Shichao Pei

612 total citations
24 papers, 329 citations indexed

About

Shichao Pei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shichao Pei has authored 24 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Shichao Pei's work include Advanced Graph Neural Networks (14 papers), Topic Modeling (10 papers) and Recommender Systems and Techniques (4 papers). Shichao Pei is often cited by papers focused on Advanced Graph Neural Networks (14 papers), Topic Modeling (10 papers) and Recommender Systems and Techniques (4 papers). Shichao Pei collaborates with scholars based in United States, Saudi Arabia and China. Shichao Pei's co-authors include Xiangliang Zhang, Yu Lu, Robert Hoehndorf, Chuxu Zhang, Guoxian Yu, Lu Yu, Guolei Sun, Chao Shen, Xiaohong Guan and Yongchun Zhu and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and Materials Science and Engineering R Reports.

In The Last Decade

Shichao Pei

23 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shichao Pei United States 9 280 106 86 46 33 24 329
Xixun Lin China 10 291 1.0× 60 0.6× 163 1.9× 65 1.4× 16 0.5× 21 362
Jatin Chauhan India 3 344 1.2× 70 0.7× 38 0.4× 52 1.1× 10 0.3× 10 376
Chi Thang Duong Australia 9 173 0.6× 34 0.3× 76 0.9× 45 1.0× 31 0.9× 15 252
Julien Leblay France 7 286 1.0× 87 0.8× 58 0.7× 64 1.4× 44 1.3× 13 333
Hyunsouk Cho South Korea 7 201 0.7× 73 0.7× 189 2.2× 61 1.3× 24 0.7× 13 284
Sebastijan Dumančić Belgium 6 393 1.4× 97 0.9× 53 0.6× 97 2.1× 12 0.4× 12 428
Baoxing Huai China 12 265 0.9× 48 0.5× 61 0.7× 85 1.8× 30 0.9× 31 348
Chao Shao China 7 234 0.8× 54 0.5× 155 1.8× 106 2.3× 11 0.3× 14 350
Saurabh Kataria United States 10 305 1.1× 39 0.4× 160 1.9× 89 1.9× 42 1.3× 27 422

Countries citing papers authored by Shichao Pei

Since Specialization
Citations

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

Fields of papers citing papers by Shichao Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shichao Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Shichao Pei. A scholar is included among the top collaborators of Shichao Pei 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 Shichao Pei. Shichao Pei 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.
Yang, Yuqi, Yinchang Ma, Shichao Pei, et al.. (2025). Machine learning for 2D material–based devices. Materials Science and Engineering R Reports. 166. 101085–101085. 1 indexed citations
2.
Pei, Shichao, et al.. (2025). Strategies to include prior knowledge in omics analysis with deep neural networks. Patterns. 6(3). 101203–101203.
3.
Pei, Shichao, et al.. (2025). Knowledge Distillation on Graphs: A Survey. ACM Computing Surveys. 57(8). 1–16. 9 indexed citations
4.
Kou, Ziyi, et al.. (2024). Learning from Novel Knowledge: Continual Few-shot Knowledge Graph Completion. 1326–1335. 2 indexed citations
5.
6.
Cai, Rui, et al.. (2024). Zero-Shot Relational Learning for Multimodal Knowledge Graphs. 499–508. 1 indexed citations
7.
Pei, Shichao, Qiannan Zhang, & Xiangliang Zhang. (2023). Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation. 7252–7264. 2 indexed citations
8.
Zhang, Qiannan, Shichao Pei, Qiang Yang, et al.. (2023). Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4893–4901. 8 indexed citations
10.
Pei, Shichao, et al.. (2023). LogicRec: Recommendation with Users' Logical Requirements. arXiv (Cornell University). 2129–2133. 1 indexed citations
11.
Pei, Shichao, et al.. (2023). Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1862–1871. 5 indexed citations
12.
Tang, Zhenwei, Shichao Pei, Zhao Zhang, et al.. (2022). Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2248–2254. 26 indexed citations
13.
Yu, Lu, Shichao Pei, Feng Zhu, et al.. (2022). A Biased Sampling Method for Imbalanced Personalized Ranking. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2393–2402. 1 indexed citations
14.
Yu, Lu, Shichao Pei, Lizhong Ding, et al.. (2022). SAIL: Self-Augmented Graph Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8927–8935. 17 indexed citations
15.
Pei, Shichao, Yu Lu, Guoxian Yu, & Xiangliang Zhang. (2022). Graph Alignment with Noisy Supervision. Proceedings of the ACM Web Conference 2022. 1104–1114. 10 indexed citations
16.
Pei, Shichao, Lu Yu, & Xiangliang Zhang. (2021). Set-aware Entity Synonym Discovery with Flexible Receptive Fields. IEEE Transactions on Knowledge and Data Engineering. 1–1. 2 indexed citations
17.
Pei, Shichao, Yu Lu, Robert Hoehndorf, & Xiangliang Zhang. (2019). Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 3130–3136. 82 indexed citations
18.
Yu, Lu, Chuxu Zhang, Shichao Pei, Guolei Sun, & Xiangliang Zhang. (2018). WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 39 indexed citations
19.
Shen, Chao, et al.. (2015). Input extraction via motion-sensor behavior analysis on smartphones. Computers & Security. 53. 143–155. 28 indexed citations
20.
Shen, Chao, et al.. (2015). On motion sensors as source for user input inference in smartphones. 1–6. 5 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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