Haobo Wang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Mechanical Engineering
- Co-authors
- Gang ChenTianlei HuWeiwei LiuJunbo ZhaoChen ChenLei FengZhao LiXiaoye Miao
- Topics
- Text and Document Classification Technologies (11 papers)Machine Learning and Data Classification (9 papers)Topic Modeling (7 papers)
- Journals
- Journal of the American Chemical SocietyNano LettersIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Haobo Wang
50 papers receiving 468 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 244
- Computer Vision and Pattern Recognition 102
- Information Systems 76
- Molecular Biology 45
- Mechanical Engineering 39
Countries citing papers authored by Haobo Wang
This map shows the geographic impact of Haobo 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 Haobo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haobo Wang more than expected).
Fields of papers citing papers by Haobo Wang
This network shows the impact of papers produced by Haobo 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 Haobo Wang. The network helps show where Haobo Wang may publish in the future.
Co-authorship network of co-authors of Haobo Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haobo Wang. A scholar is included among the top collaborators of Haobo 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 Haobo Wang. Haobo 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 6 | |
| 20 | Differences in the agglutination activity of two oligomers of hemocyanin from Litopenaeus vannamei | 1 |
About Haobo Wang
Haobo Wang is a scholar working on Artificial Intelligence, Computer Science Applications and Process Chemistry and Technology, having authored 56 papers that have together received 473 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (11 papers), Machine Learning and Data Classification (9 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (244 citations), Computer Vision and Pattern Recognition (102 citations) and Information Systems (76 citations). Haobo Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Gang Chen, Tianlei Hu, Weiwei Liu, Junbo Zhao, Chen Chen, Lei Feng, Zhao Li, Xiaoye Miao, Jiaming Huang and Yunjun Gao. Their work appears in journals such as Journal of the American Chemical Society, Nano Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.