Fuchun Peng
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Andrew McCallumDale SchuurmansShaojun WangFangfang FengNick CerconeCalvin ThomasBin TanRamesh Nallapati
- Topics
- Topic Modeling (34 papers)Natural Language Processing Techniques (30 papers)Speech Recognition and Synthesis (14 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Fuchun Peng
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 2.0k
- Information Systems 826
- Signal Processing 243
- Computer Vision and Pattern Recognition 235
- Management Science and Operations Research 139
Countries citing papers authored by Fuchun Peng
This map shows the geographic impact of Fuchun 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 Fuchun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuchun Peng more than expected).
Fields of papers citing papers by Fuchun Peng
This network shows the impact of papers produced by Fuchun 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 Fuchun Peng. The network helps show where Fuchun Peng may publish in the future.
Co-authorship network of co-authors of Fuchun Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Fuchun Peng. A scholar is included among the top collaborators of Fuchun 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 Fuchun Peng. Fuchun 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 | 1 | |
| 3 | 22 | |
| 4 | Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models | 4 |
| 5 | 106 | |
| 6 | Search with Synonyms: Problems and Solutions | 5 |
| 7 | 8 | |
| 8 | 21 | |
| 9 | 91 | |
| 10 | 7 | |
| 11 | Chinese Named Entity Recognition with Conditional Probabilistic Models | 49 |
| 12 | 13 | |
| 13 | 77 | |
| 14 | Accurate Information Extraction from Research Papers using Conditional Random Fields | 189 |
| 15 | Latent Maximum Entropy Approach for Semantic N-gram Language Modeling | 1 |
| 16 | Language Independent Authorship Attribution with Character Level N-Grams | 4 |
| 17 | Learning mixture models with the latent maximum entropy principle | 3 |
| 18 | Waterloo at NTCIR-3: Using Self-supervised Word Segmentation | 1 |
| 19 | 2 | |
| 20 | A Hierarchical EM Approach to Word Segmentation. | 12 |
About Fuchun Peng
Fuchun Peng is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Natural Language Processing Techniques (30 papers) and Speech Recognition and Synthesis (14 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (826 citations) and Signal Processing (243 citations). Fuchun Peng has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Andrew McCallum, Dale Schuurmans, Shaojun Wang, Fangfang Feng, Nick Cercone, Calvin Thomas, Bin Tan, Ramesh Nallapati, James Allan and Ao Feng. Their work appears in journals such as Machine Learning, Information Processing & Management and Journal of Documentation.
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.