Jiaxing Shang

1.5k total citations
68 papers, 818 citations indexed

About

Jiaxing Shang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Jiaxing Shang has authored 68 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 18 papers in Statistical and Nonlinear Physics and 15 papers in Information Systems. Recurrent topics in Jiaxing Shang's work include Complex Network Analysis Techniques (18 papers), Advanced Graph Neural Networks (15 papers) and Opinion Dynamics and Social Influence (9 papers). Jiaxing Shang is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Advanced Graph Neural Networks (15 papers) and Opinion Dynamics and Social Influence (9 papers). Jiaxing Shang collaborates with scholars based in China, United Kingdom and South Korea. Jiaxing Shang's co-authors include Lianchen Liu, Shangbo Zhou, Xin Li, Hongchun Wu, Feng Xie, Baohua Qiang, Linjiang Zheng, Yong Feng, Dajiang Liu and Cheng Wu and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Jiaxing Shang

54 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaxing Shang China 16 386 283 175 152 83 68 818
Ke Deng Australia 18 173 0.4× 230 0.8× 320 1.8× 153 1.0× 132 1.6× 46 1.1k
Alireza Rezvanian Iran 19 299 0.8× 360 1.3× 314 1.8× 147 1.0× 152 1.8× 69 904
Wen-Chih Peng Taiwan 21 191 0.5× 251 0.9× 646 3.7× 206 1.4× 127 1.5× 70 1.3k
Taotao Cai Australia 10 196 0.5× 288 1.0× 112 0.6× 122 0.8× 89 1.1× 33 585
Junjie Wu China 11 195 0.5× 333 1.2× 70 0.4× 101 0.7× 209 2.5× 17 722
Saman Forouzandeh Australia 15 171 0.4× 483 1.7× 95 0.5× 198 1.3× 188 2.3× 24 917
John Panneerselvam United Kingdom 19 93 0.2× 267 0.9× 424 2.4× 319 2.1× 68 0.8× 74 892
Jagan Sankaranarayanan United States 18 342 0.9× 504 1.8× 542 3.1× 529 3.5× 316 3.8× 50 1.9k
Lei Wu China 14 132 0.3× 255 0.9× 309 1.8× 274 1.8× 75 0.9× 88 786
Jai E. Jung South Korea 14 91 0.2× 167 0.6× 125 0.7× 142 0.9× 127 1.5× 23 562

Countries citing papers authored by Jiaxing Shang

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxing Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxing Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxing Shang. A scholar is included among the top collaborators of Jiaxing 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 Jiaxing Shang. Jiaxing 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.
Shang, Jiaxing, Xiaoquan Li, Linjiang Zheng, et al.. (2025). A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. Engineering Applications of Artificial Intelligence. 154. 110911–110911.
2.
Xiong, Haoyu, et al.. (2025). SDVD: Self-supervised dual-view modeling of user and cascade dynamics for information diffusion prediction. Knowledge-Based Systems. 326. 114005–114005.
3.
Zheng, Linjiang, et al.. (2025). Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning. IEEE Transactions on Neural Networks and Learning Systems. PP. 1–14.
4.
Li, Zheng, Ruiyuan Li, Yi Wu, et al.. (2025). Adaptive Encoding Strategies for Lossless Floating-Point Compression. IEEE Internet of Things Journal. 12(14). 26071–26085.
5.
Shang, Jiaxing, et al.. (2025). Fine-Grained Time and Hidden Feature Learning for Interpretable Hard Landing Prediction Based on QAR Data. IEEE Transactions on Intelligent Transportation Systems. 26(10). 14807–14822.
6.
Shang, Jiaxing, et al.. (2025). DynaX: Sparse Attention Acceleration with Dynamic X:M Fine-Grained Structured Pruning. 260–274. 1 indexed citations
7.
Zheng, Linjiang, et al.. (2025). ERD-Net: Modeling entity and relation dynamics for Temporal Knowledge Graph reasoning. Knowledge-Based Systems. 317. 113404–113404.
8.
Yin, Hong, et al.. (2024). High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5273–5287. 4 indexed citations
9.
Hao, Fei, et al.. (2023). BT-CKBQA: An efficient approach for Chinese knowledge base question answering. Data & Knowledge Engineering. 147. 102204–102204. 1 indexed citations
10.
Huang, Wenqing, et al.. (2023). Dual-LightGCN: Dual light graph convolutional network for discriminative recommendation. Computer Communications. 204. 89–100. 13 indexed citations
11.
Wang, Yijie, et al.. (2023). Graphformer: Adaptive graph correlation transformer for multivariate long sequence time series forecasting. Knowledge-Based Systems. 285. 111321–111321. 34 indexed citations
12.
Shang, Jiaxing, et al.. (2023). A Runway Overrun Risk Assessment Model for Civil Aircraft Based on Quick Access Recorder Data. Applied Sciences. 13(17). 9828–9828. 9 indexed citations
13.
Jia, Xueqi, et al.. (2022). HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content. Knowledge-Based Systems. 254. 109659–109659. 15 indexed citations
14.
Shang, Jiaxing, et al.. (2020). DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding. IEEE Access. 8. 10390–10402. 15 indexed citations
15.
Xiong, Zhongyang, et al.. (2019). A novel clustering algorithm based on the natural reverse nearest neighbor structure. Information Systems. 84. 1–16. 21 indexed citations
16.
Liu, Dajiang, Shouyi Yin, Guojie Luo, et al.. (2018). Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(12). 2271–2283. 31 indexed citations
17.
Shang, Jiaxing, Shangbo Zhou, Xin Li, Lianchen Liu, & Hongchun Wu. (2016). CoFIM: A community-based framework for influence maximization on large-scale networks. Knowledge-Based Systems. 117. 88–100. 146 indexed citations
18.
Xie, Feng, Zhen Chen, Jiaxing Shang, Xiaoping Feng, & Jun Li. (2015). A link prediction approach for item recommendation with complex number. Knowledge-Based Systems. 81. 148–158. 54 indexed citations
19.
Shang, Jiaxing, Lianchen Liu, Xin Li, Feng Xie, & Cheng Wu. (2015). Targeted revision: A learning-based approach for incremental community detection in dynamic networks. Physica A Statistical Mechanics and its Applications. 443. 70–85. 37 indexed citations
20.
Xie, Feng, et al.. (2014). A Link Prediction Approach for Item Recommendation with Complex Number. 205–212. 4 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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