Xindong Liu
- Immunology top 2%
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 2%
- Oncology top 5%
- Topics
- Immune Cell Function and Interaction (23 papers)T-cell and B-cell Immunology (16 papers)Immunotherapy and Immune Responses (10 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Xindong Liu
80 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 158
- Immunology 1.5k
- Molecular Biology 846
- Electrical and Electronic Engineering 742
- Control and Systems Engineering 543
- Oncology 490
Countries citing papers authored by Xindong Liu
This map shows the geographic impact of Xindong 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 Xindong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xindong Liu more than expected).
Fields of papers citing papers by Xindong Liu
This network shows the impact of papers produced by Xindong 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 Xindong Liu. The network helps show where Xindong Liu may publish in the future.
Co-authorship network of co-authors of Xindong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xindong Liu. A scholar is included among the top collaborators of Xindong 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 Xindong Liu. Xindong 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 | 1 | |
| 2 | 1 | |
| 3 | 66 | |
| 4 | 24 | |
| 5 | 12 | |
| 6 | 43 | |
| 7 | 15 | |
| 8 | 166 | |
| 9 | 35 | |
| 10 | 49 | |
| 11 | [Characteristics of Water-soluble Inorganic Ions in PM2.5 and PM2.5-10 in Mountain Background Region of East China in Spring]. | 1 |
| 12 | 37 | |
| 13 | Dynamic Load Model Parameter Prediction Using Confidence-Interval-Based Fuzzy Linear Regression | 2 |
| 14 | [Characteristics of PM10 and PM2.5 concentrations in mountain background region of East China]. | 3 |
| 15 | 1 | |
| 16 | A Cascading Failure Model and High-risk Line Identification Based on an Optimal Risk Index | 3 |
| 17 | 43 | |
| 18 | 68 | |
| 19 | 85 | |
| 20 | 14 |
About Xindong Liu
Xindong Liu is a scholar working on Immunology, Cancer Research and Ecological Modeling, having authored 82 papers that have together received 3.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (16 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (1.5k citations), Energy Engineering and Power Technology (103 citations) and Control and Systems Engineering (543 citations). Xindong Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Chen Dong, Mohammad Shahidehpour, Yijia Cao, Zuyi Li, Roza Nurieva, Bo Zhong, Xiaohu Wang, Aibo Wang, Xiaoping Zhu and Xiu‐Wu Bian. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.