Ying Sha

547 total citations
30 papers, 171 citations indexed

About

Ying Sha is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Ying Sha has authored 30 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Statistical and Nonlinear Physics and 10 papers in Information Systems. Recurrent topics in Ying Sha's work include Complex Network Analysis Techniques (11 papers), Topic Modeling (9 papers) and Misinformation and Its Impacts (7 papers). Ying Sha is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Topic Modeling (9 papers) and Misinformation and Its Impacts (7 papers). Ying Sha collaborates with scholars based in China, United Kingdom and Australia. Ying Sha's co-authors include Lei Fang, Huan Wang, Bo Jiang, Xiaofei Zhou, Qi Liang, Shirui Pan, Lihong V. Wang, Zeliang Song, Zhi Zeng and Changjian Wang and has published in prestigious journals such as Human Molecular Genetics, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Ying Sha

26 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Sha China 7 115 65 47 34 20 30 171
Guangyuan Piao Ireland 9 116 1.0× 39 0.6× 117 2.5× 27 0.8× 10 0.5× 19 183
Nazanin Alipourfard United States 4 87 0.8× 111 1.7× 26 0.6× 17 0.5× 23 1.1× 7 162
Peng Bao China 7 75 0.7× 152 2.3× 43 0.9× 50 1.5× 26 1.3× 10 220
Canhui Wang China 5 114 1.0× 54 0.8× 88 1.9× 9 0.3× 20 1.0× 8 174
Yanbo Liang China 6 154 1.3× 88 1.4× 49 1.0× 12 0.4× 21 1.1× 8 179
Pritam Gundecha United States 9 70 0.6× 36 0.6× 72 1.5× 50 1.5× 50 2.5× 13 174
Shuangyong Song China 8 189 1.6× 63 1.0× 111 2.4× 17 0.5× 20 1.0× 51 294
René Schult Germany 4 113 1.0× 79 1.2× 48 1.0× 13 0.4× 28 1.4× 9 215

Countries citing papers authored by Ying Sha

Since Specialization
Citations

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

Fields of papers citing papers by Ying Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Sha. A scholar is included among the top collaborators of Ying Sha 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 Ying Sha. Ying Sha 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.
Li, Junkai, et al.. (2025). RCLMuFN: Relational context learning and multiplex fusion network for multimodal sarcasm detection. Knowledge-Based Systems. 319. 113614–113614.
2.
Wu, Mingmin, et al.. (2025). McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25398–25406.
3.
4.
Li, Junsong, et al.. (2024). Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18270–18278. 1 indexed citations
5.
Wu, Mingmin, et al.. (2024). Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19243–19251. 3 indexed citations
6.
Li, Junsong, et al.. (2024). A Unified Generative Framework for Bilingual Euphemism Detection and Identification. 6753–6766. 1 indexed citations
7.
Huang, Zhongqiang, et al.. (2023). Enhancing Predictive Expert Method for Link Prediction in Heterogeneous Information Social Networks. Applied Sciences. 13(22). 12437–12437. 1 indexed citations
8.
Wang, Huan, et al.. (2023). A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks. IEEE Transactions on Knowledge and Data Engineering. 35(11). 10981–10991. 60 indexed citations
9.
Huang, Zhongqiang, et al.. (2023). Multimodal Stacked Cross Attention Network for Fine-Grained Fake News Detection. 2837–2842. 2 indexed citations
10.
Zeng, Zhi, Mingmin Wu, Guodong Li, et al.. (2023). Correcting the Bias: Mitigating Multimodal Inconsistency Contrastive Learning for Multimodal Fake News Detection. 2861–2866. 2 indexed citations
11.
Zeng, Zhi, Xiang Li, & Ying Sha. (2022). Heterogeneous Propagation Graph Representation Learning for Fake News Detection. 456–463. 3 indexed citations
12.
Wang, Changjian, et al.. (2022). Exploring Relational Semantics for Inductive Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4184–4192. 19 indexed citations
13.
Li, Xiang, Zhi Zeng, Mingmin Wu, et al.. (2022). An Offensive Language Identification Based on Deep Semantic Feature Fusion. 1477–1483. 2 indexed citations
14.
Zeng, Zhi, et al.. (2021). Fake News Detection by Using Common Latent Semantics Matching Method. 3361. 1059–1066. 2 indexed citations
15.
Wang, Huan, Chunming Qiao, Xuan Guo, et al.. (2021). Identifying and Evaluating Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks. ACM Transactions on the Web. 15(4). 1–22. 6 indexed citations
16.
17.
Sha, Ying, et al.. (2019). Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics. 386–395. 3 indexed citations
18.
Sha, Ying, et al.. (2017). Resolving Entity Morphs based on Character-Word Embedding. Procedia Computer Science. 108. 48–57. 2 indexed citations
19.
Sha, Ying, et al.. (2013). Finding High-Influence Leader Based on Local Metrics. 67. 468–475.
20.
Sha, Ying, et al.. (2013). The Research of Weighted Community Partition based on SimHash. Procedia Computer Science. 17. 797–802. 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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