Hearing Loss and Rehabilitation (8 papers). Kia Dashtipour collaborates with scholars based in United Kingdom, Saudi Arabia and United Arab Emirates. Kia Dashtipour's co-authors include Amir Hussain, Mandar Gogate, Erik Cambria, Naeem Ramzan, Kamran Arshad, Ahsan Adeel, Ahmad Hawalah, Ahsen Tahir, Alexander Gelbukh and Khaled Assaleh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kia Dashtipour

61 papers receiving 1.4k citations

Hit Papers

Artificial Intelligence–Enabled Analysis of Public Attitu... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kia Dashtipour United Kingdom 22 662 309 198 130 114 68 1.5k
Mandar Gogate United Kingdom 20 642 1.0× 244 0.8× 182 0.9× 21 0.2× 236 2.1× 57 1.3k
Mohammed Ali Al-Garadi United States 17 750 1.1× 207 0.7× 153 0.8× 58 0.4× 97 0.9× 45 1.4k
Emmanuel Agu United States 21 418 0.6× 387 1.3× 180 0.9× 145 1.1× 85 0.7× 150 1.8k
Muhammad Ashad Kabir Australia 23 505 0.8× 187 0.6× 127 0.6× 40 0.3× 151 1.3× 103 1.6k
Yan Shen China 15 301 0.5× 493 1.6× 109 0.6× 74 0.6× 48 0.4× 77 1.1k
Reza Farahbakhsh France 19 504 0.8× 195 0.6× 244 1.2× 95 0.7× 130 1.1× 62 1.4k
Ghulam Mujtaba Pakistan 20 873 1.3× 423 1.4× 157 0.8× 143 1.1× 117 1.0× 42 1.6k
Aaron Striegel United States 23 326 0.5× 186 0.6× 195 1.0× 70 0.5× 149 1.3× 125 1.9k
Gurvinder Singh India 21 574 0.9× 135 0.4× 55 0.3× 43 0.3× 162 1.4× 114 1.4k

Countries citing papers authored by Kia Dashtipour

Since Specialization
Citations

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

Fields of papers citing papers by Kia Dashtipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kia Dashtipour

This figure shows the co-authorship network connecting the top 25 collaborators of Kia Dashtipour. A scholar is included among the top collaborators of Kia Dashtipour 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 Kia Dashtipour. Kia Dashtipour 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.
Gogate, Mandar, et al.. (2025). Audio-Visual Feature Synchronization for Robust Speech Enhancement in Hearing Aids. 5205–5212. 1 indexed citations
2.
Dashtipour, Kia, et al.. (2025). Viseme-Gated Multilayer Cross-Attentional Feature Fusion for Cognitively-Inspired Multimodal Speech Enhancement. IEEE Transactions on Audio Speech and Language Processing. 34. 469–481.
3.
Bourouis, Sami, Muhammad Irfan Khattak, Kia Dashtipour, et al.. (2025). Attentional Multimodal Speech Enhancement for Voice User Interface in Consumer Electronics. IEEE Transactions on Consumer Electronics. 71(4). 10123–10133. 2 indexed citations
4.
Dashtipour, Kia, et al.. (2025). Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies. IEEE Access. 13. 69021–69038. 2 indexed citations
5.
Arslan, Tughrul, Kia Dashtipour, Mandar Gogate, et al.. (2025). Privacy-Preserving Facial Emotion Classification With Visual Micro-Doppler Signatures for Hearing Aid Applications. IEEE Transactions on Instrumentation and Measurement. 74. 1–10.
6.
Doctor, Faiyaz, Usama Arshad, Kia Dashtipour, et al.. (2024). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modeling and User Preference Learning. IEEE Transactions on Fuzzy Systems. 32(10). 5400–5412. 2 indexed citations
7.
Gao, Zhi, et al.. (2024). DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement. Knowledge-Based Systems. 297. 111977–111977. 14 indexed citations
8.
Gogate, Mandar, Kia Dashtipour, & Amir Hussain. (2024). Robust Real-Time Audio–Visual Speech Enhancement Based on DNN and GAN. IEEE Transactions on Artificial Intelligence. 6(11). 2860–2869. 8 indexed citations
9.
Yang, Jing, et al.. (2023). Steel surface defect detection based on self-supervised contrastive representation learning with matching metric. Applied Soft Computing. 145. 110578–110578. 25 indexed citations
10.
Varone, Giuseppe, Cosimo Ieracitano, Aybike Özyüksel Çiftçioğlu, et al.. (2023). A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting. Entropy. 25(2). 253–253. 10 indexed citations
11.
Varone, Giuseppe, et al.. (2023). Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning. Computers. 12(6). 126–126. 24 indexed citations
12.
Saeedi, Kawther, et al.. (2023). Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis. IEEE Transactions on Affective Computing. 15(3). 837–846. 20 indexed citations
13.
Wang, Wei-Chien, Mandar Gogate, Kia Dashtipour, et al.. (2022). A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. IEEE Transactions on Artificial Intelligence. 3(5). 833–842. 3 indexed citations
14.
Hussain, Zain, Zakariya Sheikh, Ahsen Tahir, et al.. (2022). Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study. JMIR Public Health and Surveillance. 8(5). e32543–e32543. 21 indexed citations
15.
Dashtipour, Kia, Mandar Gogate, Ahsan Adeel, Hadi Larijani, & Amir Hussain. (2021). Sentiment Analysis of Persian Movie Reviews Using Deep Learning. Entropy. 23(5). 596–596. 68 indexed citations
16.
Nawaz, Haq, Ahsen Tahir, Nauman Ahmed, et al.. (2021). Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models. Entropy. 23(11). 1401–1401. 6 indexed citations
17.
Hussain, Amir, Ahsen Tahir, Zain Hussain, et al.. (2021). Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study. Journal of Medical Internet Research. 23(4). e26627–e26627. 190 indexed citations breakdown →
18.
Gogate, Mandar, Ahsen Tahir, Kia Dashtipour, et al.. (2021). Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts. Entropy. 23(3). 340–340. 52 indexed citations
19.
Varone, Giuseppe, Wadii Boulila, Bilel Benjdira, et al.. (2021). A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. Sensors. 22(1). 129–129. 34 indexed citations
20.
Taylor, William, Kia Dashtipour, Syed Aziz Shah, et al.. (2021). Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine Learning. Sensors. 21(11). 3881–3881. 51 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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