Dongsheng Che
- Co-authors
- Khaled RasheedBernard ChenYinglei SongMohammad Al HasanLiming CaiJun S. LiuPeng WanQi Liu
- Topics
- Genomics and Phylogenetic Studies (10 papers)RNA and protein synthesis mechanisms (9 papers)Machine Learning in Bioinformatics (7 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Dongsheng Che
28 papers receiving 341 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 250
- Plant Science 59
- Ecology 55
- Artificial Intelligence 51
- Genetics 49
Countries citing papers authored by Dongsheng Che
This map shows the geographic impact of Dongsheng Che'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 Dongsheng Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongsheng Che more than expected).
Fields of papers citing papers by Dongsheng Che
This network shows the impact of papers produced by Dongsheng Che. 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 Dongsheng Che. The network helps show where Dongsheng Che may publish in the future.
Co-authorship network of co-authors of Dongsheng Che
This figure shows the co-authorship network connecting the top 25 collaborators of Dongsheng Che. A scholar is included among the top collaborators of Dongsheng Che 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 Dongsheng Che. Dongsheng Che is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges. | 3 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | A Multi-Objective Evolutionary Approach for Haplotype Inference. | 0 |
| 10 | Brain MRI Image Segmentation using Fuzzy C-Means Clustering. | 1 |
| 11 | 28 | |
| 12 | 12 | |
| 13 | BCG vaccination coverage and epidemiology of tuberculosis in children: where do we stand one year after suspending mandatory immunization, in France? | 1 |
| 14 | Follow-up of 208 tuberculosis patients treated in 2004 with the assistance of TB-info® software. | 2 |
| 15 | 8 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 38 | |
| 19 | [The effects of iron compounds on SO2 and NO emissions in coal combustion process]. | 2 |
| 20 | 0 |
About Dongsheng Che
Dongsheng Che is a scholar working on Tourism, Leisure and Hospitality Management, Infectious Diseases and Molecular Biology, having authored 31 papers that have together received 366 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (9 papers) and Machine Learning in Bioinformatics (7 papers). The work is most often cited by research in Molecular Biology (250 citations), Endocrinology (17 citations) and Molecular Medicine (12 citations). Dongsheng Che has collaborated with scholars based in United States, China and France. Frequent co-authors include Khaled Rasheed, Bernard Chen, Yinglei Song, Mohammad Al Hasan, Liming Cai, Jun S. Liu, Peng Wan, Qi Liu, Han Wang and Ying Xu. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and BMC 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.