Yujie Mo

511 total citations
18 papers, 345 citations indexed

About

Yujie Mo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yujie Mo has authored 18 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yujie Mo's work include Advanced Graph Neural Networks (10 papers), Recommender Systems and Techniques (4 papers) and Graph Theory and Algorithms (2 papers). Yujie Mo is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Recommender Systems and Techniques (4 papers) and Graph Theory and Algorithms (2 papers). Yujie Mo collaborates with scholars based in China, New Zealand and Germany. Yujie Mo's co-authors include Xiaofeng Zhu, Liang Peng, Xiaoshuang Shi, Jie Xu, Jie Xu, Chao Li, Yazhou Ren, Jiangzhang Gan, Rongyao Hu and Heng Tao Shen and has published in prestigious journals such as Journal of Chemical Theory and Computation, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yujie Mo

16 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujie Mo China	7	244	132	61	42	20	18	345
Doudou Lin China	5	192 0.8×	88 0.7×	41 0.7×	40 1.0×	22 1.1×	7	295
Shunxin Xiao China	7	154 0.6×	85 0.6×	23 0.4×	41 1.0×	31 1.6×	13	222
Weijie Fu China	7	289 1.2×	230 1.7×	61 1.0×	27 0.6×	17 0.8×	17	455
Shurui Gui China	3	227 0.9×	75 0.6×	36 0.6×	15 0.4×	20 1.0×	3	357
Hidekazu Oiwa Japan	6	215 0.9×	57 0.4×	36 0.6×	24 0.6×	15 0.8×	13	273
Lingyun Song China	10	159 0.7×	120 0.9×	28 0.5×	11 0.3×	11 0.6×	25	257
Chunjie Wang China	4	185 0.8×	69 0.5×	43 0.7×	40 1.0×	51 2.5×	11	296
Tianle Cai China	4	157 0.6×	73 0.6×	31 0.5×	30 0.7×	53 2.6×	7	278
Yizhen Zheng Australia	11	217 0.9×	44 0.3×	90 1.5×	36 0.9×	19 0.9×	20	294
Yijie Lin China	5	320 1.3×	341 2.6×	19 0.3×	12 0.3×	14 0.7×	7	481

Countries citing papers authored by Yujie Mo

Since Specialization

Citations

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

Fields of papers citing papers by Yujie Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujie Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yujie Mo. A scholar is included among the top collaborators of Yujie Mo 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 Yujie Mo. Yujie Mo 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:

18 of 18 papers shown

Lei, Yajie, Yujie Mo, Luping Ji, & Xiaofeng Zhu. (2025). Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14508–14521.

He, Haoqiang, et al.. (2025). Multiplex Graph Representation Learning with Homophily and Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11835–11842.

Mo, Yujie, Heng Tao Shen, & Xiaofeng Zhu. (2024). Unsupervised multi-view graph representation learning with dual weight-net. Information Fusion. 114. 102669–102669. 7 indexed citations

Mo, Yujie, et al.. (2024). Self-Training Based Few-Shot Node Classification by Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15988–15995. 3 indexed citations

Zhang, Yushan, et al.. (2024). Irradiated Gao Miao Zi Bentonite for Uranium Retention: Performance and Mechanism. Separations. 12(1). 1–1. 1 indexed citations

Mo, Yujie, Heng Tao Shen, & Xiaofeng Zhu. (2024). Efficient self-supervised heterogeneous graph representation learning with reconstruction. Information Fusion. 117. 102846–102846. 4 indexed citations

Fu, Weiqiang, Yujie Mo, Xiao Yi, et al.. (2024). Enhancing Molecular Energy Predictions with Physically Constrained Modifications to the Neural Network Potential. Journal of Chemical Theory and Computation. 20(11). 4533–4544. 5 indexed citations

Mo, Yujie, Yajie Lei, Liang Peng, et al.. (2023). Multiplex Graph Representation Learning Via Dual Correlation Reduction. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12814–12827. 49 indexed citations

Mo, Yujie, et al.. (2023). Multiplex Graph Representation Learning via Common and Private Information Mining. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9217–9225. 2 indexed citations

10.

Peng, Liang, Yujie Mo, Jie Xu, et al.. (2023). GRLC: Graph Representation Learning With Constraints. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8609–8622. 43 indexed citations

11.

Gan, Jiangzhang, Rongyao Hu, Yujie Mo, et al.. (2022). Multigraph Fusion for Dynamic Graph Convolutional Network. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 196–207. 59 indexed citations

12.

Xu, Jie, Chao Li, Yazhou Ren, et al.. (2022). Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8761–8769. 73 indexed citations

13.

Mo, Yujie, et al.. (2022). Distributed dispatching method of active distribution network considering multiple regulation resources. Journal of Physics Conference Series. 2237(1). 12004–12004. 4 indexed citations

14.

Yuan, Weifeng, et al.. (2022). Dementia analysis from functional connectivity network with graph neural networks. Information Processing & Management. 59(3). 102901–102901. 14 indexed citations

15.

Mo, Yujie, Liang Peng, Jie Xu, Xiaoshuang Shi, & Xiaofeng Zhu. (2022). Simple Unsupervised Graph Representation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7797–7805. 70 indexed citations

16.

Mo, Yujie, et al.. (2022). Simple Self-supervised Multiplex Graph Representation Learning. Proceedings of the 30th ACM International Conference on Multimedia. 3301–3309. 6 indexed citations

17.

Gan, Jiangzhang, et al.. (2022). Multi-view Unsupervised Graph Representation Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2987–2993. 4 indexed citations

18.

Mo, Yujie. (2021). Hierarchical dispatching model of power grid under electrochemical energy storage constraints. Journal of Physics Conference Series. 2087(1). 12011–12011. 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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