Yanbo Liang

764 total citations
8 papers, 179 citations indexed

About

Yanbo Liang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Yanbo Liang has authored 8 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Yanbo Liang's work include Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (3 papers) and Spam and Phishing Detection (2 papers). Yanbo Liang is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (3 papers) and Spam and Phishing Detection (2 papers). Yanbo Liang collaborates with scholars based in China, United States and Singapore. Yanbo Liang's co-authors include Chaozhuo Li, Senzhang Wang, Zhoujun Li, Philip S. Yu, Yun Liu, Lei Zheng, Xiaoming Zhang, Wei Wang, Hao Wang and Lifang He and has published in prestigious journals such as Knowledge-Based Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yanbo Liang

8 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanbo Liang China	6	154	88	49	28	21	8	179
Yannis Stavrakas Greece	7	98 0.6×	25 0.3×	67 1.4×	16 0.6×	34 1.6×	26	171
Mianwei Zhou United States	7	268 1.7×	53 0.6×	100 2.0×	15 0.5×	17 0.8×	10	322
Joshua Shinavier United States	5	66 0.4×	37 0.4×	34 0.7×	15 0.5×	28 1.3×	9	109
Karel Ježek Czechia	8	298 1.9×	90 1.0×	113 2.3×	15 0.5×	7 0.3×	25	397
Nazanin Alipourfard United States	4	87 0.6×	111 1.3×	26 0.5×	36 1.3×	23 1.1×	7	162
Matthias Broecheler United States	5	121 0.8×	46 0.5×	29 0.6×	8 0.3×	18 0.9×	7	171
Timothy La Fond United States	5	124 0.8×	160 1.8×	55 1.1×	27 1.0×	38 1.8×	7	244
Pavan Kapanipathi United States	12	323 2.1×	53 0.6×	95 1.9×	23 0.8×	18 0.9×	38	377
Michal Laclavík Slovakia	7	126 0.8×	33 0.4×	99 2.0×	9 0.3×	38 1.8×	36	189
René Schult Germany	4	113 0.7×	79 0.9×	48 1.0×	13 0.5×	28 1.3×	9	215

Countries citing papers authored by Yanbo Liang

Since Specialization

Citations

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

Fields of papers citing papers by Yanbo Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbo Liang

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

8 of 8 papers shown

1.

Li, Chaozhuo, Senzhang Wang, Hao Wang, et al.. (2019). Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. 249–258. 26 indexed citations

2.

Li, Chaozhuo, Senzhang Wang, Philip S. Yu, et al.. (2019). Adversarial Learning for Weakly-Supervised Social Network Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 996–1003. 70 indexed citations

3.

Tang, Mingjie, et al.. (2019). SAC: A System for Big Data Lineage Tracking. 1964–1967. 11 indexed citations

4.

Li, Chaozhuo, Senzhang Wang, Dejian Yang, et al.. (2019). Adversarial learning for multi-view network embedding on incomplete graphs. Knowledge-Based Systems. 180. 91–103. 7 indexed citations

5.

Li, Chaozhuo, Senzhang Wang, Philip S. Yu, et al.. (2018). Distribution Distance Minimization for Unsupervised User Identity Linkage. 447–456. 41 indexed citations

6.

Li, Chaozhuo, Senzhang Wang, Lifang He, et al.. (2018). SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. 247–256. 22 indexed citations

7.

Yang, Wenqing, et al.. (2018). SHC: Distributed Query Processing for Non-Relational Data Store. 11. 1465–1476. 1 indexed citations

8.

Liang, Yanbo, et al.. (2018). Optimizing Generalized Linear Models with Billions of Variables. 2155–2163. 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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