Xiaoyan Kui

1.5k total citations
102 papers, 943 citations indexed

About

Xiaoyan Kui is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xiaoyan Kui has authored 102 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 29 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Xiaoyan Kui's work include Energy Efficient Wireless Sensor Networks (13 papers), Mobile Ad Hoc Networks (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Xiaoyan Kui is often cited by papers focused on Energy Efficient Wireless Sensor Networks (13 papers), Mobile Ad Hoc Networks (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Xiaoyan Kui collaborates with scholars based in China, France and United States. Xiaoyan Kui's co-authors include Albert Y. Zomaya, Wei Liang, Kuan‐Ching Li, Jing Long, Shigeng Zhang, Junbin Liang, Jianxin Wang, Beiji Zou, Kehua Guo and Ming Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xiaoyan Kui

85 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Kui China 18 362 250 243 209 124 102 943
Hesham Alhumyani Saudi Arabia 20 287 0.8× 292 1.2× 265 1.1× 339 1.6× 156 1.3× 64 1.2k
Shahram Latifi United States 18 545 1.5× 203 0.8× 285 1.2× 214 1.0× 145 1.2× 126 1.1k
Sadaqat Ur Rehman China 20 242 0.7× 309 1.2× 185 0.8× 284 1.4× 119 1.0× 34 1.0k
Farhan Amin South Korea 18 302 0.8× 242 1.0× 80 0.3× 190 0.9× 148 1.2× 72 852
Mohammed Nasser Al‐Mhiqani Malaysia 13 341 0.9× 228 0.9× 108 0.4× 109 0.5× 204 1.6× 29 772
Khalid Abualsaud Qatar 17 219 0.6× 229 0.9× 232 1.0× 143 0.7× 101 0.8× 78 877
Samir Elmougy Egypt 17 221 0.6× 338 1.4× 90 0.4× 235 1.1× 151 1.2× 70 935
Muhammad Asim Saudi Arabia 20 321 0.9× 489 2.0× 174 0.7× 569 2.7× 186 1.5× 97 1.4k
Cong Liu China 17 193 0.5× 431 1.7× 128 0.5× 335 1.6× 98 0.8× 73 1.0k
Muhammad Munwar Iqbal Pakistan 16 492 1.4× 445 1.8× 180 0.7× 181 0.9× 191 1.5× 67 1.0k

Countries citing papers authored by Xiaoyan Kui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Kui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Kui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Kui. A scholar is included among the top collaborators of Xiaoyan Kui 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 Xiaoyan Kui. Xiaoyan Kui 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.
Kui, Xiaoyan, Bo Liu, Zhaoqi Sun, et al.. (2025). Med-LVDM: Medical latent variational diffusion model for medical image translation. Biomedical Signal Processing and Control. 106. 107735–107735.
2.
Zou, Beiji, et al.. (2025). A Novel CAPTCHA Recognition System Based on Refined Visual Attention. Computers, materials & continua/Computers, materials & continua (Print). 83(1). 115–136.
3.
Chen, Qiuyang, et al.. (2025). Paying attention to the minute details: Supervised keypoint detection on dense, complex point clouds. Engineering Applications of Artificial Intelligence. 151. 110668–110668.
4.
Zou, Beiji, et al.. (2024). Generation of super-resolution for medical image via a self-prior guided Mamba network with edge-aware constraint. Pattern Recognition Letters. 187. 93–99. 2 indexed citations
5.
Liao, Shenghui, et al.. (2024). Efficient strabismus diagnosis from small samples: Harnessing spatial features for improved accuracy. Journal of Biomedical Informatics. 161. 104759–104759. 1 indexed citations
6.
Zou, Beiji, et al.. (2024). DGCBG-Net: A dual-branch network with global cross-modal interaction and boundary guidance for tumor segmentation in PET/CT images. Computer Methods and Programs in Biomedicine. 250. 108125–108125. 3 indexed citations
7.
Xu, Xin, et al.. (2024). The application of artificial intelligence in diabetic retinopathy: progress and prospects. Frontiers in Cell and Developmental Biology. 12. 1473176–1473176. 10 indexed citations
8.
Zou, Beiji, et al.. (2024). Enhancing cervical cancer diagnosis: Integrated attention-transformer system with weakly supervised learning. Image and Vision Computing. 149. 105193–105193. 7 indexed citations
9.
Zeng, Ying, Yisong Wang, Ming Li, et al.. (2024). Habitat Imaging With Tumoral and Peritumoral Radiomics for Prediction of Lung Adenocarcinoma Invasiveness on Preoperative Chest CT: A Multicenter Study. American Journal of Roentgenology. 223(4). e2431675–e2431675. 16 indexed citations
10.
Zhang, Deyu, et al.. (2024). BatOpt: Optimizing GPU-Based Deep Learning Inference Using Dynamic Batch Processing. IEEE Transactions on Cloud Computing. 12(1). 174–185. 2 indexed citations
11.
Kui, Xiaoyan, et al.. (2024). Improving cancer driver genes identifying based on graph embedding hypergraph and hierarchical synergy dominance model. Expert Systems with Applications. 267. 126173–126173. 1 indexed citations
12.
Liang, Wei, Siqi Xie, Kuan‐Ching Li, et al.. (2024). MC-DSC: A Dynamic Secure Resource Configuration Scheme Based on Medical Consortium Blockchain. IEEE Transactions on Information Forensics and Security. 19. 3525–3538. 17 indexed citations
13.
14.
Zeng, Meng, Beiji Zou, Wensheng Zhang, et al.. (2023). Two-layer partitioned and deletable deep bloom filter for large-scale membership query. Information Systems. 119. 102267–102267. 3 indexed citations
15.
Chen, Weidao, Yijie Huang, Yisong Wang, et al.. (2023). Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma. La radiologia medica. 128(12). 1483–1496. 31 indexed citations
16.
Guo, Kehua, et al.. (2023). Generalize Deep Neural Networks With Adaptive Regularization for Classifying. IEEE Transactions on Computational Social Systems. 11(1). 1216–1229. 3 indexed citations
17.
Zeng, Meng, et al.. (2023). PA‐LBF: Prefix‐Based and Adaptive Learned Bloom Filter for Spatial Data. International Journal of Intelligent Systems. 2023(1). 3 indexed citations
18.
Kui, Xiaoyan, et al.. (2020). TVseer: A visual analytics system for television ratings. Visual Informatics. 4(3). 1–11. 6 indexed citations
19.
Kui, Xiaoyan, Amit Samanta, Xiangming Zhu, et al.. (2018). Energy-Aware Temporal Reachability Graphs for Time-Varying Mobile Opportunistic Networks. IEEE Transactions on Vehicular Technology. 67(10). 9831–9844. 10 indexed citations
20.
Liang, Junbin, et al.. (2016). Secure Data Aggregation for Top- k Queries in Tiered Wireless Sensor Networks.. Ad Hoc & Sensor Wireless Networks. 32. 51–78. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hesham Alhumyani Breakdown of academic impact, for papers by Shahram Latifi Breakdown of academic impact, for papers by Sadaqat Ur Rehman Breakdown of academic impact, for papers by Farhan Amin Breakdown of academic impact, for papers by Mohammed Nasser Al‐Mhiqani Breakdown of academic impact, for papers by Khalid Abualsaud Breakdown of academic impact, for papers by Samir Elmougy Breakdown of academic impact, for papers by Muhammad Asim Breakdown of academic impact, for papers by Cong Liu Breakdown of academic impact, for papers by Muhammad Munwar Iqbal
Rankless by CCL
2026