Shengye Wang
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Industrial and Manufacturing Engineering top 5%
- Pulmonary and Respiratory Medicine
- Surgery
- Co-authors
- Zhong QuCui‐Jin LiJianlin LouLiang GuoSuzhan ZhangKejing WangMinghua GeShiyan Wang
- Topics
- Advanced Neural Network Applications (10 papers)Head and Neck Cancer Studies (8 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Cited by
- OtorhinolaryngologyComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaUnited States
In The Last Decade
Shengye Wang
40 papers receiving 528 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 179
- Oncology 86
- Industrial and Manufacturing Engineering 76
- Pulmonary and Respiratory Medicine 71
- Surgery 71
Countries citing papers authored by Shengye Wang
This map shows the geographic impact of Shengye Wang'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 Shengye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengye Wang more than expected).
Fields of papers citing papers by Shengye Wang
This network shows the impact of papers produced by Shengye Wang. 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 Shengye Wang. The network helps show where Shengye Wang may publish in the future.
Co-authorship network of co-authors of Shengye Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shengye Wang. A scholar is included among the top collaborators of Shengye Wang 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 Shengye Wang. Shengye Wang 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 | 5 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 45 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | [Salvage surgery for neck recurrence or residue of nasopharyngeal carcinoma after primary radiotherapy]. | 2 |
| 18 | 3 | |
| 19 | [Squamous cell carcinoma of cervical lymph nodes from an unknown primary site: a retrospective analysis of treatment strategies and prognosis]. | 1 |
| 20 | 3 |
About Shengye Wang
Shengye Wang is a scholar working on Otorhinolaryngology, Radiation and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 543 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Head and Neck Cancer Studies (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Otorhinolaryngology (44 citations), Computer Vision and Pattern Recognition (179 citations) and Industrial and Manufacturing Engineering (76 citations). Shengye Wang has collaborated with scholars based in China and United States. Frequent co-authors include Zhong Qu, Cui‐Jin Li, Jianlin Lou, Liang Guo, Suzhan Zhang, Kejing Wang, Minghua Ge, Shiyan Wang, Henrik I. Christensen and Jianxiang Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Circuits and Systems for Video Technology.
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.