Linrui Zhang
About
In The Last Decade
Linrui Zhang
35 papers receiving 875 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 531
- Materials Chemistry 401
- Polymers and Plastics 178
- Renewable Energy, Sustainability and the Environment 131
- Organic Chemistry 114
Countries citing papers authored by Linrui Zhang
This map shows the geographic impact of Linrui 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 Linrui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linrui Zhang more than expected).
Fields of papers citing papers by Linrui Zhang
This network shows the impact of papers produced by Linrui 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 Linrui Zhang. The network helps show where Linrui Zhang may publish in the future.
Co-authorship network of co-authors of Linrui Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Linrui Zhang. A scholar is included among the top collaborators of Linrui 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 Linrui Zhang. Linrui 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning. | 2 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 34 | |
| 14 | 0 | |
| 15 | Chinese Relation Classification via Convolutional Neural Networks. | 1 |
| 16 | Chinese Relation Classification using Long Short Term Memory Networks | 3 |
| 17 | 161 | |
| 18 | Rule-based vs. Neural Net Approaches to Semantic Textual Similarity | 1 |
| 19 | 18 | |
| 20 | 10 |
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.