Huawei Shen

995 total citations
44 papers, 526 citations indexed

About

Huawei Shen is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Huawei Shen has authored 44 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Huawei Shen's work include Advanced Graph Neural Networks (20 papers), Topic Modeling (15 papers) and Complex Network Analysis Techniques (10 papers). Huawei Shen is often cited by papers focused on Advanced Graph Neural Networks (20 papers), Topic Modeling (15 papers) and Complex Network Analysis Techniques (10 papers). Huawei Shen collaborates with scholars based in China, United States and Germany. Huawei Shen's co-authors include Xueqi Cheng, Jinhua Gao, Wentao Ouyang, Bingjie Sun, Fangtao Li, Shenghua Liu, Fuxin Li, Junjie Huang, Liang Hou and Yongqing Wang and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and Neurocomputing.

In The Last Decade

Huawei Shen

42 papers receiving 510 citations

Peers

Huawei Shen
Marina Danilevsky United States
Junzhou Zhao China
Amin Mantrach Spain
Денис Турдаков Russia
Chun-Ta Lu United States
Víctor Fresno Spain
Hung‐Hsuan Chen Taiwan
Sung-Hyon Myaeng South Korea
L. Venkata Subramaniam India
Engin Demir Türkiye
Marina Danilevsky United States
Huawei Shen
Citations per year, relative to Huawei Shen Huawei Shen (= 1×) peers Marina Danilevsky

Countries citing papers authored by Huawei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Shen. A scholar is included among the top collaborators of Huawei Shen 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 Huawei Shen. Huawei Shen 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.
Shen, Huawei, et al.. (2025). InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. ArXiv.org. 719–728.
3.
Shen, Huawei, Yafei Fu, Zekun Liu, et al.. (2024). A handheld electrochemical bacterial sensor based on multifunctional composite hydrogels and DNA biomimetic nanowalls for accurate detection of Porphyromonas gingivalis. Chemical Engineering Journal. 498. 155344–155344. 3 indexed citations
4.
Shen, Huawei, et al.. (2024). Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. arXiv (Cornell University). 2548–2552. 2 indexed citations
5.
Fu, Yafei, Dechao Niu, Gangyi Yang, et al.. (2023). Synergistic signal amplification of a 3D Dual-Core DNA nanomachine and PCNs@AuPdCe hybrid nanozymes for ultrasensitive electrochemical detection of Cell-free DNA. Chemical Engineering Journal. 475. 146323–146323. 6 indexed citations
6.
Huang, Junjie, Ruobing Xie, Qi Cao, et al.. (2023). Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Information Processing & Management. 60(4). 103403–103403. 30 indexed citations
7.
Wang, Zhaohui, Qi Cao, Huawei Shen, et al.. (2022). Location-aware convolutional neural networks for graph classification. Neural Networks. 155. 74–83. 7 indexed citations
8.
Li, Zijian, et al.. (2022). Uniskgrep: A Unified Representation Learning Framework of Social Network and Knowledge Graph. SSRN Electronic Journal. 1 indexed citations
9.
Li, Zijian, et al.. (2022). UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks. 158. 142–153. 12 indexed citations
10.
Wang, Yongqing, et al.. (2021). Locate Who You Are. 3413–3417. 7 indexed citations
11.
Pang, Liang, et al.. (2021). Transductive Learning for Unsupervised Text Style Transfer. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 14 indexed citations
12.
Gao, Jinhua, et al.. (2021). The prediction of fluctuation in the order-driven financial market. PLoS ONE. 16(11). e0259598–e0259598. 1 indexed citations
13.
Yan, Rong, et al.. (2020). GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. 315–322. 1 indexed citations
14.
Wang, Pengfei, et al.. (2019). Unified Collaborative Filtering over Graph Embeddings. 155–164. 18 indexed citations
15.
Shen, Huawei, et al.. (2016). Market Confidence Predicts Stock Price: Beyond Supply and Demand. PLoS ONE. 11(7). e0158742–e0158742. 14 indexed citations
16.
Shen, Huawei, et al.. (2016). Detecting anomalous traders using multi-slice network analysis. Physica A Statistical Mechanics and its Applications. 473. 1–9. 13 indexed citations
17.
Wang, Yuanzhuo, et al.. (2015). Evolutionary Game Model and Analysis Methods for Network Group Behavior. 38(2). 282–300. 13 indexed citations
18.
Liu, Shenghua, Fuxin Li, Fangtao Li, Xueqi Cheng, & Huawei Shen. (2013). Adaptive co-training SVM for sentiment classification on tweets. 2079–2088. 60 indexed citations
19.
Guo, Jiafeng, Xueqi Cheng, Huawei Shen, & Shuo Bai. (2009). Exploring Collaboratively Annotated Data for Automatic Annotation. 1 indexed citations
20.
Shen, Huawei, et al.. (2007). Research on Enterprise Track of TREC 2007. Text REtrieval Conference. 6 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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2026