Wei Kong
- Molecular Biology top 10%
- Artificial Intelligence top 10%
- Cancer Research top 10%
- Filtration and Separation top 1%
- Fluid Flow and Transfer Processes top 5%
- Topics
- Bioinformatics and Genomic Networks (32 papers)Gene expression and cancer classification (24 papers)Cancer-related molecular mechanisms research (13 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Wei Kong
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 738
- Artificial Intelligence 196
- Cancer Research 166
- Filtration and Separation 155
- Fluid Flow and Transfer Processes 155
Countries citing papers authored by Wei Kong
This map shows the geographic impact of Wei Kong'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 Wei Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Kong more than expected).
Fields of papers citing papers by Wei Kong
This network shows the impact of papers produced by Wei Kong. 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 Wei Kong. The network helps show where Wei Kong may publish in the future.
Co-authorship network of co-authors of Wei Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Kong. A scholar is included among the top collaborators of Wei Kong 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 Wei Kong. Wei Kong 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | Discovering gene expression regulatory networks of incipient AD based on NMF | 1 |
| 20 | 22 |
About Wei Kong
Wei Kong is a scholar working on Cancer Research, Obstetrics and Gynecology and Molecular Biology, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (32 papers), Gene expression and cancer classification (24 papers) and Cancer-related molecular mechanisms research (13 papers). The work is most often cited by research in Filtration and Separation (155 citations), Fluid Flow and Transfer Processes (155 citations) and Cancer Research (166 citations). Wei Kong has collaborated with scholars based in China, United States and France. Frequent co-authors include Weimin Shi, Qi Shen, Xiaoyang Mou, Shuaiqun Wang, Jinsuo Lu, Jianji Wang, Zhenning Yan, Weiming Zeng, Jin Deng and Xudong Huang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Biochemical and Biophysical Research Communications.
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.