Jingang Wang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Molecular Biology
- Aerospace Engineering
- Co-authors
- Songbin LiPeng LiuQifan WangLiqi YanChangbin YuSiqi MaFuzheng ZhangLejian Liao
- Topics
- Topic Modeling (35 papers)Natural Language Processing Techniques (25 papers)Advanced Steganography and Watermarking Techniques (8 papers)
- Journals
- Journal of Hazardous MaterialsScientific ReportsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jingang Wang
71 papers receiving 496 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 310
- Computer Vision and Pattern Recognition 182
- Information Systems 53
- Molecular Biology 52
- Aerospace Engineering 41
Countries citing papers authored by Jingang Wang
This map shows the geographic impact of Jingang 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 Jingang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingang Wang more than expected).
Fields of papers citing papers by Jingang Wang
This network shows the impact of papers produced by Jingang 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 Jingang Wang. The network helps show where Jingang Wang may publish in the future.
Co-authorship network of co-authors of Jingang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingang Wang. A scholar is included among the top collaborators of Jingang Wang 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 Jingang Wang. Jingang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 43 | |
| 19 | BIT and MSRA at TREC KBA CCR Track 2013 | 14 |
| 20 | Somatic Embryogenesis in Lily Bulb Scale Cultures | 1 |
About Jingang Wang
Jingang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oceanography, having authored 81 papers that have together received 513 indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Natural Language Processing Techniques (25 papers) and Advanced Steganography and Watermarking Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (310 citations), Computer Vision and Pattern Recognition (182 citations) and Information Systems (53 citations). Jingang Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Songbin Li, Peng Liu, Qifan Wang, Liqi Yan, Qifan Wang, Changbin Yu, Siqi Ma, Fuzheng Zhang, Lejian Liao and Dandan Song. Their work appears in journals such as Journal of Hazardous Materials, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.
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.