Ali Braytee

1.1k total citations
40 papers, 360 citations indexed

About

Ali Braytee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ali Braytee has authored 40 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Ali Braytee's work include Gene expression and cancer classification (5 papers), Structural Health Monitoring Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Ali Braytee is often cited by papers focused on Gene expression and cancer classification (5 papers), Structural Health Monitoring Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Ali Braytee collaborates with scholars based in Australia, India and Lebanon. Ali Braytee's co-authors include Paul Kennedy, Ali Anaissi, Daniel Catchpoole, Ali Altaee, Wei Liu, Madhu Goyal, Lin Ye, Mukesh Prasad, Graeme J. Millar and John L. Zhou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Membrane Science.

In The Last Decade

Ali Braytee

34 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Braytee Australia 12 114 86 72 61 56 40 360
Kai Bian China 10 89 0.8× 58 0.7× 20 0.3× 64 1.0× 64 1.1× 28 374
Yingqi Li China 11 174 1.5× 46 0.5× 42 0.6× 20 0.3× 113 2.0× 41 375
Aziguli Wulamu China 10 82 0.7× 56 0.7× 11 0.2× 58 1.0× 28 0.5× 44 403
Norliza Mohamed Malaysia 10 59 0.5× 89 1.0× 33 0.5× 23 0.4× 146 2.6× 62 475
Basant Tiwari India 13 116 1.0× 60 0.7× 17 0.2× 54 0.9× 42 0.8× 39 489
Shixin Li China 12 59 0.5× 117 1.4× 12 0.2× 35 0.6× 63 1.1× 70 503
Sarbartha Sarkar India 7 95 0.8× 51 0.6× 36 0.5× 23 0.4× 38 0.7× 8 355
Xinying Wang China 11 186 1.6× 123 1.4× 9 0.1× 43 0.7× 173 3.1× 50 541
Yungang Zhu China 7 120 1.1× 58 0.7× 9 0.1× 24 0.4× 37 0.7× 23 326
Rui Zhu China 15 107 0.9× 286 3.3× 16 0.2× 78 1.3× 29 0.5× 53 540

Countries citing papers authored by Ali Braytee

Since Specialization
Citations

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

Fields of papers citing papers by Ali Braytee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Braytee

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Braytee. A scholar is included among the top collaborators of Ali Braytee 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 Ali Braytee. Ali Braytee 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.
Dashti, Amir, Farid Amirkhani, Mojtaba Raji, et al.. (2026). Review and development of an explicit machine learning model for pollutant gas solubility in ionic liquids as green solvents. Separation and Purification Technology. 393. 137282–137282.
2.
3.
Braytee, Ali, Yu–Kai Wang, A. Baki Kocaballı, et al.. (2025). Emotionally Adaptive Virtual Health Assistants for Enhanced Social Presence and Trust. 1–7.
4.
Chaturvedi, Kunal, et al.. (2024). Early Parkinson’s Disease Diagnosis through Hand-Drawn Spiral and Wave Analysis Using Deep Learning Techniques. Information. 15(4). 220–220. 6 indexed citations
5.
Braytee, Ali, et al.. (2024). Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion. 1841–1848. 12 indexed citations
6.
Cheng, Qian, X. Shi, Shanshan Yao, et al.. (2024). Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. 164–173.
7.
Anaissi, Ali, Ali Braytee, & Junaid Akram. (2024). Fine-Tuning LLMs for Reliable Medical Question-Answering Services. 146–153. 1 indexed citations
8.
Braytee, Ali, Shuxian Tang, Xiaoying Jiang, et al.. (2024). Identification of cancer risk groups through multi-omics integration using autoencoder and tensor analysis. Scientific Reports. 14(1). 11263–11263. 7 indexed citations
9.
Ibrar, Ibrar, Sudesh Yadav, Ali Altaee, et al.. (2023). A machine learning approach for prediction of reverse solute flux in forward osmosis. Journal of Water Process Engineering. 54. 103956–103956. 16 indexed citations
10.
Chaturvedi, Kunal, et al.. (2023). Detecting Human Falls in Poor Lighting: Object Detection and Tracking Approach for Indoor Safety. Electronics. 12(5). 1259–1259. 18 indexed citations
11.
Chaturvedi, Kunal, Ali Braytee, Jun Li, & Mukesh Prasad. (2023). SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. Sensors. 23(7). 3649–3649.
12.
Braytee, Ali, Dongmo Zhang, Andrew Johnston, et al.. (2022). Virtual reality for the observation of oncology models (VROOM): immersive analytics for oncology patient cohorts. Scientific Reports. 12(1). 11337–11337. 10 indexed citations
13.
Ibrar, Ibrar, Sudesh Yadav, Ali Braytee, et al.. (2022). Evaluation of machine learning algorithms to predict internal concentration polarization in forward osmosis. Journal of Membrane Science. 646. 120257–120257. 32 indexed citations
14.
Liu, Jiali, Tianyi Liu, Xinyue Meng, et al.. (2022). VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. 1–9. 1 indexed citations
15.
Abdo, Peter, et al.. (2020). An experimental investigation of the thermal effect due to discharging of phase change material in a room fitted with a windcatcher. Sustainable Cities and Society. 61. 102277–102277. 23 indexed citations
16.
Braytee, Ali, et al.. (2020). Design of airport security screening using queueing theory augmented with particle swarm optimisation. Service Oriented Computing and Applications. 14(2). 119–133. 7 indexed citations
17.
Altaee, Ali, et al.. (2020). Optimization of a Small Wind Turbine for a Rural Area: A Case Study of Deniliquin, New South Wales, Australia. Energies. 13(9). 2292–2292. 21 indexed citations
18.
Altaee, Ali, Ali Braytee, Graeme J. Millar, & Osamah Naji. (2019). Energy efficiency of hollow fibre membrane module in the forward osmosis seawater desalination process. Journal of Membrane Science. 587. 117165–117165. 29 indexed citations
19.
Braytee, Ali, Wei Liu, Daniel Catchpoole, & Paul Kennedy. (2017). Multi-Label Feature Selection using Correlation Information. 1649–1656. 40 indexed citations
20.
Mustapha, Samir, Ali Braytee, & Lin Ye. (2017). Multisource Data Fusion for Classification of Surface Cracks in Steel Pipes. Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems. 1(2). 21007–21007. 18 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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2026