Xin Yang

4.4k total citations · 2 hit papers
88 papers, 2.8k citations indexed

About

Xin Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Xin Yang has authored 88 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 33 papers in Computational Theory and Mathematics and 27 papers in Information Systems. Recurrent topics in Xin Yang's work include Rough Sets and Fuzzy Logic (32 papers), Data Mining Algorithms and Applications (19 papers) and Text and Document Classification Technologies (13 papers). Xin Yang is often cited by papers focused on Rough Sets and Fuzzy Logic (32 papers), Data Mining Algorithms and Applications (19 papers) and Text and Document Classification Technologies (13 papers). Xin Yang collaborates with scholars based in China, Japan and Vietnam. Xin Yang's co-authors include Tianrui Li, Dun Liu, Yuezun Li, Pu Sun, Siwei Lyu, Honggang Qi, Hamido Fujita, Peng Xie, Shengdong Du and Kwang‐Ting Cheng and has published in prestigious journals such as Chemical Engineering Journal, IEEE Communications Surveys & Tutorials and Pattern Recognition.

In The Last Decade

Xin Yang

78 papers receiving 2.7k citations

Hit Papers

Celeb-DF: A Large-Scale Challenging Dataset for DeepFake ... 2020 2026 2022 2024 2020 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Yang China 25 1.1k 1.1k 934 512 326 88 2.8k
Ran Wang China 28 614 0.6× 1.5k 1.4× 485 0.5× 270 0.5× 234 0.7× 88 2.4k
Thomas A. Runkler Germany 24 418 0.4× 1.4k 1.3× 236 0.3× 273 0.5× 339 1.0× 132 2.6k
Eneko Osaba Spain 23 212 0.2× 1.3k 1.2× 551 0.6× 183 0.4× 121 0.4× 108 2.5k
Changjing Shang United Kingdom 26 492 0.4× 889 0.8× 307 0.3× 202 0.4× 162 0.5× 162 2.2k
Pei‐Wei Tsai China 25 260 0.2× 792 0.7× 228 0.2× 200 0.4× 80 0.2× 91 2.0k
Jinghui Zhong China 28 260 0.2× 1.9k 1.7× 1.2k 1.3× 183 0.4× 117 0.4× 130 2.9k
Pawan Lingras Canada 28 263 0.2× 975 0.9× 1.1k 1.2× 771 1.5× 339 1.0× 121 2.5k
Rasul Enayatifar Iran 27 1.7k 1.5× 876 0.8× 640 0.7× 105 0.2× 252 0.8× 52 2.7k
Jianwei Zhao China 23 269 0.2× 1.1k 1.0× 403 0.4× 274 0.5× 119 0.4× 44 2.2k
Mustafa Servet Kıran Türkiye 26 452 0.4× 1.6k 1.5× 609 0.7× 92 0.2× 242 0.7× 60 2.6k

Countries citing papers authored by Xin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yang. A scholar is included among the top collaborators of Xin Yang 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 Xin Yang. Xin Yang 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.
Yang, Xin, et al.. (2025). A Systematic Review of Research Tools, Research Status and Improvement Measures for Osteoporosis Awareness in Chinese and International. International Journal of General Medicine. Volume 18. 801–813. 1 indexed citations
2.
Wang, Haozhao, Wenchao Xu, Hong Liu, et al.. (2025). Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. IEEE Communications Surveys & Tutorials. 28. 1059–1098. 4 indexed citations
3.
Yang, Xin, et al.. (2024). Continual three-way decisions via knowledge transfer. Applied Soft Computing. 161. 111750–111750. 2 indexed citations
4.
Wang, Xiangkun, et al.. (2024). Open continual sampling with hypersphere knowledge transfer for rapid feature selection. Applied Soft Computing. 170. 112664–112664. 1 indexed citations
5.
Li, Yanhua, et al.. (2024). Three-way open intent classification with nearest centroid-based representation. Information Sciences. 681. 121251–121251. 1 indexed citations
6.
Yang, Yuanyuan, et al.. (2024). Stain-adaptive self-supervised learning for histopathology image analysis. Pattern Recognition. 161. 111242–111242. 1 indexed citations
7.
Cao, Xiangang, et al.. (2024). Research on Large Language Model for Coal Mine Equipment Maintenance Based on Multi-Source Text. Applied Sciences. 14(7). 2946–2946. 7 indexed citations
8.
Yang, Xin, et al.. (2024). Personalized Federated Continual Learning via Multi-Granularity Prompt. arXiv (Cornell University). 4023–4034. 4 indexed citations
9.
Yang, Xin, et al.. (2024). Open Continual Feature Selection via Granular-Ball Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8967–8980. 4 indexed citations
10.
Yang, Xin, et al.. (2024). Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7865–7877. 1 indexed citations
11.
Yang, Xin, et al.. (2024). Federated Continual Learning via Knowledge Fusion: A Survey. IEEE Transactions on Knowledge and Data Engineering. 36(8). 3832–3850. 36 indexed citations
12.
Yang, Xin, Xin Gao, Yihui Feng, et al.. (2024). Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning. 5280–5288. 7 indexed citations
13.
Yang, Xin, et al.. (2023). A Secure Energy Internet Scheme for IoV Based on Post-Quantum Blockchain. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 6323–6336. 1 indexed citations
14.
Yang, Xin, Yang Chen, Hamido Fujita, Dun Liu, & Tianrui Li. (2021). Mixed data-driven sequential three-way decision via subjective–objective dynamic fusion. Knowledge-Based Systems. 237. 107728–107728. 43 indexed citations
15.
Yang, Xin, et al.. (2021). Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning. IEEE Transactions on Fuzzy Systems. 30(9). 3486–3500. 27 indexed citations
16.
Li, Yuezun, Xin Yang, Pu Sun, Honggang Qi, & Siwei Lyu. (2020). Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. 3204–3213. 899 indexed citations breakdown →
17.
Yang, Xin, Tianrui Li, Dun Liu, & Hamido Fujita. (2020). A multilevel neighborhood sequential decision approach of three-way granular computing. Information Sciences. 538. 119–141. 51 indexed citations
18.
Yang, Xin, Yingying Zhang, Hamido Fujita, Dun Liu, & Tianrui Li. (2020). Local temporal-spatial multi-granularity learning for sequential three-way granular computing. Information Sciences. 541. 75–97. 27 indexed citations
19.
Yang, Xin, Tianrui Li, Dun Liu, & Hamido Fujita. (2019). A temporal-spatial composite sequential approach of three-way granular computing. Information Sciences. 486. 171–189. 69 indexed citations
20.
Yang, Xin, Tianrui Li, Hamido Fujita, & Dun Liu. (2018). A sequential three-way approach to multi-class decision. International Journal of Approximate Reasoning. 104. 108–125. 81 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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