Ruizhang Huang
- Artificial Intelligence top 2%
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Yanping ChenYongbin QinJun ZhangOu LiuHenry Shu-Hung ChungWai LamQinghua ZhengYue‐Jiao Gong
- Topics
- Topic Modeling (40 papers)Natural Language Processing Techniques (29 papers)Text and Document Classification Technologies (18 papers)
- Cited by
- Artificial IntelligenceIndustrial and Manufacturing EngineeringManagement Science and Operations Research
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruizhang Huang
64 papers receiving 817 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 595
- Industrial and Manufacturing Engineering 152
- Computer Vision and Pattern Recognition 129
- Information Systems 114
- Management Science and Operations Research 109
Countries citing papers authored by Ruizhang Huang
This map shows the geographic impact of Ruizhang Huang'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 Ruizhang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhang Huang more than expected).
Fields of papers citing papers by Ruizhang Huang
This network shows the impact of papers produced by Ruizhang Huang. 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 Ruizhang Huang. The network helps show where Ruizhang Huang may publish in the future.
Co-authorship network of co-authors of Ruizhang Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhang Huang. A scholar is included among the top collaborators of Ruizhang Huang 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 Ruizhang Huang. Ruizhang Huang 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 28 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 29 |
About Ruizhang Huang
Ruizhang Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 72 papers that have together received 863 indexed citations. Recurring topics across this work include Topic Modeling (40 papers), Natural Language Processing Techniques (29 papers) and Text and Document Classification Technologies (18 papers). The work is most often cited by research in Artificial Intelligence (595 citations), Industrial and Manufacturing Engineering (152 citations) and Management Science and Operations Research (109 citations). Ruizhang Huang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yanping Chen, Yongbin Qin, Jun Zhang, Ou Liu, Henry Shu-Hung Chung, Wai Lam, Qinghua Zheng, Yue‐Jiao Gong, Yuhui Shi and Zhaojun Wang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.
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.