Xiaochang Peng
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Information Systems
- Signal Processing
- Co-authors
- Daniel GildeaLinfeng SongChuan WangNianwen XueGiorgio SattaYue ZhangGargi GhoshRichard Sproat
- Topics
- Topic Modeling (13 papers)Natural Language Processing Techniques (13 papers)Speech Recognition and Synthesis (2 papers)
- Journals
- Journal of HepatologyComputational LinguisticsProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesItalySingapore
In The Last Decade
Xiaochang Peng
14 papers receiving 281 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 291
- Computer Vision and Pattern Recognition 42
- Molecular Biology 25
- Information Systems 22
- Signal Processing 16
Countries citing papers authored by Xiaochang Peng
This map shows the geographic impact of Xiaochang 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 Xiaochang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochang Peng more than expected).
Fields of papers citing papers by Xiaochang Peng
This network shows the impact of papers produced by Xiaochang 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 Xiaochang Peng. The network helps show where Xiaochang Peng may publish in the future.
Co-authorship network of co-authors of Xiaochang Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochang Peng. A scholar is included among the top collaborators of Xiaochang 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 Xiaochang Peng. Xiaochang 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 | 12 | |
| 2 | 0 | |
| 3 | 49 | |
| 4 | 50 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 31 | |
| 9 | 45 | |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 47 | |
| 13 | 5 | |
| 14 | Capturing Long-distance Dependencies in Sequence Models: A Case Study of Chinese Part-of-speech Tagging | 3 |
| 15 | 14 |
About Xiaochang Peng
Xiaochang Peng is a scholar working on Artificial Intelligence, Hardware and Architecture and Hepatology, having authored 15 papers that have together received 312 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (13 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (291 citations), Computer Vision and Pattern Recognition (42 citations) and Signal Processing (16 citations). Xiaochang Peng has collaborated with scholars based in United States, Italy and Singapore. Frequent co-authors include Daniel Gildea, Linfeng Song, Chuan Wang, Nianwen Xue, Giorgio Satta, Yue Zhang, Gargi Ghosh, Richard Sproat, Brian Roark and Hao Ma. Their work appears in journals such as Journal of Hepatology, Computational Linguistics and Proceedings of the AAAI Conference on Artificial Intelligence.
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.