Yongguo Liu
- Biochemistry top 5%
- Artificial Intelligence top 5%
- Advanced Clustering Algorithms Research 8
- Topic Modeling 7
- Text and Document Classification Technologies 6
- Food Science top 5%
- Spectroscopy top 5%
- Organic Chemistry top 10%
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- Computational Drug Discovery Methods 10
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- Face and Expression Recognition 9
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- Complex Network Analysis Techniques 9
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- Traditional Chinese Medicine Studies 8
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- Biomedical Text Mining and Ontologies 8
- Co-authors
- Xindong WuJiajing ZhuYun ZhangHongyu TianYi-Dong ShenJie OuyangYanwen WuShaoxiang Yang
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Yongguo Liu
107 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 153
- Biochemistry 111
- Artificial Intelligence 386
- Food Science 216
- Spectroscopy 193
- Organic Chemistry 318
Countries citing papers authored by Yongguo Liu
This map shows the geographic impact of Yongguo Liu'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 Yongguo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongguo Liu more than expected).
Fields of papers citing papers by Yongguo Liu
This network shows the impact of papers produced by Yongguo Liu. 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 Yongguo Liu. The network helps show where Yongguo Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongguo Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 13 | |
| 16 | 2017 | 142 | |
| 17 | Biclustering of the Gene Expression Data by Coevolution Cuckoo Search | 2015 | 3 |
| 18 | Clustering Detection Algorithms for Network Intrusions | 2004 | 0 |
| 19 | Feature Subset Selection Based on Genetic Algorithm | 2003 | 4 |
| 20 | 2003 | 1 |
About Yongguo Liu
Yongguo Liu is a scholar working on Toxicology, Complementary and alternative medicine and Artificial Intelligence, having authored 119 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Face and Expression Recognition (9 papers), Complex Network Analysis Techniques (9 papers), Traditional Chinese Medicine Studies (8 papers), Advanced Clustering Algorithms Research (8 papers), Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (7 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Biochemistry (111 citations), Artificial Intelligence (386 citations) and Food Science (216 citations). Yongguo Liu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xindong Wu, Jiajing Zhu, Yun Zhang, Hongyu Tian, Yi-Dong Shen, Jie Ouyang, Yanwen Wu, Shaoxiang Yang, Kefei Chen and Baoguo Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.