Haiyun Peng
- Artificial Intelligence top 0.5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science top 10%
- Experimental and Cognitive Psychology top 10%
- Topics
- Sentiment Analysis and Opinion Mining (10 papers)Topic Modeling (8 papers)Advanced Text Analysis Techniques (6 papers)
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Haiyun Peng
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.4k
- Information Systems 208
- Computer Vision and Pattern Recognition 128
- Sociology and Political Science 116
- Experimental and Cognitive Psychology 80
Countries citing papers authored by Haiyun Peng
This map shows the geographic impact of Haiyun Peng'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 Haiyun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyun Peng more than expected).
Fields of papers citing papers by Haiyun Peng
This network shows the impact of papers produced by Haiyun Peng. 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 Haiyun Peng. The network helps show where Haiyun Peng may publish in the future.
Co-authorship network of co-authors of Haiyun Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Peng. A scholar is included among the top collaborators of Haiyun Peng 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 Haiyun Peng. Haiyun Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 26 | |
| 3 | 33 | |
| 4 | Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysisbreakdown → | 247 |
| 5 | 1 | |
| 6 | 61 | |
| 7 | 71 | |
| 8 | 24 | |
| 9 | 60 | |
| 10 | Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTMbreakdown → | 430 |
| 11 | 127 | |
| 12 | 0 | |
| 13 | 245 | |
| 14 | Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level. | 23 |
| 15 | 132 | |
| 16 | 135 | |
| 17 | 155 |
About Haiyun Peng
Haiyun Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (10 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Information Systems (208 citations) and General Social Sciences (23 citations). Haiyun Peng has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Erik Cambria, Yukun Ma, Amir Hussain, Yang Li, Tahir Abbas Khan, Lidong Bing, Fei Huang, Lu Xu, Wei Lu and Luo Si. Their work appears in journals such as Journal of Cleaner Production, Information Sciences and Neurocomputing.
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.