Donghan Yu

1000 total citations
22 papers, 418 citations indexed

About

Donghan Yu is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Sociology and Political Science. According to data from OpenAlex, Donghan Yu has authored 22 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Sociology and Political Science. Recurrent topics in Donghan Yu's work include Topic Modeling (6 papers), Risk and Safety Analysis (5 papers) and Advanced Graph Neural Networks (5 papers). Donghan Yu is often cited by papers focused on Topic Modeling (6 papers), Risk and Safety Analysis (5 papers) and Advanced Graph Neural Networks (5 papers). Donghan Yu collaborates with scholars based in United States, South Korea and China. Donghan Yu's co-authors include Yiming Yang, Michael Zeng, Chenguang Zhu, Yong Li, Yuexin Wu, Fengli Xu, Pengyu Zhang, Vassilis Kostakos, Jin Kyu Kim and Huan Yan and has published in prestigious journals such as Chemosphere, Applied Energy and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Donghan Yu

21 papers receiving 409 citations

Peers

Donghan Yu
Comparison fields: 5 of 95
  • Artificial Intelligence 210
  • Information Systems 72
  • Management Science and Operations Research 52
  • Computer Vision and Pattern Recognition 49
  • Environmental Chemistry 49
Replace Ilenia Epifani with:
Ilenia Epifani Italy
Enrique de la Hoz Spain
Nuno Moniz Portugal
Wen Shi China
Yujie Zhang China
Hongyun Bao China
Anıl Utku Türkiye
Ramon Lawrence Canada
Mauro Scanagatta Switzerland
Ilenia Epifani Italy View profile →
Citations per field, relative to Donghan Yu
Donghan Yu · 1×
Citations per year, relative to Donghan Yu
Donghan Yu · 1×

Countries citing papers authored by Donghan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Donghan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghan Yu. A scholar is included among the top collaborators of Donghan Yu 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 Donghan Yu. Donghan Yu 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
# Work Indexed citations
1 11
2 0
3 5
4 29
5 64
6 61
7
Generalized Multi-Relational Graph Convolution Network.
2
8 10
9 12
10 65
11 27
12 20
13 3
14 28
15 14
16 30
17 7
18
Expert Opinion Elicitation Process Using a Fuzzy Probability
4
19 2
20 2

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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