Huazheng Wang
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Science Applications top 10%
- Co-authors
- Hongning WangQingyun WuQuanquan GuTao YangQingyao AiJiaxin MaoJianfeng GaoZhe Gan
- Topics
- Advanced Bandit Algorithms Research (9 papers)Smart Grid Energy Management (4 papers)Recommender Systems and Techniques (4 papers)
- Journals
- ACM Transactions on Information SystemsarXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Huazheng Wang
14 papers receiving 261 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 193
- Management Science and Operations Research 165
- Information Systems 161
- Electrical and Electronic Engineering 49
- Computer Science Applications 26
Countries citing papers authored by Huazheng Wang
This map shows the geographic impact of Huazheng 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 Huazheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huazheng Wang more than expected).
Fields of papers citing papers by Huazheng Wang
This network shows the impact of papers produced by Huazheng 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 Huazheng Wang. The network helps show where Huazheng Wang may publish in the future.
Co-authorship network of co-authors of Huazheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Huazheng Wang. A scholar is included among the top collaborators of Huazheng 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 Huazheng Wang. Huazheng 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 31 | |
| 14 | 54 | |
| 15 | 55 | |
| 16 | 53 |
About Huazheng Wang
Huazheng Wang is a scholar working on Management Science and Operations Research, Computer Science Applications and Artificial Intelligence, having authored 16 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (9 papers), Smart Grid Energy Management (4 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Management Science and Operations Research (165 citations), Information Systems (161 citations) and Artificial Intelligence (193 citations). Huazheng Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hongning Wang, Qingyun Wu, Quanquan Gu, Tao Yang, Qingyao Ai, Jiaxin Mao, Jianfeng Gao, Zhe Gan, Xiaodong Liu and Jun Liu. Their work appears in journals such as ACM Transactions on Information Systems, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial 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.