Vahid Seydi

584 total citations
26 papers, 287 citations indexed

About

Vahid Seydi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vahid Seydi has authored 26 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vahid Seydi's work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (8 papers). Vahid Seydi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Evolutionary Algorithms and Applications (8 papers). Vahid Seydi collaborates with scholars based in Iran, United Kingdom and Denmark. Vahid Seydi's co-authors include Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli, Seyed Abdullah Mirtaheri, Somayyeh Chamaani, Mitra Mirzarezaee, Mehdi Hosseinzadeh, Yeganeh Madadi, Reshad Hosseini, Thomas B. Moeslund and Kamal Nasrollahi and has published in prestigious journals such as Machine Learning, Applied Intelligence and Electromagnetic waves.

In The Last Decade

Vahid Seydi

20 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vahid Seydi Iran	7	133	54	46	30	28	26	287
Jeremy Frank United States	10	102 0.8×	77 1.4×	99 2.2×	56 1.9×	30 1.1×	36	342
Lili Wang China	9	109 0.8×	82 1.5×	50 1.1×	24 0.8×	59 2.1×	101	406
Hazem Migdady Jordan	10	93 0.7×	54 1.0×	47 1.0×	7 0.2×	19 0.7×	43	281
Pradnya Vikhar India	3	106 0.8×	39 0.7×	29 0.6×	17 0.6×	47 1.7×	3	289
Bharti Khemani India	4	92 0.7×	31 0.6×	20 0.4×	11 0.4×	56 2.0×	7	305
Jyoti Prakash Sahoo India	6	171 1.3×	35 0.6×	22 0.5×	16 0.5×	86 3.1×	14	361
Tao Du China	12	82 0.6×	108 2.0×	58 1.3×	19 0.6×	54 1.9×	53	375
Asim Imdad Wagan Pakistan	9	93 0.7×	59 1.1×	16 0.3×	94 3.1×	45 1.6×	24	294
Cosmin Păduraru Canada	6	147 1.1×	60 1.1×	110 2.4×	24 0.8×	35 1.3×	10	371

Countries citing papers authored by Vahid Seydi

Since Specialization

Citations

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

Fields of papers citing papers by Vahid Seydi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Seydi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Seydi, Vahid, et al.. (2025). An unsupervised adversarial domain adaptation based on variational auto-encoder. Machine Learning. 114(5). 1 indexed citations

Seydi, Vahid, et al.. (2024). Building semi-supervised decision trees with semi-cart algorithm. International Journal of Machine Learning and Cybernetics. 15(10). 4493–4510. 5 indexed citations

Seydi, Vahid, et al.. (2024). A motif-based probabilistic approach for community detection in complex networks. Journal of Intelligent Information Systems. 62(5). 1285–1303.

Seydi, Vahid, et al.. (2024). Entangled appearance and motion structures network for multi-object tracking and segmentation. Machine Vision and Applications. 36(1).

Seydi, Vahid, et al.. (2022). Community detection in weighted networks using probabilistic generative model. Journal of Intelligent Information Systems. 60(1). 119–136. 5 indexed citations

Broumandnia, Ali, et al.. (2022). A model-based many-objective evolutionary algorithm with multiple reference vectors. Progress in Artificial Intelligence. 11(3). 251–268. 1 indexed citations

Seydi, Vahid, et al.. (2022). Improving graph prototypical network using active learning. Progress in Artificial Intelligence. 11(4). 411–423.

Madadi, Yeganeh, Vahid Seydi, & Reshad Hosseini. (2021). Multi-source domain adaptation-based low-rank representation and correlation alignment. International Journal of Computers and Applications. 44(7). 670–677. 2 indexed citations

Mirzarezaee, Mitra, et al.. (2021). Detection of rumor conversations in Twitter using graph convolutional networks. Applied Intelligence. 51(7). 4774–4787. 26 indexed citations

10.

Seydi, Vahid, et al.. (2021). Adversarial Image Caption Generator Network. SN Computer Science. 2(3). 4 indexed citations

11.

Broumandnia, Ali, et al.. (2021). An improved model‐based evolutionary algorithm for multi‐objective optimization. Concurrency and Computation Practice and Experience. 36(10).

12.

Vahidi, Javad, et al.. (2021). Proposing a New Image Watermarking Method Using Shearlet Transform and Whale Optimization Algorithm. International Journal of Engineering. 34(4). 4 indexed citations

13.

Broumandnia, Ali, et al.. (2020). An inverse model‐based multiobjective estimation of distribution algorithm using Random‐Forest variable importance methods. Computational Intelligence. 38(3). 1018–1056. 7 indexed citations

14.

Madadi, Yeganeh, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, & Thomas B. Moeslund. (2020). Deep visual unsupervised domain adaptation for classification tasks: a survey. IET Image Processing. 14(14). 3283–3299. 24 indexed citations

15.

Seydi, Vahid, et al.. (2017). Improved particle swarm optimization through orthogonal experimental design. 153–158. 4 indexed citations

16.

Seydi, Vahid, et al.. (2013). Neural Networks for Normative Knowledge Source of Cultural Algorithm. International Journal of Computational Intelligence Systems. 7(5). 979–979.

17.

Seydi, Vahid, et al.. (2007). Improving the Non-dominate Sorting Genetic Algorithm for Multi-objective Optimization. 89–92. 7 indexed citations

18.

Seydi, Vahid, Mahdi Aliyari Shoorehdeli, Arash Sharifi, & Mohammad Teshnehlab. (2007). Multi objective optimization of ANFIS structure. 1. 249–253. 1 indexed citations

19.

Seydi, Vahid, Mahdi Aliyari Shoorehdeli, & Mohammad Teshnehlab. (2007). Training ANFIS structure with modified PSO algorithm. 1–6. 88 indexed citations

20.

Seydi, Vahid, et al.. (2007). Improving the Non-dominate Sorting Genetic Algorithm for Multi-objective Optimization. 89–92. 5 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.

Explore authors with similar magnitude of impact