Haoyu Wang
- Artificial Intelligence top 5%
- Statistics, Probability and Uncertainty top 2%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Dan RothNam Ho KimMuhao ChenNéstor V. QueipoHongming ZhangHongyun SiHongfeng ZhangVictor Shi
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (12 papers)Advanced Text Analysis Techniques (6 papers)
- Cited by
- Statistics, Probability and UncertaintyArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haoyu Wang
60 papers receiving 528 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 236
- Statistics, Probability and Uncertainty 90
- Information Systems 68
- Computer Vision and Pattern Recognition 63
- Computational Theory and Mathematics 56
Countries citing papers authored by Haoyu Wang
This map shows the geographic impact of Haoyu 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 Haoyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyu Wang more than expected).
Fields of papers citing papers by Haoyu Wang
This network shows the impact of papers produced by Haoyu 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 Haoyu Wang. The network helps show where Haoyu Wang may publish in the future.
Co-authorship network of co-authors of Haoyu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haoyu Wang. A scholar is included among the top collaborators of Haoyu 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 Haoyu Wang. Haoyu 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 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 60 | |
| 17 | 15 | |
| 18 | CENTRALIZED VISION -BASED CONTROLLER FOR UNMANNED GUIDED VEHICLE DETECTION ——————————————————————————————————————————————-———— | 0 |
| 19 | 1 | |
| 20 | 6 |
About Haoyu Wang
Haoyu Wang is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Signal Processing, having authored 70 papers that have together received 554 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (90 citations), Artificial Intelligence (236 citations) and Management Science and Operations Research (55 citations). Haoyu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dan Roth, Nam Ho Kim, Muhao Chen, Néstor V. Queipo, Hongming Zhang, Hongyun Si, Hongfeng Zhang, Hongming Zhang, Victor Shi and Nam Kim. Their work appears in journals such as European Journal of Operational Research, Sensors and AIAA Journal.
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.