Huawei Shen

6.9k total citations · 3 hit papers
129 papers, 3.9k citations indexed

About

Huawei Shen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Huawei Shen has authored 129 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 55 papers in Statistical and Nonlinear Physics and 35 papers in Information Systems. Recurrent topics in Huawei Shen's work include Complex Network Analysis Techniques (52 papers), Advanced Graph Neural Networks (37 papers) and Opinion Dynamics and Social Influence (34 papers). Huawei Shen is often cited by papers focused on Complex Network Analysis Techniques (52 papers), Advanced Graph Neural Networks (37 papers) and Opinion Dynamics and Social Influence (34 papers). Huawei Shen collaborates with scholars based in China, United States and Singapore. Huawei Shen's co-authors include Xueqi Cheng, Xiaolong Jin, Kai Cai, Mao-Bin Hu, Albert-Ĺaszló Barabási, Junming Huang, Tong Man, Qi Cao, Shenghua Liu and Xiao Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Huawei Shen

123 papers receiving 3.8k citations

Hit Papers

Detect overlapping and hierarchical community structure i... 2008 2026 2014 2020 2008 2021 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detect overlapping and hierarchical community structure in networks
    2008 488 citations Huawei Shen, Xueqi Cheng et al. profile →
  2. Beyond Low-frequency Information in Graph Convolutional Networks
    2021 294 citations Huawei Shen et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  3. Cross-Domain Recommendation: An Embedding and Mapping Approach
    2017 244 citations Huawei Shen, Xueqi Cheng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huawei Shen China 31 2.0k 2.0k 960 513 506 129 3.9k
Jennifer Neville United States 28 2.1k 1.0× 1.6k 0.8× 933 1.0× 772 1.5× 357 0.7× 120 3.6k
Tina Eliassi‐Rad United States 29 3.0k 1.5× 1.9k 1.0× 847 0.9× 709 1.4× 861 1.7× 106 4.6k
Nesreen K. Ahmed United States 25 2.1k 1.0× 1.8k 0.9× 467 0.5× 640 1.2× 754 1.5× 77 3.9k
Qi He United States 21 1.9k 0.9× 1.3k 0.7× 1.7k 1.8× 465 0.9× 306 0.6× 64 3.6k
Matthew Richardson United States 21 2.9k 1.4× 1.2k 0.6× 1.5k 1.5× 633 1.2× 696 1.4× 42 5.0k
Jiliang Tang United States 25 2.0k 1.0× 797 0.4× 1.6k 1.6× 486 0.9× 667 1.3× 49 3.5k
Zhong Su China 26 2.3k 1.1× 935 0.5× 1.5k 1.5× 463 0.9× 566 1.1× 162 4.0k
Feida Zhu Singapore 28 1.5k 0.7× 731 0.4× 1.1k 1.1× 405 0.8× 417 0.8× 103 2.5k
Amr Ahmed United States 28 2.2k 1.1× 545 0.3× 1.3k 1.3× 432 0.8× 848 1.7× 107 3.8k

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.
Cao, Qi, et al.. (2024). IDEA: Invariant defense for graph adversarial robustness. Information Sciences. 680. 121171–121171. 3 indexed citations
3.
Shi, Zhichao, Chengjin Xu, Zixuan Li, et al.. (2024). Unlocking the Power of Large Language Models for Entity Alignment. 7566–7583. 6 indexed citations
4.
Pang, Liang, Mo Yu, Fandong Meng, et al.. (2024). Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. 133–145. 3 indexed citations
5.
6.
Pang, Liang, et al.. (2024). Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. 208–217. 6 indexed citations
7.
Peng, Bao, et al.. (2024). SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. 3283–3296. 1 indexed citations
8.
9.
Shen, Huawei, et al.. (2024). FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. 207–217. 1 indexed citations
10.
Wu, Yunfan, et al.. (2024). Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. 701–711. 2 indexed citations
11.
Sun, Fei, et al.. (2024). Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. 489–492. 5 indexed citations
12.
Xu, Bingbing, Bo Lin, Liang Hou, et al.. (2024). PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16614–16622. 2 indexed citations
13.
Xu, Bingbing, Huawei Shen, Qi Cao, et al.. (2024). Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks. 172. 106125–106125. 4 indexed citations
14.
Yan, Rong, Peng Bao, Huawei Shen, & Xuanya Li. (2023). Learning node representation via Motif Coarsening. Knowledge-Based Systems. 278. 110821–110821. 2 indexed citations
15.
Gao, Jinhua, et al.. (2023). Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Information Processing & Management. 60(4). 103361–103361. 11 indexed citations
16.
17.
Cao, Qi, Huawei Shen, Yunfan Wu, et al.. (2023). Adversarial camouflage for node injection attack on graphs. Information Sciences. 649. 119611–119611. 16 indexed citations
18.
Cao, Qi, et al.. (2023). Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. arXiv (Cornell University). 1801–1805. 2 indexed citations
19.
Shen, Huawei & Albert-Ĺaszló Barabási. (2014). Collective credit allocation in science. Proceedings of the National Academy of Sciences. 111(34). 12325–12330. 134 indexed citations
20.
He, Chao, Xueqi Cheng, Jiafeng Guo, & Huawei Shen. (2011). Multi-select faceted navigation based on minimum description length principle. International Joint Conference on Artificial Intelligence. 1690–1696. 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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Breakdown of academic impact, for papers by Jennifer Neville Breakdown of academic impact, for papers by Tina Eliassi‐Rad Breakdown of academic impact, for papers by Nesreen K. Ahmed Breakdown of academic impact, for papers by Qi He Breakdown of academic impact, for papers by Matthew Richardson Breakdown of academic impact, for papers by Jiliang Tang Breakdown of academic impact, for papers by Zhong Su Breakdown of academic impact, for papers by Feida Zhu Breakdown of academic impact, for papers by Amr Ahmed
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