Alimjan Aysa

536 total citations
32 papers, 277 citations indexed

About

Alimjan Aysa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Alimjan Aysa has authored 32 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Alimjan Aysa's work include Handwritten Text Recognition Techniques (14 papers), Vehicle License Plate Recognition (10 papers) and Text and Document Classification Technologies (6 papers). Alimjan Aysa is often cited by papers focused on Handwritten Text Recognition Techniques (14 papers), Vehicle License Plate Recognition (10 papers) and Text and Document Classification Technologies (6 papers). Alimjan Aysa collaborates with scholars based in China and Italy. Alimjan Aysa's co-authors include Kurban Ubul, Xuebin Xu, Donato Impedovo, Giuseppe Pirlo, Enguang Zuo, Xiaoyi Lv, Yiwen Wang, Chen Chen, Wenxiong Kang and Bing Chen and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Alimjan Aysa

26 papers receiving 269 citations

Peers

Alimjan Aysa
Kurban Ubul China
Ce Gao China
Lijuan Liu China
Chandrashekar M Patil India
Mahmoud Mejdoub Tunisia
Yang Mi China
Miloš Oravec Slovakia
A. Vinay India
S. Mohamed Mansoor Roomi India
Harsh Jain India
Kurban Ubul China
Alimjan Aysa
Citations per year, relative to Alimjan Aysa Alimjan Aysa (= 1×) peers Kurban Ubul

Countries citing papers authored by Alimjan Aysa

Since Specialization
Citations

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

Fields of papers citing papers by Alimjan Aysa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alimjan Aysa

This figure shows the co-authorship network connecting the top 25 collaborators of Alimjan Aysa. A scholar is included among the top collaborators of Alimjan Aysa 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 Alimjan Aysa. Alimjan Aysa 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.
Li, Wanying, et al.. (2025). Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification. Complex & Intelligent Systems. 11(9).
2.
Aysa, Alimjan, et al.. (2025). DPA-MVSNet: Dynamic Context Perception Multi-view Stereo with transformers and data augmentation. Knowledge-Based Systems. 325. 113852–113852.
3.
Wang, Dong, et al.. (2025). A comprehensive review of non-Latin natural scene text detection and recognition techniques. Engineering Applications of Artificial Intelligence. 156. 111107–111107. 1 indexed citations
4.
Aysa, Alimjan, et al.. (2025). Mamba meets tracker: exploiting token aggregation and diffusion for robust unmanned aerial vehicles tracking. Complex & Intelligent Systems. 11(4). 1 indexed citations
5.
Aysa, Alimjan, et al.. (2025). Script identification in multilingual environment: a survey in recent years. Artificial Intelligence Review. 58(10). 1 indexed citations
6.
7.
8.
Zhang, Zhiyun, et al.. (2023). EA-ConvNeXt: An Approach to Script Identification in Natural Scenes Based on Edge Flow and Coordinate Attention. Electronics. 12(13). 2837–2837. 3 indexed citations
9.
Zuo, Enguang, Alimjan Aysa, Chen Chen, et al.. (2023). SUCOLA: Self-adaptive structure refinement unsupervised contrastive learning framework for food safety risk early warning. Engineering Applications of Artificial Intelligence. 126. 107016–107016. 4 indexed citations
10.
Aysa, Alimjan, et al.. (2023). Multimodal sentiment system and method based on CRNN-SVM. Neural Computing and Applications. 35(35). 24713–24725. 10 indexed citations
11.
Aysa, Alimjan, et al.. (2023). Knowledge-Fusion-Based Iterative Graph Structure Learning Framework for Implicit Sentiment Identification. Sensors. 23(14). 6257–6257. 4 indexed citations
12.
Zhang, Zhiyun, et al.. (2023). FAS-Res2net: An Improved Res2net-Based Script Identification Method for Natural Scenes. Applied Sciences. 13(7). 4434–4434. 2 indexed citations
13.
Aysa, Alimjan, et al.. (2023). FC-ResNet: A Multilingual Handwritten Signature Verification Model Using an Improved ResNet with CBAM. Applied Sciences. 13(14). 8022–8022. 6 indexed citations
14.
Wang, Yiwen, et al.. (2022). Scene Uyghur Text Detection Based on Fine-Grained Feature Representation. Sensors. 22(12). 4372–4372. 8 indexed citations
15.
Zuo, Enguang, et al.. (2022). Anomaly Score-Based Risk Early Warning System for Rapidly Controlling Food Safety Risk. Foods. 11(14). 2076–2076. 10 indexed citations
16.
Xu, Xuebin, et al.. (2022). Multilingual Handwritten Signature Recognition Based on High-Dimensional Feature Fusion. Information. 13(10). 496–496. 7 indexed citations
17.
Zuo, Enguang, et al.. (2021). Context aware semantic adaptation network for cross domain implicit sentiment classification. Scientific Reports. 11(1). 22038–22038. 2 indexed citations
18.
Kang, Wenxiong, et al.. (2021). Off Line Handwritten Signature Verification Based on Feature Fusion. 260–265.
19.
Zhou, Wenjie, et al.. (2020). Keyword-based Uyghur Document Image Retrieval. 218–224.
20.
Ubul, Kurban, et al.. (2017). Script Identification of Multi-Script Documents: a Survey. IEEE Access. 1–1. 41 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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