Fuzhi Zhang
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Wenyuan LiuPeng ZhangHonghong ChenSai LiuFuli ZhangJianmin ChenShaoshuai LiuZhaohui Yuan
- Topics
- Recommender Systems and Techniques (39 papers)Spam and Phishing Detection (32 papers)Sentiment Analysis and Opinion Mining (15 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fuzhi Zhang
68 papers receiving 923 citations
Peers
Comparison fields: 5 of 87
- Information Systems 661
- Artificial Intelligence 455
- Computer Networks and Communications 226
- Statistical and Nonlinear Physics 100
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Fuzhi Zhang
This map shows the geographic impact of Fuzhi Zhang'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 Fuzhi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuzhi Zhang more than expected).
Fields of papers citing papers by Fuzhi Zhang
This network shows the impact of papers produced by Fuzhi Zhang. 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 Fuzhi Zhang. The network helps show where Fuzhi Zhang may publish in the future.
Co-authorship network of co-authors of Fuzhi Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Fuzhi Zhang. A scholar is included among the top collaborators of Fuzhi Zhang 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 Fuzhi Zhang. Fuzhi Zhang 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 | 0 | |
| 3 | 49 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 28 | |
| 15 | 16 | |
| 16 | 59 | |
| 17 | A Two-stage Recommendation Algorithm Based on K-means Clustering In Mobile E-commerce | 5 |
| 18 | Improved feature selection algorithm in spam filtering based on TF*IDF | 0 |
| 19 | Survey on Knowledge,Attitude,and Behavior of MSM Toward AIDS in Handan | 1 |
| 20 | 6 |
About Fuzhi Zhang
Fuzhi Zhang is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 74 papers that have together received 952 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (39 papers), Spam and Phishing Detection (32 papers) and Sentiment Analysis and Opinion Mining (15 papers). The work is most often cited by research in Information Systems (661 citations), Artificial Intelligence (455 citations) and Transportation (72 citations). Fuzhi Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenyuan Liu, Peng Zhang, Honghong Chen, Peng Zhang, Sai Liu, Fuli Zhang, Jianmin Chen, Shaoshuai Liu, Zhaohui Yuan and Na Liang. Their work appears in journals such as Applied Catalysis B: Environmental, Expert Systems with Applications and Information Sciences.
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.