Fang Zhou
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Huansheng NingXu-Cheng YinZhimin ZhangShunkun YangJingyan QinFadi FarhaAdnan Omer AbuassbaHongwei Hao
- Topics
- Recommender Systems and Techniques (6 papers)Text and Document Classification Technologies (6 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Zhou
37 papers receiving 297 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 119
- Information Systems 88
- Computer Networks and Communications 72
- Computer Vision and Pattern Recognition 51
- Experimental and Cognitive Psychology 36
Countries citing papers authored by Fang Zhou
This map shows the geographic impact of Fang Zhou'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 Fang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Zhou more than expected).
Fields of papers citing papers by Fang Zhou
This network shows the impact of papers produced by Fang Zhou. 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 Fang Zhou. The network helps show where Fang Zhou may publish in the future.
Co-authorship network of co-authors of Fang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zhou. A scholar is included among the top collaborators of Fang Zhou 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 Fang Zhou. Fang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 46 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 29 | |
| 14 | USTB at Social Book Search 2016 Suggestion Task: Active Books Set and Re-ranking. | 2 |
| 15 | 9 | |
| 16 | A generic retrieval system for biomedical literatures: USTB at BioASQ2015 Question Answering Task | 7 |
| 17 | USTB at Social Book Search 2015 Suggestion Task: Metadata Expansion and Reranking. | 1 |
| 18 | 11 | |
| 19 | USTB at INEX2014: Social Book Search Track | 3 |
| 20 | 11 |
About Fang Zhou
Fang Zhou is a scholar working on Equine, Artificial Intelligence and Information Systems, having authored 40 papers that have together received 308 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Text and Document Classification Technologies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Information Systems (88 citations), Artificial Intelligence (119 citations) and Health Informatics (5 citations). Fang Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huansheng Ning, Xu-Cheng Yin, Zhimin Zhang, Shunkun Yang, Jingyan Qin, Fadi Farha, Adnan Omer Abuassba, Hongwei Hao, Chun Yang and Lei Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.