Bo Yang

3.2k total citations
123 papers, 1.7k citations indexed

About

Bo Yang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Bo Yang has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 40 papers in Statistical and Nonlinear Physics and 30 papers in Information Systems. Recurrent topics in Bo Yang's work include Complex Network Analysis Techniques (39 papers), Advanced Graph Neural Networks (35 papers) and Recommender Systems and Techniques (21 papers). Bo Yang is often cited by papers focused on Complex Network Analysis Techniques (39 papers), Advanced Graph Neural Networks (35 papers) and Recommender Systems and Techniques (21 papers). Bo Yang collaborates with scholars based in China, United States and Hong Kong. Bo Yang's co-authors include Jiming Liu, William K. Cheung, Dayou Liu, Di Jin, Tao Mei, Xian‐Sheng Hua, Hongbin Pei, Lei Yu, Xueyan Liu and Hechang Chen and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Bo Yang

110 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Yang China	20	751	578	467	312	245	123	1.7k
Dong Zhou China	16	648 0.9×	420 0.7×	464 1.0×	190 0.6×	271 1.1×	97	1.6k
Zhan Bu China	22	582 0.8×	1.0k 1.7×	278 0.6×	130 0.4×	326 1.3×	61	1.7k
Xiao Huang Hong Kong	23	1.4k 1.9×	423 0.7×	444 1.0×	240 0.8×	238 1.0×	94	2.0k
Jingrui He United States	25	1.5k 2.0×	438 0.8×	324 0.7×	862 2.8×	201 0.8×	158	2.5k
Chi Ho Yeung Hong Kong	18	440 0.6×	1.1k 1.8×	529 1.1×	160 0.5×	314 1.3×	64	2.3k
Hakan Ferhatosmanoğlu United States	21	822 1.1×	172 0.3×	425 0.9×	423 1.4×	465 1.9×	90	2.0k
Charu C. Aggarwal United States	13	600 0.8×	340 0.6×	195 0.4×	101 0.3×	174 0.7×	24	1.1k
Yanfang Ye United States	15	942 1.3×	274 0.5×	473 1.0×	211 0.7×	157 0.6×	66	1.3k
Liang Zhao United States	22	988 1.3×	334 0.6×	271 0.6×	263 0.8×	243 1.0×	192	2.0k
Rami Puzis Israel	21	384 0.5×	385 0.7×	355 0.8×	95 0.3×	456 1.9×	85	1.3k

Countries citing papers authored by Bo Yang

Since Specialization

Citations

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

Fields of papers citing papers by Bo Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Yang

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

20 of 20 papers shown

Yang, Bo, et al.. (2025). Self-supervised dual graph learning for recommendation. Knowledge-Based Systems. 310. 112967–112967. 3 indexed citations

Yang, Bo, et al.. (2025). Hypercomplex Knowledge Graph-Aware Recommendation. 2017–2026.

Liu, Xueyan, et al.. (2025). Stochastic Block Models for Complex Network Analysis: A Survey. ACM Transactions on Knowledge Discovery from Data. 19(3). 1–35. 1 indexed citations

Yang, Bo, et al.. (2025). The effect of local platoon control strategy on the stability of mixed traffic flow. Transportmetrica B Transport Dynamics. 13(1). 4 indexed citations

Chen, Hechang, et al.. (2024). Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9136–9149.

Liu, Xueyan, et al.. (2024). Attribute imputation autoencoders for attribute-missing graphs. Knowledge-Based Systems. 291. 111583–111583. 7 indexed citations

Long, Guodong, et al.. (2024). GPFedRec: Graph-Guided Personalization for Federated Recommendation. 4131–4142. 7 indexed citations

Long, Guodong, et al.. (2024). When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. 3632–3642. 10 indexed citations

Liu, Xueyan, et al.. (2023). Item Attribute-aware Graph Collaborative Filtering. Expert Systems with Applications. 238. 122242–122242. 5 indexed citations

10.

Liu, Xueyan, et al.. (2023). Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. 641–650. 4 indexed citations

11.

He, Xin, et al.. (2022). Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks. Entropy. 24(12). 1718–1718. 1 indexed citations

12.

Yang, Liang, Yuanfang Guo, Junhua Gu, et al.. (2020). Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Transactions on Cybernetics. 52(4). 2123–2136. 18 indexed citations

13.

Liu, Dayou, et al.. (2019). Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access. 7. 53667–53676. 4 indexed citations

14.

Gao, Shang, et al.. (2019). Cost-Minimizing Online Algorithms for Geo-Distributed Data Analytics. IEEE Access. 7. 163515–163525. 1 indexed citations

15.

Li, Ximing & Bo Yang. (2018). A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words.. International Conference on Computational Linguistics. 1908–1917. 12 indexed citations

16.

Liu, Dayou, et al.. (2017). Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access. 6. 4750–4758. 3 indexed citations

17.

Yang, Bo, et al.. (2016). IASM: A System for the Intelligent Active Surveillance of Malaria. Computational and Mathematical Methods in Medicine. 2016. 1–11. 2 indexed citations

18.

Yang, Bo, et al.. (2014). Modeling and Inferring Epidemic Networks Based on Autonomy Oriented Computing. Journal of Software. 23(11). 2955–2970. 2 indexed citations

19.

Baquero, Carlos, Dayou Liu, Bo Yang, et al.. (2011). A Markov random walk under constraint for discovering overlapping communities in complex networks. RepositóriUM (Universidade do Minho). 60 indexed citations

20.

Yang, Bo, et al.. (2003). Anonymous and dynamic conference-key distribution system.. 2784–2788. 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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