Yubo Chen
- Artificial Intelligence top 0.5%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Topics
- Topic Modeling (23 papers)Natural Language Processing Techniques (20 papers)Advanced Text Analysis Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalNeurocomputing
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yubo Chen
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 1.5k
- Information Systems 222
- Management Science and Operations Research 163
- Molecular Biology 125
- Computer Vision and Pattern Recognition 125
Countries citing papers authored by Yubo Chen
This map shows the geographic impact of Yubo Chen'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 Yubo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubo Chen more than expected).
Fields of papers citing papers by Yubo Chen
This network shows the impact of papers produced by Yubo Chen. 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 Yubo Chen. The network helps show where Yubo Chen may publish in the future.
Co-authorship network of co-authors of Yubo Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yubo Chen. A scholar is included among the top collaborators of Yubo Chen 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 Yubo Chen. Yubo Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networksbreakdown → | 548 |
| 18 | Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networksbreakdown → | 680 |
| 19 | CASIA@QALD-3: A Question Answering System over Linked Data | 15 |
| 20 | The Phase Transition of Markets and Organizations: The New Intelligence and Entrepreneurial Frontier | 11 |
About Yubo Chen
Yubo Chen is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Business and International Management, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Management Science and Operations Research (163 citations) and Information Systems (222 citations). Yubo Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jun Zhao, Kang Liu, Daojian Zeng, Liheng Xu, Shengping Liu, Pengfei Cao, Yongfeng Huang, Chuhan Wu, Zhigang Yuan and Kang Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Neurocomputing.
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.