Hongfei Yan
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Xiaoming LiJing JiangXin ZhaoJing HeXian-Ling MaoYanghao LiZhaoyan MingTat‐Seng Chua
- Topics
- Web Data Mining and Analysis (20 papers)Advanced Text Analysis Techniques (10 papers)Topic Modeling (9 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hongfei Yan
34 papers receiving 598 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 491
- Information Systems 217
- Computer Vision and Pattern Recognition 78
- Computer Networks and Communications 74
- Statistical and Nonlinear Physics 67
Countries citing papers authored by Hongfei Yan
This map shows the geographic impact of Hongfei Yan'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 Hongfei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongfei Yan more than expected).
Fields of papers citing papers by Hongfei Yan
This network shows the impact of papers produced by Hongfei Yan. 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 Hongfei Yan. The network helps show where Hongfei Yan may publish in the future.
Co-authorship network of co-authors of Hongfei Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Hongfei Yan. A scholar is included among the top collaborators of Hongfei Yan 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 Hongfei Yan. Hongfei Yan 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 | 1 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | Non-Linear Smoothed Transductive Network Embedding with Text Information. | 1 |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 12 | |
| 9 | SSHLDA: A Semi-Supervised Hierarchical Topic Model | 36 |
| 10 | 2 | |
| 11 | A Novel Burst-based Text Representation Model for Scalable Event Detection | 18 |
| 12 | 6 | |
| 13 | Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid | 250 |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Chinese Web Retrieval Test Collections:Construction,Analysis and Application | 1 |
| 17 | 4 | |
| 18 | A New Data Storage and Service Model of China Web InfoMall 1 | 1 |
| 19 | 4 | |
| 20 | 22 |
About Hongfei Yan
Hongfei Yan is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 36 papers that have together received 635 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (20 papers), Advanced Text Analysis Techniques (10 papers) and Topic Modeling (9 papers). The work is most often cited by research in Artificial Intelligence (491 citations), Information Systems (217 citations) and General Social Sciences (20 citations). Hongfei Yan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaoming Li, Jing Jiang, Xin Zhao, Jing He, Xian-Ling Mao, Yanghao Li, Zhaoyan Ming, Tat‐Seng Chua, Jiaying Liu and Lu Yang. Their work appears in journals such as Frontiers in Oncology, Computer Networks and Journal of Systems and Software.
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.