Peijie Huang
-
- Topic Modeling 11
- Natural Language Processing Techniques 10
- Speech and dialogue systems 5
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 3
-
- Distributed and Parallel Computing Systems 5
-
- Sepsis Diagnosis and Treatment 5
-
- Cloud Computing and Resource Management 4
- Co-authors
- Ruilan WangHong PengXuezhen LiJian LüRui TianFen QinZhenzhen LiuJiang Du
- Journals
- Future Generation Computer Systems (2 papers)IEEE Signal Processing Letters (2 papers)INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Peijie Huang
58 papers receiving 409 citations
Peers
Comparison fields: 5 of 110
- Nephrology 23
- Critical Care and Intensive Care Medicine 16
- Hardware and Architecture 17
- Artificial Intelligence 80
- Cancer Research 31
Countries citing papers authored by Peijie Huang
This map shows the geographic impact of Peijie Huang'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 Peijie Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peijie Huang more than expected).
Fields of papers citing papers by Peijie Huang
This network shows the impact of papers produced by Peijie Huang. 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 Peijie Huang. The network helps show where Peijie Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peijie Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 8 | |
| 15 | 2019 | 19 | |
| 16 | 2015 | 5 | |
| 17 | 2015 | 8 | |
| 18 | 2014 | 9 | |
| 19 | 2013 | 10 | |
| 20 | Data Preprocessing of Poultry Breeding Production Data | 2010 | 1 |
About Peijie Huang
Peijie Huang is a scholar working on Artificial Intelligence, Hardware and Architecture and Information Systems, having authored 65 papers that have together received 423 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Distributed and Parallel Computing Systems (5 papers), Speech and dialogue systems (5 papers), Sepsis Diagnosis and Treatment (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Cloud Computing and Resource Management (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Nephrology (23 citations), Critical Care and Intensive Care Medicine (16 citations) and Hardware and Architecture (17 citations). Peijie Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ruilan Wang, Hong Peng, Xuezhen Li, Jian Lü, Rui Tian, Fen Qin, Zhenzhen Liu, Jiang Du, Hui Xie and Jianghua Sun. Their work appears in journals such as Future Generation Computer Systems, IEEE Signal Processing Letters, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, Annals of Palliative Medicine and The American Journal of Emergency Medicine.
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.