Xinghua Lou
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Biophysics top 2%
- Spectroscopy top 10%
- Co-authors
- Fred A. HamprechtAnna‐Katerina HadjantonakisSilvia Muñoz‐DescalzoMin‐Jung KangPanagiotis XenopoulosDileep GeorgeHuayan WangZhaoshi Meng
- Topics
- Pluripotent Stem Cells Research (5 papers)Cell Image Analysis Techniques (5 papers)Single-cell and spatial transcriptomics (3 papers)
- Journals
- ScienceBioinformaticsDevelopment
- Partner nations
- United StatesGermanyChina
In The Last Decade
Xinghua Lou
24 papers receiving 652 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 311
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 131
- Biophysics 127
- Spectroscopy 81
Countries citing papers authored by Xinghua Lou
This map shows the geographic impact of Xinghua Lou'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 Xinghua Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghua Lou more than expected).
Fields of papers citing papers by Xinghua Lou
This network shows the impact of papers produced by Xinghua Lou. 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 Xinghua Lou. The network helps show where Xinghua Lou may publish in the future.
Co-authorship network of co-authors of Xinghua Lou
This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Lou. A scholar is included among the top collaborators of Xinghua Lou 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 Xinghua Lou. Xinghua Lou 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 | Schema networks: zero-shot transfer with a generative causal model of intuitive physics | 8 |
| 5 | 151 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 86 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 27 | |
| 14 | 34 | |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Structured Learning for Cell Tracking | 24 |
| 18 | 11 | |
| 19 | 20 | |
| 20 | 3 |
About Xinghua Lou
Xinghua Lou is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 669 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Biophysics (127 citations), Computer Vision and Pattern Recognition (137 citations) and Media Technology (43 citations). Xinghua Lou has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Fred A. Hamprecht, Anna‐Katerina Hadjantonakis, Silvia Muñoz‐Descalzo, Min‐Jung Kang, Panagiotis Xenopoulos, Dileep George, Huayan Wang, Zhaoshi Meng, Miguel Lázaro-Gredilla and Yi Liu. Their work appears in journals such as Science, Bioinformatics and Development.
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.