Ali Anaissi

985 total citations
54 papers, 493 citations indexed

About

Ali Anaissi is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Information Systems. According to data from OpenAlex, Ali Anaissi has authored 54 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Civil and Structural Engineering and 12 papers in Information Systems. Recurrent topics in Ali Anaissi's work include Structural Health Monitoring Techniques (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Infrastructure Maintenance and Monitoring (8 papers). Ali Anaissi is often cited by papers focused on Structural Health Monitoring Techniques (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Infrastructure Maintenance and Monitoring (8 papers). Ali Anaissi collaborates with scholars based in Australia, India and Pakistan. Ali Anaissi's co-authors include Paul Kennedy, Nguyen Lu Dang Khoa, Madhu Goyal, Ali Braytee, Junaid Akram, Mehrisadat Makki Alamdari, Daniel Catchpoole, Yang Wang, Seid Miad Zandavi and Thierry Rakotoarivelo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Ali Anaissi

49 papers receiving 478 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 Anaissi Australia 14 182 125 72 63 50 54 493
Heder S. Bernardino Brazil 14 388 2.1× 186 1.5× 41 0.6× 17 0.3× 30 0.6× 96 731
Jason Brownlee Australia 4 161 0.9× 26 0.2× 43 0.6× 34 0.5× 65 1.3× 14 420
Djaafar Zouache Algeria 11 310 1.7× 32 0.3× 30 0.4× 76 1.2× 37 0.7× 23 540
Raed Alsini Saudi Arabia 14 302 1.7× 52 0.4× 106 1.5× 55 0.9× 166 3.3× 61 659
Seyede Fatemeh Ghoreishi United States 13 149 0.8× 23 0.2× 78 1.1× 29 0.5× 54 1.1× 32 471
Rui Zhu China 9 149 0.8× 23 0.2× 22 0.3× 53 0.8× 37 0.7× 43 454
Vinícius Veloso de Melo Brazil 13 454 2.5× 50 0.4× 67 0.9× 57 0.9× 27 0.5× 51 701
Jiuqiang Han China 14 74 0.4× 28 0.2× 117 1.6× 170 2.7× 67 1.3× 83 587

Countries citing papers authored by Ali Anaissi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Anaissi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Anaissi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Anaissi. A scholar is included among the top collaborators of Ali Anaissi 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 Anaissi. Ali Anaissi 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.
Chung, Yuk Ying, et al.. (2026). Transforming multi-omics data into images for disease classification: A review of techniques and tools. Journal of Pathology Informatics. 20. 100543–100543.
2.
Akram, Junaid, Walayat Hussain, Rutvij H. Jhaveri, Rajkumar Singh Rathore, & Ali Anaissi. (2025). Dynamic GNN-based multimodal anomaly detection for spatial crowdsourcing drone services. Digital Communications and Networks. 11(5). 1639–1656. 2 indexed citations
3.
Akram, Junaid, et al.. (2025). Secure and Interoperable IoMT-Based Smart Homes. IEEE Consumer Electronics Magazine. 14(4). 100–105. 1 indexed citations
4.
Akram, Junaid, et al.. (2025). Privacy-Preserving Spatial Crowdsourcing Drone Services for Postdisaster Infrastructure Monitoring: A Conditional Federated Learning Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 16272–16291.
5.
Huang, Changqin, Xiaotao Shi, Qintai Hu, et al.. (2025). Cross‐Domain Graph Anomaly Detection via Graph Transfer and Graph Decouple. CAAI Transactions on Intelligence Technology. 10(4). 1089–1103.
6.
Akram, Junaid, et al.. (2024). DroneSSL: Self-Supervised Multimodal Anomaly Detection in Internet of Drone Things. IEEE Transactions on Consumer Electronics. 70(1). 4287–4298. 16 indexed citations
7.
Akram, Junaid, et al.. (2024). Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services. IEEE Transactions on Green Communications and Networking. 8(3). 1061–1075. 17 indexed citations
8.
Akram, Junaid, et al.. (2024). AI-Generated Content-as-a-Service in IoMT-Based Smart Homes: Personalizing Patient Care With Human Digital Twins. IEEE Transactions on Consumer Electronics. 71(1). 1352–1362. 13 indexed citations
9.
Braytee, Ali, et al.. (2024). Ensemble Pretrained Models for Multimodal Sentiment Analysis using Textual and Video Data Fusion. 1841–1848. 12 indexed citations
10.
Akram, Junaid, et al.. (2024). GALTrust: Generative Adverserial Learning-Based Framework for Trust Management in Spatial Crowdsourcing Drone Services. IEEE Transactions on Consumer Electronics. 70(3). 6196–6207. 18 indexed citations
11.
Akram, Junaid, et al.. (2024). Adversarial Label-Flipping Attack and Defense for Anomaly Detection in Spatial Crowdsourcing UAV Services. IEEE Transactions on Consumer Electronics. 71(1). 2163–2174. 4 indexed citations
12.
Cheng, Qian, X. Shi, Shanshan Yao, et al.. (2024). Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration. 164–173.
13.
Anaissi, Ali, Ali Braytee, & Junaid Akram. (2024). Fine-Tuning LLMs for Reliable Medical Question-Answering Services. 146–153. 1 indexed citations
14.
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
15.
Anaissi, Ali, et al.. (2023). A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification. International Journal of Data Science and Analytics. 17(4). 359–371. 1 indexed citations
16.
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
17.
Anaissi, Ali, et al.. (2022). Multi-objective variational autoencoder: an application for smart infrastructure maintenance. Applied Intelligence. 53(10). 12047–12062. 5 indexed citations
18.
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
19.
Tian, Hongda, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, & Fang Chen. (2019). Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. 2813–2821. 10 indexed citations
20.
Anaissi, Ali, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehrisadat Makki Alamdari, & Yang Wang. (2018). Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring. ACM Transactions on Intelligent Systems and Technology. 9(6). 1–20. 15 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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