Fardin Akhlaghian

755 total citations · 1 hit paper
15 papers, 574 citations indexed

About

Fardin Akhlaghian is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fardin Akhlaghian has authored 15 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Fardin Akhlaghian's work include Advanced Steganography and Watermarking Techniques (6 papers), Digital Media Forensic Detection (6 papers) and Recommender Systems and Techniques (4 papers). Fardin Akhlaghian is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Digital Media Forensic Detection (6 papers) and Recommender Systems and Techniques (4 papers). Fardin Akhlaghian collaborates with scholars based in Iran, Canada and Iraq. Fardin Akhlaghian's co-authors include Parham Moradi, Sina Tabakhi, Sajad Ahmadian, Kayvan Ghaderi, Habibollah Danyali, Javad Alirezaie and Fatemeh Daneshfar and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Engineering Applications of Artificial Intelligence and Iranian Conference on Electrical Engineering.

In The Last Decade

Fardin Akhlaghian

15 papers receiving 547 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An unsupervised feature selection algorithm based on ant colony optimization

2014 295 citations Sina Tabakhi, Parham Moradi et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fardin Akhlaghian Iran	9	294	248	206	68	58	15	574
Chris Ding United States	9	353 1.2×	283 1.1×	179 0.9×	58 0.9×	60 1.0×	13	671
Chuntao Jiang China	9	182 0.6×	146 0.6×	160 0.8×	85 1.3×	44 0.8×	22	454
Baogang Wei China	16	363 1.2×	200 0.8×	186 0.9×	66 1.0×	109 1.9×	74	754
Karin Kailing Germany	7	391 1.3×	192 0.8×	182 0.9×	78 1.1×	49 0.8×	9	582
Michelangelo Diligenti Italy	13	408 1.4×	168 0.7×	416 2.0×	179 2.6×	42 0.7×	39	836
Yuyin Sun China	10	352 1.2×	358 1.4×	72 0.3×	39 0.6×	85 1.5×	27	652
Weidong Xiao China	13	321 1.1×	80 0.3×	105 0.5×	84 1.2×	83 1.4×	85	601
Zhengquan Xu China	16	194 0.7×	579 2.3×	137 0.7×	135 2.0×	17 0.3×	72	889
Weiyi Liu China	13	275 0.9×	98 0.4×	96 0.5×	111 1.6×	44 0.8×	66	550
Ramlan Mahmod Malaysia	15	404 1.4×	283 1.1×	291 1.4×	202 3.0×	39 0.7×	107	778

Countries citing papers authored by Fardin Akhlaghian

Since Specialization

Citations

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

Fields of papers citing papers by Fardin Akhlaghian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fardin Akhlaghian

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

All Works

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15 of 15 papers shown

1.

Akhlaghian, Fardin, et al.. (2015). A new robust semi-blind image watermarking based on block classification and visual cryptography. 59. 1–6. 3 indexed citations

2.

Akhlaghian, Fardin, et al.. (2015). A new robust video watermarking algorithm against cropping and rotating attacks. 122–127. 6 indexed citations

3.

Moradi, Parham, Sajad Ahmadian, & Fardin Akhlaghian. (2015). An effective trust-based recommendation method using a novel graph clustering algorithm. Physica A Statistical Mechanics and its Applications. 436. 462–481. 106 indexed citations

4.

Moradi, Parham, et al.. (2014). A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains. Physica A Statistical Mechanics and its Applications. 408. 72–84. 49 indexed citations

5.

Moradi, Parham, et al.. (2014). Diversity and separable metrics in over-sampling technique for imbalanced data classification. 152–158. 16 indexed citations

6.

Tabakhi, Sina, Parham Moradi, & Fardin Akhlaghian. (2014). An unsupervised feature selection algorithm based on ant colony optimization. Engineering Applications of Artificial Intelligence. 32. 112–123. 295 indexed citations breakdown →

7.

Ahmadian, Sajad, Parham Moradi, & Fardin Akhlaghian. (2014). An improved model of trust-aware recommender systems using reliability measurements. 98–103. 27 indexed citations

8.

Moradi, Parham, et al.. (2013). Evolutionary based matrix factorization method for collaborative filtering systems. 1–5. 27 indexed citations

9.

Ghaderi, Kayvan, Fardin Akhlaghian, & Parham Moradi. (2013). A new robust semi-blind digital image watermarking approach based on LWT-SVD and fractal images. 203. 1–5. 9 indexed citations

10.

Akhlaghian, Fardin, et al.. (2011). Robust detection of copy-move forgery using texture features. Iranian Conference on Electrical Engineering. 1–4. 9 indexed citations

11.

Akhlaghian, Fardin, et al.. (2010). Robust digital image watermarking using singular value decomposition. 219–224. 8 indexed citations

12.

Akhlaghian, Fardin, et al.. (2010). An improved Adaptive Neural Fuzzy Channel Equalizer. 9. 326–330. 1 indexed citations

13.

Akhlaghian, Fardin, et al.. (2010). A Personalized Search Engine Using Ontology-Based Fuzzy Concept Networks. 31. 137–141. 9 indexed citations

14.

Akhlaghian, Fardin, et al.. (2010). Using the local information of image to identify the source camera. 515–519. 6 indexed citations

15.

Daneshfar, Fatemeh, et al.. (2009). Adaptive and cooperative multi-agent fuzzy system architecture. 30–34. 3 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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