Guozheng Li
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Complementary and alternative medicine top 0.5%
- Organic Chemistry top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Wencong LuXiao WangMingyu YouBruce E. RittmannJack YangGuo‐Jun DengFufeng LiMary Qu Yang
- Topics
- Traditional Chinese Medicine Studies (43 papers)Machine Learning in Bioinformatics (34 papers)Gene expression and cancer classification (23 papers)
- Cited by
- Complementary and alternative medicineEnergy Engineering and Power TechnologyArtificial Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guozheng Li
196 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 197
- Molecular Biology 1.2k
- Artificial Intelligence 679
- Complementary and alternative medicine 440
- Organic Chemistry 314
- Computer Vision and Pattern Recognition 305
Countries citing papers authored by Guozheng Li
This map shows the geographic impact of Guozheng Li'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 Guozheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guozheng Li more than expected).
Fields of papers citing papers by Guozheng Li
This network shows the impact of papers produced by Guozheng Li. 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 Guozheng Li. The network helps show where Guozheng Li may publish in the future.
Co-authorship network of co-authors of Guozheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Guozheng Li. A scholar is included among the top collaborators of Guozheng Li 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 Guozheng Li. Guozheng Li 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 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 51 | |
| 11 | T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine | 6 |
| 12 | 3 | |
| 13 | A study of damp-heat syndrome classification using Word2vec and TF-IDF | 6 |
| 14 | 19 | |
| 15 | 3 | |
| 16 | Computer Science Education (ICCSE), 2012 7th International Conference on | 32 |
| 17 | 2 | |
| 18 | Classification of Brain Glioma by Using Neural Networks Ensemble with Multi-Task Learning. | 1 |
| 19 | Feature Selection for Co-Training: A QSAR Study. | 1 |
| 20 | An Empirical Study on the Effect of Individual Factors on Knowledge Sharing by Knowledge Type | 60 |
About Guozheng Li
Guozheng Li is a scholar working on Complementary and alternative medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 205 papers that have together received 3.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (43 papers), Machine Learning in Bioinformatics (34 papers) and Gene expression and cancer classification (23 papers). The work is most often cited by research in Complementary and alternative medicine (440 citations), Energy Engineering and Power Technology (72 citations) and Artificial Intelligence (679 citations). Guozheng Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wencong Lu, Xiao Wang, Mingyu You, Bruce E. Rittmann, Jack Yang, Guo‐Jun Deng, Fufeng Li, Mary Qu Yang, Yu‐Dong Cai and Bing Niu. Their work appears in journals such as Nature Communications, Environmental Science & Technology and Bioinformatics.
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.