Yanmin Shang

553 total citations
26 papers, 221 citations indexed

About

Yanmin Shang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Yanmin Shang has authored 26 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Yanmin Shang's work include Advanced Graph Neural Networks (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Complex Network Analysis Techniques (7 papers). Yanmin Shang is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Complex Network Analysis Techniques (7 papers). Yanmin Shang collaborates with scholars based in China, Australia and United States. Yanmin Shang's co-authors include Yanan Cao, Yanbing Liu, Chuan Zhou, Yuchen Zhou, Jianlong Tan, Jia Wu, Yangxi Li, Jingjun Zhang, Ruizhen Gao and Qian Li and has published in prestigious journals such as ACM Transactions on Information Systems, World Wide Web and Journal of Computers.

In The Last Decade

Yanmin Shang

23 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanmin Shang China 7 181 75 58 47 19 26 221
Jiarong Xu China 10 174 1.0× 38 0.5× 41 0.7× 39 0.8× 36 1.9× 26 223
Lukas Gianinazzi Switzerland 6 139 0.8× 28 0.4× 19 0.3× 30 0.6× 51 2.7× 14 225
Sheng Zhou China 9 141 0.8× 63 0.8× 18 0.3× 18 0.4× 46 2.4× 24 195
Qitian Wu China 8 118 0.7× 56 0.7× 38 0.7× 14 0.3× 25 1.3× 19 169
Biao Lu China 6 159 0.9× 175 2.3× 16 0.3× 54 1.1× 40 2.1× 14 259
Nishchol Mishra India 10 98 0.5× 101 1.3× 20 0.3× 63 1.3× 146 7.7× 38 317
Myunghwan Kim South Korea 7 91 0.5× 69 0.9× 33 0.6× 127 2.7× 21 1.1× 20 230
Yongduo Sui China 7 187 1.0× 44 0.6× 15 0.3× 12 0.3× 39 2.1× 17 228
Yuening Li United States 10 256 1.4× 34 0.5× 63 1.1× 71 1.5× 117 6.2× 18 341
Yaochen Zhu China 8 131 0.7× 85 1.1× 16 0.3× 10 0.2× 70 3.7× 37 237

Countries citing papers authored by Yanmin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yanmin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanmin Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanmin Shang. A scholar is included among the top collaborators of Yanmin Shang 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 Yanmin Shang. Yanmin Shang 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.
2.
Cao, Yanan, Xixun Lin, Yupeng Wu, et al.. (2024). A data-centric framework of improving graph neural networks for knowledge graph embedding. World Wide Web. 28(1). 2 indexed citations
3.
Cao, Yanan, Ren Li, Xixun Lin, et al.. (2024). VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web. 27(3). 2 indexed citations
4.
Cao, Yanan, et al.. (2023). Multi-Aspect Heterogeneous Graph Augmentation. 39–48. 3 indexed citations
5.
Cao, Yanan, Yanmin Shang, Chuan Zhou, et al.. (2022). Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Transactions on Information Systems. 41(4). 1–26. 6 indexed citations
6.
Zhou, Yuchen, Yanmin Shang, Yanan Cao, et al.. (2022). API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web. 25(1). 239–258. 3 indexed citations
7.
Zhou, Yuchen, et al.. (2022). Task-level Relations Modelling for Graph Meta-learning. 813–822. 2 indexed citations
8.
Fang, Zheng, et al.. (2021). TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 10 indexed citations
9.
Yuan, Fangfang, Yanmin Shang, Yanbing Liu, Yanan Cao, & Jianlong Tan. (2020). Data Augmentation for Insider Threat Detection with GAN. 632–638. 20 indexed citations
10.
Cao, Yanan, Qian Li, Yanmin Shang, et al.. (2020). RLINK: Deep reinforcement learning for user identity linkage. World Wide Web. 24(1). 85–103. 19 indexed citations
11.
Shang, Yanmin, Yanan Cao, Dongjie Zhang, et al.. (2019). PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. 682–687. 12 indexed citations
12.
Zhang, Peng, et al.. (2013). The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. Procedia Computer Science. 18. 1720–1729. 3 indexed citations
13.
Gao, Ruizhen, et al.. (2012). An Improve Genetic Algorithm Based on Fixed Point Algorithms. Journal of Computers. 7(5). 3 indexed citations
14.
15.
Zhang, Jingjun, et al.. (2009). An Improved Genetic Algorithm Based on Fixed Point Theory for Function Optimization. 85. 481–484. 2 indexed citations
16.
Zhang, Jingjun, et al.. (2009). An Improved Multi-Objective Genetic Algorithm Based On Pareto Front and Fixed Point Theory. 29. 1–5. 1 indexed citations
17.
Liu, Guangyuan, Jingjun Zhang, Ruizhen Gao, & Yanmin Shang. (2009). An Improved Parallel Adaptive Genetic Algorithm Based on Pareto Front for Multi-objective Problems. 29. 212–215. 6 indexed citations
18.
Zhang, Jingjun, et al.. (2009). An improved genetic algorithm based on J<inf>1</inf> triangulation and fixed point theory. 138–142. 4 indexed citations
19.
Zhang, Jingjun, et al.. (2009). An Improved Multi-Objective Adaptive Niche Genetic Algorithm Based On Pareto Front. 300–304. 4 indexed citations
20.
Zhang, Jingjun, et al.. (2009). An Improved Genetic Algorithm Based on J 1 Subdivision and Fixed Point. 1 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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