Elyor Kodirov

2.5k total citations
17 papers, 829 citations indexed

About

Elyor Kodirov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Elyor Kodirov has authored 17 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Biomedical Engineering. Recurrent topics in Elyor Kodirov's work include Domain Adaptation and Few-Shot Learning (6 papers), Human Pose and Action Recognition (5 papers) and Machine Learning and Data Classification (5 papers). Elyor Kodirov is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Human Pose and Action Recognition (5 papers) and Machine Learning and Data Classification (5 papers). Elyor Kodirov collaborates with scholars based in United Kingdom, Malaysia and Bangladesh. Elyor Kodirov's co-authors include Tao Xiang, Shaogang Gong, Zhenyong Fu, Hua Yang, Xinshao Wang, Neil M. Robertson, Guosheng Hu, Romain Garnier, David A. Clifton and Neil Robertson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and arXiv (Cornell University).

In The Last Decade

Elyor Kodirov

17 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elyor Kodirov United Kingdom	10	624	571	108	73	42	17	829
Mengmeng Jing China	15	420 0.7×	619 1.1×	77 0.7×	25 0.3×	26 0.6×	29	797
Kaichao You China	9	341 0.5×	463 0.8×	65 0.6×	26 0.4×	15 0.4×	11	673
Xide Xia United States	5	678 1.1×	866 1.5×	79 0.7×	18 0.2×	16 0.4×	5	1.1k
Minghao Xu China	9	483 0.8×	493 0.9×	92 0.9×	19 0.3×	12 0.3×	11	675
Minghao Chen China	8	372 0.6×	340 0.6×	71 0.7×	43 0.6×	10 0.2×	13	545
Junbao Zhuo China	7	405 0.6×	499 0.9×	65 0.6×	19 0.3×	12 0.3×	19	656
Zhenyong Fu China	10	518 0.8×	689 1.2×	177 1.6×	13 0.2×	74 1.8×	13	802
Spyros Gidaris France	6	516 0.8×	561 1.0×	120 1.1×	18 0.2×	17 0.4×	13	819
Binhui Xie China	11	393 0.6×	549 1.0×	83 0.8×	14 0.2×	16 0.4×	12	745

Countries citing papers authored by Elyor Kodirov

Since Specialization

Citations

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

Fields of papers citing papers by Elyor Kodirov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elyor Kodirov

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

All Works

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17 of 17 papers shown

Wang, Xinshao, Hua Yang, Elyor Kodirov, & Neil M. Robertson. (2021). Ranked List Loss for Deep Metric Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 12 indexed citations

Wang, Xinshao, Hua Yang, Elyor Kodirov, David A. Clifton, & Neil M. Robertson. (2021). ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. Research Portal (Queen's University Belfast). 752–761. 41 indexed citations

Wang, Xinshao, et al.. (2020). ProSelfLC: Progressive Self Label Correction for Target Revising in Label Noise.. arXiv (Cornell University). 1 indexed citations

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Improved Mean Absolute Error for Learning Meaningful Patterns from Abnormal Training Data. arXiv (Cornell University). 7 indexed citations

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Derivative Manipulation For Adjusting Emphasis Density Function: A General Example Weighting Framework. arXiv (Cornell University). 1 indexed citations

Wang, Xinshao, Hua Yang, Elyor Kodirov, et al.. (2019). Ranked List Loss for Deep Metric Learning. 5202–5211. 150 indexed citations

Wang, Xinshao, Elyor Kodirov, Hua Yang, & Neil M. Robertson. (2019). Improving MAE against CCE under Label Noise.. arXiv (Cornell University). 6 indexed citations

Wang, Xinshao, et al.. (2019). Emphasis Regularisation by Gradient Rescaling for Training Deep Neural Networks with Noisy Labels.. arXiv (Cornell University). 4 indexed citations

Yang, Hua, et al.. (2019). GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification. Research Portal (Queen's University Belfast). 1175–1184. 2 indexed citations

10.

Wang, Xinshao, Hua Yang, Elyor Kodirov, Guosheng Hu, & Neil Robertson. (2019). Deep Metric Learning by Online Soft Mining and Class-Aware Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5361–5368. 31 indexed citations

11.

Yang, Hua, et al.. (2018). Cross-View Discriminative Feature Learning for Person Re-Identification. IEEE Transactions on Image Processing. 27(11). 5338–5349. 23 indexed citations

12.

Fu, Zhenyong, Tao Xiang, Elyor Kodirov, & Shaogang Gong. (2017). Zero-Shot Learning on Semantic Class Prototype Graph. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(8). 2009–2022. 72 indexed citations

13.

Kodirov, Elyor, Tao Xiang, Zhenyong Fu, & Shaogang Gong. (2016). Learning Robust Graph Regularisation for Subspace Clustering. 138.1–138.12. 9 indexed citations

14.

Kodirov, Elyor, Tao Xiang, Zhenyong Fu, & Shaogang Gong. (2015). Unsupervised Domain Adaptation for Zero-Shot Learning. 2452–2460. 243 indexed citations

15.

Kodirov, Elyor, Tao Xiang, & Shaogang Gong. (2015). Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification. 44.1–44.12. 73 indexed citations

16.

Fu, Zhenyong, Tao Xiang, Elyor Kodirov, & Shaogang Gong. (2015). Zero-shot object recognition by semantic manifold distance. 2635–2644. 147 indexed citations

17.

Kodirov, Elyor, et al.. (2012). Arm's Flex when Responding Call for Implicit User Authentication in Smartphone. 7 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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