Xiao Shen

942 total citations
41 papers, 662 citations indexed

About

Xiao Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiao Shen has authored 41 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiao Shen's work include Advanced Graph Neural Networks (15 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Complex Network Analysis Techniques (7 papers). Xiao Shen is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Complex Network Analysis Techniques (7 papers). Xiao Shen collaborates with scholars based in China, Hong Kong and Australia. Xiao Shen's co-authors include Fu-Lai Chung, Quanyu Dai, Kup‐Sze Choi, Dan Wang, Q. Li, Liang Zhang, Xiao-Ming Wu, Haofeng Zhang, Guanjin Wang and Li Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Journal of Ethnopharmacology.

In The Last Decade

Xiao Shen

38 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Shen China 13 404 129 107 52 45 41 662
Linlin Liu China 13 343 0.8× 65 0.5× 74 0.7× 40 0.8× 26 0.6× 29 643
Jing Ren China 14 271 0.7× 105 0.8× 48 0.4× 53 1.0× 73 1.6× 41 487
Abhishek Mallik India 12 220 0.5× 151 1.2× 47 0.4× 23 0.4× 96 2.1× 19 464
Guixiang Ma United States 16 330 0.8× 100 0.8× 123 1.1× 56 1.1× 102 2.3× 35 551
Mihai Udrescu Romania 13 127 0.3× 108 0.8× 13 0.1× 92 1.8× 18 0.4× 77 472
Jiaming Shen United States 16 447 1.1× 30 0.2× 58 0.5× 104 2.0× 109 2.4× 57 716
Haixia Long China 13 136 0.3× 24 0.2× 69 0.6× 194 3.7× 18 0.4× 45 536
İnci M. Baytaş United States 8 401 1.0× 26 0.2× 69 0.6× 49 0.9× 39 0.9× 17 565
Xiang Lin China 14 179 0.4× 59 0.5× 142 1.3× 35 0.7× 56 1.2× 42 524

Countries citing papers authored by Xiao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Shen. A scholar is included among the top collaborators of Xiao Shen 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 Xiao Shen. Xiao Shen 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.
Shen, Xiao, et al.. (2025). Hierarchical graph contrastive domain adaptation for multi-source cross-network node classification. Expert Systems with Applications. 284. 127900–127900.
2.
3.
Shen, Xiao, et al.. (2024). Dual separated attention-based graph neural network. Neurocomputing. 599. 128106–128106. 3 indexed citations
4.
Peng, Xue Bin, et al.. (2024). Contrastive domain-adaptive graph selective self-training network for cross-network edge classification. Pattern Recognition. 152. 110448–110448. 2 indexed citations
5.
Dai, Quanyu, Xiao Shen, Xiaochen Xie, et al.. (2024). Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy. Neurocomputing. 580. 127469–127469. 5 indexed citations
6.
Shen, Xiao, Jiang Wang, Yanlin Wang, et al.. (2024). Deep-learning-optimized microstate network analysis for early Parkinson’s disease with mild cognitive impairment. Cognitive Neurodynamics. 18(5). 2589–2604. 1 indexed citations
7.
Shen, Xiao, et al.. (2023). Domain-adaptive message passing graph neural network. Neural Networks. 164. 439–454. 16 indexed citations
8.
Shen, Xiao, et al.. (2023). Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17842–17855. 5 indexed citations
9.
Dai, Quanyu, et al.. (2022). Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution. IEEE Transactions on Knowledge and Data Engineering. 1–1. 64 indexed citations
10.
Zhou, Nan, et al.. (2022). Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization. Applied Intelligence. 53(10). 11599–11617. 2 indexed citations
11.
Chiu, Peter Ka‐Fung, Xiao Shen, Guanjin Wang, et al.. (2021). Enhancement of prostate cancer diagnosis by machine learning techniques: an algorithm development and validation study. Prostate Cancer and Prostatic Diseases. 25(4). 672–676. 40 indexed citations
12.
Shen, Xiao, Guanjin Wang, Rick Yiu Cho Kwan, & Kup‐Sze Choi. (2020). Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. JMIR Medical Informatics. 8(8). e19870–e19870. 8 indexed citations
13.
Shen, Xiao, et al.. (2020). Network Together: Node Classification via Cross-Network Deep Network Embedding. IEEE Transactions on Neural Networks and Learning Systems. 32(5). 1935–1948. 68 indexed citations
14.
Shen, Xiao, et al.. (2019). Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization. IEEE Transactions on Fuzzy Systems. 28(9). 2195–2208. 19 indexed citations
15.
Shen, Xiao, et al.. (2018). Molluscicidal activity of Solidago canadensis L. extracts on the snail Pomacea canaliculata Lam. Pesticide Biochemistry and Physiology. 149. 104–112. 12 indexed citations
16.
Shen, Xiao & Fu-Lai Chung. (2018). Deep Network Embedding for Graph Representation Learning in Signed Networks. IEEE Transactions on Cybernetics. 50(4). 1556–1568. 83 indexed citations
17.
Shen, Xiao & Fu-Lai Chung. (2017). Deep Network Embedding with Aggregated Proximity Preserving. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 40–43. 12 indexed citations
18.
Gong, Qian, et al.. (2016). Studies of InAs/GaAs quantum dot laser grown by gas source molecular beam epitaxy. Optical and Quantum Electronics. 48(2). 1 indexed citations
19.
Shen, Xiao & Francis C. M. Lau. (2010). Q-ary LDPC decoder with euclidean-distance-based sorting criterion. IEEE Communications Letters. 14(5). 444–446. 3 indexed citations
20.
Shen, Xiao, Sheng Wan, Hong Huo, & Tao Fang. (2006). An Improvement on Discrete Wavelet Transform-based Algorithm for Vehicle Classification in Wireless Sensor Networks. 1–4. 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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