Lifang Zhou
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Genetics
- Biomedical Engineering
- Topics
- Face and Expression Recognition (18 papers)CRISPR and Genetic Engineering (12 papers)Face recognition and analysis (11 papers)
- Journals
- Nucleic Acids ResearchThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Lifang Zhou
114 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 341
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 96
- Genetics 83
- Biomedical Engineering 83
Countries citing papers authored by Lifang Zhou
This map shows the geographic impact of Lifang Zhou'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 Lifang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifang Zhou more than expected).
Fields of papers citing papers by Lifang Zhou
This network shows the impact of papers produced by Lifang Zhou. 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 Lifang Zhou. The network helps show where Lifang Zhou may publish in the future.
Co-authorship network of co-authors of Lifang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Lifang Zhou. A scholar is included among the top collaborators of Lifang Zhou 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 Lifang Zhou. Lifang Zhou 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 | 17 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | Adaptive EDTLBP face recognition method | 1 |
| 13 | Face detection method based on multi-skin color space and AdaBoost algorithm | 1 |
| 14 | A new model predictive controller with swarm intelligence implemented on FPGA | 13 |
| 15 | Fuzzy Adaptive Generalized Predictive Control for Wastewater Treatment Process | 1 |
| 16 | Effect of Different Growths on Antioxidant Activities of Toona sinensis and Their Antioxidant Functions | 1 |
| 17 | 2 | |
| 18 | Scale Insect List Damaging to Flowers and Plants in Zhejiang Province | 1 |
| 19 | Recent Research progress in Pharmaceutical and Physiological Effects of Melatonin | 1 |
| 20 | The IMC Structure of Multi-rate Multivariable Predictive Control Systems and An Improved Algorithm | 4 |
About Lifang Zhou
Lifang Zhou is a scholar working on Computer Vision and Pattern Recognition, Fuel Technology and Speech and Hearing, having authored 121 papers that have together received 1.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (18 papers), CRISPR and Genetic Engineering (12 papers) and Face recognition and analysis (11 papers). The work is most often cited by research in Business and International Management (24 citations), Speech and Hearing (78 citations) and Sensory Systems (52 citations). Lifang Zhou has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jian‐Xun Mi, Weisheng Li, Shaohua Yao, Yanhong Wang, Yun Hu, Bangjun Lei, Nan Liu, Rui Tao, Qiang Chen and Li Li. Their work appears in journals such as Nucleic Acids Research, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.