Farzin Yaghmaee

449 total citations
37 papers, 266 citations indexed

About

Farzin Yaghmaee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Farzin Yaghmaee has authored 37 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Farzin Yaghmaee's work include Human Pose and Action Recognition (10 papers), Video Analysis and Summarization (8 papers) and Multimodal Machine Learning Applications (6 papers). Farzin Yaghmaee is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Analysis and Summarization (8 papers) and Multimodal Machine Learning Applications (6 papers). Farzin Yaghmaee collaborates with scholars based in Iran, United States and Germany. Farzin Yaghmaee's co-authors include Mohammad Karim Sohrabi, Mansour Jamzad, Vafa Maihami, Malihe Danesh, Reza Ebrahimpour, Abdorreza Alavi Gharahbagh and Abbas Dideban and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Neurocomputing.

In The Last Decade

Farzin Yaghmaee

34 papers receiving 248 citations

Peers

Farzin Yaghmaee

CVPR

Ruimin Wang China

Malik Tahir Hassan Pakistan

Jiajun Shen China

Yujie Mo China

Junyi Li China

Shantaram Vasikarla India

Lingyun Song China

Paul Swoboda Germany

Hongyang Zhang China

Yiming Yang China

Ruimin Wang China

Farzin Yaghmaee

98 ×0.7

CVPR

110 ×1.0

48 ×1.9

7 ×0.3

24 ×1.4

Citations per year, relative to Farzin Yaghmaee Farzin Yaghmaee (= 1×) peers Ruimin Wang

Countries citing papers authored by Farzin Yaghmaee

Since Specialization

Citations

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

Fields of papers citing papers by Farzin Yaghmaee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzin Yaghmaee

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

All Works

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20 of 20 papers shown

Sohrabi, Mohammad Karim, et al.. (2024). Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and reinforcement learning. Information Sciences. 689. 121449–121449. 6 indexed citations

Yaghmaee, Farzin, et al.. (2024). Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning. Biomedical Signal Processing and Control. 100. 106920–106920. 3 indexed citations

Danesh, Malihe, et al.. (2023). A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications. Expert Systems. 40(6).

Yaghmaee, Farzin, et al.. (2022). Improved use of descriptors for early recognition of actions in video. Multimedia Tools and Applications. 82(2). 2617–2633.

Dideban, Abbas, et al.. (2022). A METHOD FOR IMPROVING REASONING AND REALIZATION PROBLEM SOLVING IN DESCRIPTIVE LOGIC- BASED AND ONTOLOGY-BASED REASONERS. Malaysian Journal of Computer Science. 35(1). 37–55. 1 indexed citations

Sohrabi, Mohammad Karim, et al.. (2022). Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks. Information Processing & Management. 59(3). 102929–102929. 58 indexed citations

Yaghmaee, Farzin, et al.. (2021). Early-stopped learning for action prediction in videos. International Journal of Multimedia Information Retrieval. 10(4). 219–226. 2 indexed citations

Danesh, Malihe, et al.. (2020). Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning. The Journal of Supercomputing. 77(4). 4107–4134. 6 indexed citations

Yaghmaee, Farzin, et al.. (2019). Efficient encoding of video descriptor distribution for action recognition. Multimedia Tools and Applications. 79(9-10). 6025–6043. 4 indexed citations

10.

Yaghmaee, Farzin, et al.. (2018). Motion pattern based representation for improving human action retrieval. Multimedia Tools and Applications. 77(19). 26009–26032. 5 indexed citations

11.

Gharahbagh, Abdorreza Alavi & Farzin Yaghmaee. (2018). Gradient‐based approach to offline text‐independent Persian writer identification. IET Biometrics. 8(2). 144–149. 2 indexed citations

12.

Maihami, Vafa & Farzin Yaghmaee. (2018). Automatic image annotation using community detection in neighbor images. Physica A Statistical Mechanics and its Applications. 507. 123–132. 11 indexed citations

13.

Maihami, Vafa & Farzin Yaghmaee. (2017). A genetic-based prototyping for automatic image annotation. Computers & Electrical Engineering. 70. 400–412. 5 indexed citations

14.

Yaghmaee, Farzin, et al.. (2017). Improving evolutionary decision tree induction with multi‐interval discretization. Computational Intelligence. 34(2). 495–514. 6 indexed citations

15.

Yaghmaee, Farzin, et al.. (2017). Sparse representation and convolutional neural networks for 3D human pose estimation. 188–192. 2 indexed citations

16.

Yaghmaee, Farzin, et al.. (2016). A novel video recommendation system based on efficient retrieval of human actions. Physica A Statistical Mechanics and its Applications. 457. 607–623. 10 indexed citations

17.

Yaghmaee, Farzin, et al.. (2016). Introducing New Trends for Persian CAPTCHA. SHILAP Revista de lepidopterología. 4(2). 119–126. 2 indexed citations

18.

Yaghmaee, Farzin, et al.. (2016). A review on human action analysis in videos for retrieval applications. Artificial Intelligence Review. 46(4). 485–514. 37 indexed citations

19.

Yaghmaee, Farzin, et al.. (2014). Content-based human actions retrieval by a novel low complex action representation. 33. 204–208. 2 indexed citations

20.

Yaghmaee, Farzin & Mansour Jamzad. (2010). Estimating Watermarking Capacity in Gray Scale Images Based on Image Complexity. EURASIP Journal on Advances in Signal Processing. 2010(1). 28 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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