Liang Xin
- Molecular Biology
- Infectious Diseases
- Organic Chemistry
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Topics
- Energy, Environment, Economic Growth (4 papers)Image and Object Detection Techniques (3 papers)Remote Sensing and Land Use (3 papers)
- Cited by
- Molecular MedicineApplied Microbiology and BiotechnologyComputational Theory and Mathematics
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Liang Xin
40 papers receiving 624 citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 186
- Infectious Diseases 110
- Organic Chemistry 108
- Computational Theory and Mathematics 100
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Liang Xin
This map shows the geographic impact of Liang Xin'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 Liang Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Xin more than expected).
Fields of papers citing papers by Liang Xin
This network shows the impact of papers produced by Liang Xin. 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 Liang Xin. The network helps show where Liang Xin may publish in the future.
Co-authorship network of co-authors of Liang Xin
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xin. A scholar is included among the top collaborators of Liang Xin 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 Liang Xin. Liang Xin 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 | 1 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 53 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | Wireless Sensor Network Localization Research | 1 |
| 15 | Slope adaptive based segmentation for airborne LiDAR | 1 |
| 16 | A multilevel ocean mixed-layer model for 2-dimension applications | 7 |
| 17 | [The application of case-based learning in English in teaching of clinical stomatological courses]. | 2 |
| 18 | Overview of Iris Recognition | 1 |
| 19 | Estimation on gains and losses of ecosystem service values based on land use/coverage change:a case of Daqing City | 1 |
| 20 | Strategy and Methodology for Analysis of Active Component Fingerprint of Traditional Chinese Medicines | 1 |
About Liang Xin
Liang Xin is a scholar working on Applied Microbiology and Biotechnology, Management Science and Operations Research and Complementary and alternative medicine, having authored 49 papers that have together received 642 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (4 papers), Image and Object Detection Techniques (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Molecular Medicine (36 citations), Applied Microbiology and Biotechnology (13 citations) and Computational Theory and Mathematics (100 citations). Liang Xin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chengyuan Liang, Wenqiang Cao, Lei Tian, Hong Liu, Xiaodong Ren, Yanlin Jian, Dezhu Zhang, Xiaolin Xie, Jingyi Li and Qianqian Zhao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.