Yafang Wang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications
- Media Technology top 10%
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (6 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerIEEE Access
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yafang Wang
44 papers receiving 556 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 177
- Information Systems 111
- Computer Networks and Communications 58
- Media Technology 50
Countries citing papers authored by Yafang Wang
This map shows the geographic impact of Yafang 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 Yafang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yafang Wang more than expected).
Fields of papers citing papers by Yafang Wang
This network shows the impact of papers produced by Yafang 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 Yafang Wang. The network helps show where Yafang Wang may publish in the future.
Co-authorship network of co-authors of Yafang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yafang Wang. A scholar is included among the top collaborators of Yafang 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 Yafang Wang. Yafang 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 | 1 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 14 | |
| 15 | 74 | |
| 16 | 4 | |
| 17 | Spotting Facts in the Wild | 2 |
| 18 | Crowdsourced entity markup | 8 |
| 19 | Contingencies for Intercultural Dialogue in Virtual Space: An Empirical Research on the Role of Internet in Fostering Intercultural Competences from the Perspective of Migrant Youth | 1 |
| 20 | 0 |
About Yafang Wang
Yafang Wang is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 578 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Artificial Intelligence (221 citations) and Transportation (46 citations). Yafang Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zenglin Xu, Gerard de Melo, Jiachen Yang, Zhihan Lv, Bin Jiang, Houbing Song, Baoquan Chen, Changhe Tu, Gerhard Weikum and Jie Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and IEEE Access.
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.