Xiaoyong Liu

2.1k total citations
60 papers, 1.4k citations indexed

About

Xiaoyong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaoyong Liu has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Xiaoyong Liu's work include Information Retrieval and Search Behavior (8 papers), Topic Modeling (7 papers) and Neural Networks and Applications (6 papers). Xiaoyong Liu is often cited by papers focused on Information Retrieval and Search Behavior (8 papers), Topic Modeling (7 papers) and Neural Networks and Applications (6 papers). Xiaoyong Liu collaborates with scholars based in China, United States and Russia. Xiaoyong Liu's co-authors include W. Bruce Croft, Huajing Fang, Sai Li, Matthew B. Koll, Pei Lü, Xi Lu, Zhiyong Xu, Qingchang Tan, Hongwei Zhao and Guangwei Meng and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Small and Optics Letters.

In The Last Decade

Xiaoyong Liu

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyong Liu China 17 773 557 335 109 99 60 1.4k
Bo Wu United States 23 634 0.8× 309 0.6× 711 2.1× 76 0.7× 80 0.8× 90 1.6k
Sen Liu China 20 1.3k 1.7× 353 0.6× 170 0.5× 132 1.2× 119 1.2× 98 2.1k
Liang Hu China 20 368 0.5× 476 0.9× 194 0.6× 43 0.4× 70 0.7× 139 1.3k
Deepak Garg India 19 396 0.5× 238 0.4× 392 1.2× 30 0.3× 92 0.9× 166 1.5k
Peijun Ma China 16 231 0.3× 276 0.5× 248 0.7× 136 1.2× 76 0.8× 71 990
Jialei Wang United States 18 789 1.0× 152 0.3× 251 0.7× 24 0.2× 58 0.6× 35 1.3k

Countries citing papers authored by Xiaoyong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyong Liu. A scholar is included among the top collaborators of Xiaoyong Liu 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 Xiaoyong Liu. Xiaoyong Liu 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.
Wang, Peiyuan, Jun-Peng Lin, Hao He, et al.. (2025). Surgical Outcomes of Robotic, Minimally Invasive, and Open Esophagectomy After Neoadjuvant Therapy: a Propensity Score-Matching Study. Annals of Surgical Oncology. 33(3). 2103–2113.
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Zhang, Hongming, et al.. (2024). Sparse Channel Estimation Aided Federated Learning Assisted Non-Terrestral Network. 74–78. 1 indexed citations
4.
Xie, Feng, Pei Lü, & Xiaoyong Liu. (2024). Asymmetric convolutional modulation network for efficient image super-resolution. Knowledge-Based Systems. 301. 112274–112274. 4 indexed citations
5.
Xie, Feng, Pei Lü, & Xiaoyong Liu. (2023). Multi-scale convolutional attention network for lightweight image super-resolution. Journal of Visual Communication and Image Representation. 95. 103889–103889. 7 indexed citations
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Zhang, Yue, Yuqing Hu, Huihui Li, & Xiaoyong Liu. (2022). Drug-protein interaction prediction via variational autoencoders and attention mechanisms. Frontiers in Genetics. 13. 1032779–1032779. 8 indexed citations
8.
Liu, Xiaoyong, et al.. (2021). Multi‐objective optimization of main bearing assembly structure based on improved NSGA‐II. Energy Science & Engineering. 10(1). 43–63. 7 indexed citations
9.
Liu, Xiaoyong, et al.. (2020). A Self-Adaptive Selection of Subset Size Method in Digital Image Correlation Based on Shannon Entropy. IEEE Access. 8. 184822–184833. 6 indexed citations
10.
Liu, Xiaoyong. (2014). Ant Colony Optimization Algorithm Based on Dynamical Pheromones for Clustering Analysis. International Journal of Hybrid Information Technology. 7(2). 29–38. 5 indexed citations
11.
Li, Dahai, et al.. (2010). Accurate retrieval algorithm of amplitude from radial-shearing interferogram. Optics Letters. 35(18). 3054–3054. 4 indexed citations
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Liu, Xiaoyong. (2009). An improvement Logistic model based on multiple objective genetic algorithm. 25. 2292–2295. 1 indexed citations
15.
Li, Jianyong, et al.. (2009). Design of continuous climbing pneumatic cable maintenance robot. 4633–4637. 14 indexed citations
16.
Liu, Xiaoyong & W. Bruce Croft. (2008). Evaluating text representations for retrieval of the best group of documents. 454–462. 33 indexed citations
17.
Liu, Xiaoyong. (2007). Designing Principles Cooking Pot Imitation Motion Mechanism for Robot Cooking. Food Science. 3 indexed citations
18.
Liu, Xiaoyong. (2005). Drainage Basin Water Resource Management System based on GIS System Integrated Technology. 1 indexed citations
19.
Liu, Xiaoyong & W. Bruce Croft. (2004). Cluster-based retrieval using language models. 186–193. 303 indexed citations
20.
Corrada-Emmanuel, Andrés, et al.. (2003). UMass at TREC 2003: HARD and QA. Defense Technical Information Center (DTIC). 715–725. 8 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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