Ruocheng Guo

2.2k citations
52 papers · 781 indexed · h-index 18
Topics
Recommender Systems and Techniques (12 papers)Complex Network Analysis Techniques (11 papers)Advanced Causal Inference Techniques (10 papers)

In The Last Decade

Ruocheng Guo

50 papers receiving 773 citations

Peers

Ruocheng Guo
Comparison fields: 5 of 113
  • Artificial Intelligence 485
  • Information Systems 197
  • Statistical and Nonlinear Physics 92
  • Statistics and Probability 79
  • Sociology and Political Science 78
Replace Isabel Valera with:
Isabel Valera Germany
James R. Foulds United States
William Webber Australia
Mansooreh Karami United States
Michael Brückner Thailand
Sebastian Tschiatschek Austria
Parikshit Ram United States
Eugene Santos United States
Shay B. Cohen United Kingdom
Tomi Silander Finland
Ruocheng Guo relative to Isabel Valera Germany Isabel Valera's profile →
Citations per field
00.5×2.7×
Isabel Valera · 1×
Citations per year

Countries citing papers authored by Ruocheng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ruocheng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruocheng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ruocheng Guo. A scholar is included among the top collaborators of Ruocheng Guo 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 Ruocheng Guo. Ruocheng Guo 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
#WorkIndexed citations
1 0
2 2
3 5
4 4
5 1
6 2
7 16
8 2
9 2
10 2
11 26
12 42
13 4
14 39
15
Learning Individual Treatment Effects from Networked Observational Data.
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16 17
17 20
18 10
19 4
20 7

About Ruocheng Guo

Ruocheng Guo is a scholar working on Statistics and Probability, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 52 papers that have together received 781 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Complex Network Analysis Techniques (11 papers) and Advanced Causal Inference Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (485 citations), Health Informatics (18 citations) and Statistics and Probability (79 citations). Ruocheng Guo has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Huan Liu, Raha Moraffah, Jundong Li, Lu Cheng, Adrienne Raglin, Mansooreh Karami, Paulo Shakarian, Jing Ma, Aidong Zhang and Xiangyu Zhao. Their work appears in journals such as ACM Computing Surveys, Briefings in Bioinformatics and ACM Transactions on Information Systems.

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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