Xiaozhong Liu
- Plant Science top 2%
- Artificial Intelligence top 1%
- Information Systems top 2%
- Molecular Biology
- Global and Planetary Change top 10%
- Topics
- Topic Modeling (57 papers)Advanced Text Analysis Techniques (30 papers)Complex Network Analysis Techniques (19 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiaozhong Liu
139 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 162
- Plant Science 963
- Artificial Intelligence 881
- Information Systems 400
- Molecular Biology 363
- Global and Planetary Change 237
Countries citing papers authored by Xiaozhong Liu
This map shows the geographic impact of Xiaozhong 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 Xiaozhong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhong Liu more than expected).
Fields of papers citing papers by Xiaozhong Liu
This network shows the impact of papers produced by Xiaozhong 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 Xiaozhong Liu. The network helps show where Xiaozhong Liu may publish in the future.
Co-authorship network of co-authors of Xiaozhong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhong Liu. A scholar is included among the top collaborators of Xiaozhong Liu 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 Xiaozhong Liu. Xiaozhong Liu 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 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | One vs. Many QA Matching with both Word-level and Sentence-level Attention Network | 1 |
| 12 | edge2vec: Learning Node Representation Using Edge Semantics. | 3 |
| 13 | Using metadata for query refinement and recommendation | 1 |
| 14 | Semantic relation extraction from socially-generated tags: a methodology for metadata generation | 8 |
| 15 | Data Communication of DSP and Single Chip Based on Doublemeatus RAM | 0 |
| 16 | Effect of 4PU-30 on delaying senescence of hybrid rice leaves | 1 |
| 17 | Influence of Supplemental Ultraviolet-B Radiation on IAA and ABA Content in the Leaves of Rice | 2 |
| 18 | Effect of Ultraviolet- B Irradiation on Lipid Peroxidation in Spinach Leaves | 2 |
| 19 | The study on increasing salt resistance of rice by calcium | 2 |
| 20 | Accumulation of Superoxide Radical in Corn Leaves During Waterlogging. | 4 |
About Xiaozhong Liu
Xiaozhong Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 159 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topic Modeling (57 papers), Advanced Text Analysis Techniques (30 papers) and Complex Network Analysis Techniques (19 papers). The work is most often cited by research in Artificial Intelligence (881 citations), Plant Science (963 citations) and Soil Science (176 citations). Xiaozhong Liu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Bingru Huang, Chun Guo, Shaobai Huang, Qiujie Dai, Bin Yan, Jinsong Zhang, Chun Guo, Zixia Wang, Zhuoren Jiang and Yiqi Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Expert Systems with Applications.
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.