Xiaoran Yan

2.7k total citations · 1 hit paper
63 papers, 1.7k citations indexed

About

Xiaoran Yan is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoran Yan has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoran Yan's work include Complex Network Analysis Techniques (13 papers), Nanocomposite Films for Food Packaging (9 papers) and Advanced Graph Neural Networks (8 papers). Xiaoran Yan is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Nanocomposite Films for Food Packaging (9 papers) and Advanced Graph Neural Networks (8 papers). Xiaoran Yan collaborates with scholars based in China, United States and Australia. Xiaoran Yan's co-authors include Kristina Lerman, Xin-Zeng Wu, Xiangyou Wang, Meng Cheng, Juan Wang, Rongfei Zhang, Yingjun Cui, Peixin Zhao, Yirong Wang and Olaf Sporns and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Xiaoran Yan

60 papers receiving 1.6k citations

Hit Papers

The "Majority Illusion" in Social Networks 2016 2026 2019 2022 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The "Majority Illusion" in Social Networks
    2016 537 citations Xiaoran Yan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoran Yan China 17 363 239 196 185 177 63 1.7k
Yafang Li China 20 91 0.3× 114 0.5× 215 1.1× 41 0.2× 68 0.4× 92 1.4k
Jiajun Liu China 28 119 0.3× 98 0.4× 228 1.2× 31 0.2× 52 0.3× 213 3.0k
Fushing Hsieh United States 34 192 0.5× 71 0.3× 266 1.4× 1.3k 7.2× 398 2.2× 164 4.1k
Per Ahlgren Sweden 16 197 0.5× 176 0.7× 256 1.3× 25 0.1× 80 0.5× 59 1.4k
Małgorzata Kowalska Poland 17 106 0.3× 29 0.1× 137 0.7× 520 2.8× 225 1.3× 113 2.6k
Ye Ye China 24 26 0.1× 194 0.8× 226 1.2× 52 0.3× 130 0.7× 162 2.1k
Huaping Zhang China 22 115 0.3× 55 0.2× 583 3.0× 81 0.4× 206 1.2× 123 2.1k
Meng Liu China 23 50 0.1× 57 0.2× 209 1.1× 36 0.2× 133 0.8× 153 1.9k
Karen A. F. Copeland United States 14 52 0.1× 23 0.1× 240 1.2× 137 0.7× 105 0.6× 28 2.9k
Kinley Larntz United States 22 31 0.1× 34 0.1× 162 0.8× 277 1.5× 132 0.7× 54 3.6k

Countries citing papers authored by Xiaoran Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoran Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoran Yan. A scholar is included among the top collaborators of Xiaoran Yan 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 Xiaoran Yan. Xiaoran Yan 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.
Yan, Xiaoran, Samuel T. Chao, Peng Jia, et al.. (2025). Unraveling the mechanism of anti-electrowetting in enhancing acidic CO2 electrolysis. Applied Catalysis B: Environmental. 371. 125242–125242. 3 indexed citations
2.
Liu, Ximeng, et al.. (2025). VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network. IEEE Transactions on Dependable and Secure Computing. 22(5). 5617–5631. 1 indexed citations
3.
4.
Kong, Xiangjie, et al.. (2025). Oh-FedRec: One-Shot and Heterogeneous Vertical Federated Recommendation System. IEEE Transactions on Consumer Electronics. 71(1). 849–861. 1 indexed citations
5.
Yan, Shubin, et al.. (2025). Multi-Structure-Based Refractive Index Sensor and Its Application in Temperature Sensing. Sensors. 25(2). 412–412. 4 indexed citations
6.
Wang, Benfeng, et al.. (2024). An autoregressive integrated moving average and long short-term memory (ARIM-LSTM) hybrid model for multi-source epidemic data prediction. PeerJ Computer Science. 10. e2046–e2046. 3 indexed citations
7.
Yan, Xiaoran, et al.. (2024). Hier-FUN: Hierarchical Federated Learning and Unlearning in Heterogeneous Edge Computing. IEEE Internet of Things Journal. 12(7). 8653–8668. 2 indexed citations
8.
Li, Huan, Xiangjie Kong, Guojiang Shen, et al.. (2024). Point-Correlate Adversarial Transformer for Unsupervised Multivariate Time Series Anomaly Detection. 297–302. 1 indexed citations
9.
Wan, Liangtian, Lu Sun, Zixun Zhang, et al.. (2024). Flexible Graph Neural Diffusion with Latent Class Representation Learning. 2936–2947. 2 indexed citations
10.
Yan, Shubin, Wen Jiang, Xiaoran Yan, et al.. (2024). Nanoscale temperature sensors based on MIM waveguide coupling and ring-embedded nanostructures. Frontiers in Physics. 12. 1 indexed citations
11.
12.
Wang, Yirong, Meng Cheng, Xiaoran Yan, et al.. (2023). Preparation and characterization of an active packaging film loaded with tea tree oil-hydroxyapatite porous microspheres. Industrial Crops and Products. 199. 116783–116783. 22 indexed citations
13.
Yan, Xiaoran, Meng Cheng, Yirong Wang, et al.. (2023). Evaluation of film packaging containing mesoporous nanosilica and oregano essential oil for postharvest preservation of mushrooms (Agaricus bisporus). Postharvest Biology and Technology. 198. 112263–112263. 44 indexed citations
14.
Wan, Liangtian, Lu Sun, Xianpeng Wang, et al.. (2023). Self-Supervised Teaching and Learning of Representations on Graphs. 489–498. 3 indexed citations
15.
16.
Guo, Meng-Hao, Jinling Jiang, Xiaoran Yan, et al.. (2023). Investigations on Scientific Literature Meta Information Extraction Using Large Language Models. 249–254. 1 indexed citations
17.
Wang, Huanliang, et al.. (2022). DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 9 indexed citations
18.
Chen, Menglin, Xiaoran Yan, Meng Cheng, et al.. (2021). Preparation, characterization and application of poly(lactic acid)/corn starch/eucalyptus leaf essential oil microencapsulated active bilayer degradable film. International Journal of Biological Macromolecules. 195. 264–273. 65 indexed citations
19.
Mabry, Patricia L., et al.. (2020). CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries. Frontiers in Big Data. 3. 556282–556282. 12 indexed citations
20.
Yan, Xiaoran, Cosma Rohilla Shalizi, Florent Krząkała, et al.. (2014). Model selection for degree-corrected block models. Journal of Statistical Mechanics Theory and Experiment. 2014(5). P05007–P05007. 59 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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