Shilei Huang
- Economics and Econometrics top 5%
- Molecular Biology
- Artificial Intelligence
- Management Information Systems top 10%
- Information Systems top 10%
- Topics
- Topic Modeling (9 papers)Natural Language Processing Techniques (9 papers)Speech Recognition and Synthesis (7 papers)
- Journals
- Energy EconomicsJournal of Alloys and CompoundsFrontiers in Cellular and Infection Microbiology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shilei Huang
29 papers receiving 441 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Economics and Econometrics 162
- Molecular Biology 92
- Artificial Intelligence 60
- Management Information Systems 55
- Information Systems 52
Countries citing papers authored by Shilei Huang
This map shows the geographic impact of Shilei 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 Shilei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shilei Huang more than expected).
Fields of papers citing papers by Shilei Huang
This network shows the impact of papers produced by Shilei 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 Shilei Huang. The network helps show where Shilei Huang may publish in the future.
Co-authorship network of co-authors of Shilei Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shilei Huang. A scholar is included among the top collaborators of Shilei Huang 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 Shilei Huang. Shilei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 111 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 17 | |
| 10 | 20 | |
| 11 | 11 | |
| 12 | A Pragmatic Approach for Classical Chinese Word Segmentation | 1 |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | On urban and rural harmonious development in general planning for South Yuntai district of Lianyungang | 1 |
| 17 | 1 | |
| 18 | VP-tree based multi-stage matching algorithm for query-by-humming systems | 2 |
| 19 | 1 | |
| 20 | 8 |
About Shilei Huang
Shilei Huang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 455 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Management Information Systems (55 citations), Economics and Econometrics (162 citations) and Accounting (49 citations). Shilei Huang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yilin Wu, Zhiming Xu, Feng Li, Yangyang Chen, Guofu Pi, Chengxiang Li, Caijuan Guo, Sun Jian-guang, Jin Tang and Bin Luo. Their work appears in journals such as Energy Economics, Journal of Alloys and Compounds and Frontiers in Cellular and Infection Microbiology.
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.