Ruichu Cai

2.6k total citations
135 papers, 1.5k citations indexed

About

Ruichu Cai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruichu Cai has authored 135 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 24 papers in Information Systems and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruichu Cai's work include Bayesian Modeling and Causal Inference (27 papers), Advanced Graph Neural Networks (20 papers) and Topic Modeling (17 papers). Ruichu Cai is often cited by papers focused on Bayesian Modeling and Causal Inference (27 papers), Advanced Graph Neural Networks (20 papers) and Topic Modeling (17 papers). Ruichu Cai collaborates with scholars based in China, United States and Singapore. Ruichu Cai's co-authors include Zhifeng Hao, Zhenjie Zhang, Zhifeng Hao, Mei Liu, Wen Wen, Zhifeng Hao, Zhenjie Zhang, Xiangzhou Zhang, Eric W.T. Ngai and Yong Hu and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Ruichu Cai

120 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruichu Cai China 21 791 242 234 226 218 135 1.5k
Byung-Ro Moon South Korea 17 869 1.1× 250 1.0× 140 0.6× 163 0.7× 190 0.9× 75 1.6k
Michael Cochez Germany 16 881 1.1× 157 0.6× 277 1.2× 228 1.0× 117 0.5× 46 1.6k
José A. Gámez Spain 25 1.2k 1.5× 291 1.2× 141 0.6× 285 1.3× 140 0.6× 130 2.1k
Rinkle Rani India 21 455 0.6× 161 0.7× 154 0.7× 327 1.4× 303 1.4× 101 1.3k
Jun Sakuma Japan 20 772 1.0× 108 0.4× 139 0.6× 213 0.9× 170 0.8× 120 1.3k
Nabil Belacel Canada 18 441 0.6× 114 0.5× 192 0.8× 124 0.5× 140 0.6× 49 969
Qinbao Song China 20 1.1k 1.4× 403 1.7× 191 0.8× 320 1.4× 196 0.9× 53 1.7k
Simon Shiu Hong Kong 19 785 1.0× 671 2.8× 242 1.0× 410 1.8× 154 0.7× 94 1.8k
Jie Cheng United States 16 423 0.5× 184 0.8× 148 0.6× 125 0.6× 179 0.8× 51 1.0k
Zhifeng Hao China 24 913 1.2× 388 1.6× 125 0.5× 133 0.6× 218 1.0× 160 1.9k

Countries citing papers authored by Ruichu Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ruichu Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruichu Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Ruichu Cai. A scholar is included among the top collaborators of Ruichu Cai 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 Ruichu Cai. Ruichu Cai 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.
Cai, Ruichu, et al.. (2025). Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. 3247–3266. 1 indexed citations
2.
Hao, Zhifeng, Jianming Zhan, Yuan Fang, Min Wu, & Ruichu Cai. (2025). GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy. PubMed. 22(1). 333–342. 1 indexed citations
3.
Yan, Yuguang, et al.. (2024). An Optimal Transport View for Subspace Clustering and Spectral Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16281–16289. 2 indexed citations
4.
5.
Cai, Ruichu, et al.. (2024). Testing Conditional Independence Between Latent Variables by Independence Residuals. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4586–4598. 1 indexed citations
6.
Li, Zijian, Ruichu Cai, Jiawei Chen, et al.. (2024). Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. Neural Networks. 180. 106659–106659. 1 indexed citations
7.
Chen, Weilin, et al.. (2024). Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16290–16298. 1 indexed citations
8.
Cai, Ruichu, et al.. (2024). Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20524–20531.
9.
Cai, Ruichu, et al.. (2023). Generalization Bound for Estimating Causal Effects from Observational Network Data. 163–172. 1 indexed citations
10.
Cai, Ruichu, et al.. (2023). Graph Domain Adaptation: A Generative View. ACM Transactions on Knowledge Discovery from Data. 18(3). 1–24. 12 indexed citations
11.
Cai, Ruichu, et al.. (2023). Motif Graph Neural Network. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14833–14847. 14 indexed citations
12.
Cai, Ruichu, et al.. (2023). REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. ACM Transactions on Knowledge Discovery from Data. 18(2). 1–24. 4 indexed citations
13.
Zhu, Jian, Qingwu Zhang, Lunke Fei, et al.. (2022). FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution. IEEE Transactions on Multimedia. 25. 6821–6835. 28 indexed citations
14.
Li, Zijian, Ruichu Cai, Marianne Winslett, et al.. (2021). Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Transactions on Intelligent Systems and Technology. 12(2). 1–21. 10 indexed citations
15.
Zeng, Yan, et al.. (2020). A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks. 124. 130–145. 2 indexed citations
16.
Cai, Ruichu, et al.. (2020). FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks. 124. 193–201. 4 indexed citations
17.
Ling, Bingo Wing‐Kuen, et al.. (2019). WMsorting: Wavelet Packets’ Decomposition and Mutual Information-Based Spike Sorting Method. IEEE Transactions on NanoBioscience. 18(3). 283–295. 18 indexed citations
18.
Hao, Zhifeng, et al.. (2019). A subgraph-representation-based method for answering complex questions over knowledge bases. Neural Networks. 119. 57–65. 14 indexed citations
19.
Chen, Wei, et al.. (2019). Mining hidden non-redundant causal relationships in online social networks. Neural Computing and Applications. 32(11). 6913–6923. 7 indexed citations
20.
Cai, Ruichu, Zhenjie Zhang, Zhifeng Hao, & Marianne Winslett. (2016). Understanding Social Causalities Behind Human Action Sequences. IEEE Transactions on Neural Networks and Learning Systems. 28(8). 1801–1813. 19 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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