Jianyong Wang
About
In The Last Decade
Jianyong Wang
134 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 3.7k
- Information Systems 3.3k
- Signal Processing 1.8k
- Computational Theory and Mathematics 1.3k
- Computer Networks and Communications 1.3k
Countries citing papers authored by Jianyong Wang
This map shows the geographic impact of Jianyong 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 Jianyong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianyong Wang more than expected).
Fields of papers citing papers by Jianyong Wang
This network shows the impact of papers produced by Jianyong 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 Jianyong Wang. The network helps show where Jianyong Wang may publish in the future.
Co-authorship network of co-authors of Jianyong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jianyong Wang. A scholar is included among the top collaborators of Jianyong 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 Jianyong Wang. Jianyong 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 27 | |
| 14 | Collaborative multi-level embedding learning from reviews for rating prediction | 43 |
| 15 | Prior-based dual additive latent dirichlet allocation for user-item connected documents | 5 |
| 16 | Integrating semantic relatedness and words' intrinsic features for keyword extraction | 8 |
| 17 | Three-stage Teaching Method for Java Language Programming Design | 1 |
| 18 | Survey on research of sentiment analysis | 4 |
| 19 | Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004 | 23 |
| 20 | 4 |
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.