Zixing Song

1.5k total citations · 2 hit papers
15 papers, 879 citations indexed

About

Zixing Song is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Zixing Song has authored 15 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Zixing Song's work include Advanced Graph Neural Networks (11 papers), Text and Document Classification Technologies (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Zixing Song is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Text and Document Classification Technologies (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Zixing Song collaborates with scholars based in Hong Kong, China and Australia. Zixing Song's co-authors include Irwin King, Zenglin Xu, Xiangli Yang, Yifei Zhang, Piotr Koniusz, Hao Zhu, Ziqiao Meng, Yankai Chen, Chen Ma and Meng‐Lin Yang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and ANU Open Research (Australian National University).

In The Last Decade

Zixing Song

14 papers receiving 862 citations

Hit Papers

align trajectories

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.

A Survey on Deep Semi-Supervised Learning

2022 462 citations Xiangli Yang, Zixing Song et al. IEEE Transactions on Knowledge and Data Engineering profile →
Graph-Based Semi-Supervised Learning: A Comprehensive Review

2022 193 citations Zixing Song, Xiangli Yang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Countries citing papers authored by Zixing Song

Since Specialization

Citations

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

Fields of papers citing papers by Zixing Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zixing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zixing Song. A scholar is included among the top collaborators of Zixing Song 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 Zixing Song. Zixing Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

#	Work	Indexed citations
1	Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Chengjin Xu, Zixing Song, (unknown), (unknown), Ho-fung Leung, Irwin King	0
2	Geometric View of Soft Decorrelation in Self-Supervised Learning 2024 ·ANU Open Research (Australian National University) ·Yifei Zhang, (unknown), Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King	6
3	Graph Component Contrastive Learning for Concept Relatedness Estimation 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King	5
4	Spectral Feature Augmentation for Graph Contrastive Learning and Beyond 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King	48
5	WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering 2023 ·Bristol Research (University of Bristol) ·Yankai Chen, Yifei Zhang, Meng‐Lin Yang, Zixing Song, Chen Ma, Irwin King	10
6	Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks 2023 ·Bristol Research (University of Bristol) ·Zixing Song, (unknown), Irwin King	7
7	Contrastive Cross-scale Graph Knowledge Synergy 2023 ·Bristol Research (University of Bristol) ·Yifei Zhang, Yankai Chen, Zixing Song, Irwin King	10
8	Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Zenglin Xu, Zixing Song, Irwin King, Qi Yuan, Jieping Ye	9
9	Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zixing Song, Irwin King	17
10	Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Zixing Song, Yifei Zhang, Irwin King	23
11	A Survey on Deep Semi-Supervised Learning breakdown → 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu	462
12	Graph-Based Semi-Supervised Learning: A Comprehensive Review breakdown → 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King	193
13	COSTA 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King	58
14	Graph-based Semi-supervised Learning: A Comprehensive Review 2021 ·arXiv (Cornell University) ·Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King	11
15	Semi-supervised Multi-label Learning for Graph-structured Data 2021 ·Bristol Research (University of Bristol) ·Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King	20

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.

Explore authors with similar magnitude of impact