Jiabing Wang
Impact in
- Organic Chemistry top 10%
- Synthesis and biological activity
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
-
- Inflammasome and immune disorders 6
- Genomics, phytochemicals, and oxidative stress 4
-
- Advanced Text Analysis Techniques 3
- Co-authors
- Guihua Wen (5 shared papers)Edwin Vedējs (2 shared papers)Jia Wei (11 shared papers)Yaxin Sun (1 shared paper)Jianzhang Wu (8 shared papers)Qianli Ma (8 shared papers)Peihong Qiu (5 shared papers)Wulan Li (5 shared papers)
- Journals
- Cancer Research (3 papers)European Journal of Medicinal Chemistry (3 papers)Information Sciences (2 papers)Neurocomputing (2 papers)Artificial Cells Nanomedicine and Biotechnology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jiabing Wang
46 papers receiving 966 citations
Peers
Comparison fields: 5 of 128
- Organic Chemistry 218
- Signal Processing 80
- Nephrology 53
- Neurology 56
- Molecular Biology 457
Countries citing papers authored by Jiabing Wang
This map shows the geographic impact of Jiabing Wang'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 Jiabing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiabing Wang more than expected).
Fields of papers citing papers by Jiabing Wang
This network shows the impact of papers produced by Jiabing Wang. 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 Jiabing Wang. The network helps show where Jiabing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiabing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 191 | |
| 2 | 2015 | 85 | |
| 3 | 2019 | 83 | |
| 4 | 2018 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2011 | 52 | |
| 7 | 2000 | 49 | |
| 8 | 1996 | 47 | |
| 9 | 2017 | 33 | |
| 10 | 2021 | 29 | |
| 11 | 2020 | 29 | |
| 12 | 2013 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2015 | 12 |
About Jiabing Wang
Jiabing Wang is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Organic Chemistry and Immunology, having authored 49 papers that have together received 987 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Inflammasome and immune disorders (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Complex Network Analysis Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and Curcumin's Biomedical Applications (3 papers). The work is most often cited by research in Organic Chemistry (218 citations), Signal Processing (80 citations), Nephrology (53 citations), Neurology (56 citations) and Molecular Biology (457 citations). Jiabing Wang has collaborated with scholars based in China and United States. Frequent co-authors include Guihua Wen, Edwin Vedējs, Jia Wei, Yaxin Sun, Jianzhang Wu, Qianli Ma, Peihong Qiu, Wulan Li, Lili Huang and Shouzhong Lin. Their work appears in journals such as Cancer Research, European Journal of Medicinal Chemistry, Information Sciences, Neurocomputing and Artificial Cells Nanomedicine and Biotechnology.
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.