Shaohe Lv
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Co-authors
- Xiaodong WangDong WangXingming ZhouFei ChenYong DouWeihua ZhuangKe YangYunxiang Zhao
- Topics
- Cooperative Communication and Network Coding (19 papers)Wireless Networks and Protocols (13 papers)Advanced Wireless Network Optimization (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsComputer Networks
In The Last Decade
Shaohe Lv
39 papers receiving 732 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 302
- Computer Networks and Communications 219
- Electrical and Electronic Engineering 211
- Artificial Intelligence 209
- Signal Processing 142
Countries citing papers authored by Shaohe Lv
This map shows the geographic impact of Shaohe Lv'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 Shaohe Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohe Lv more than expected).
Fields of papers citing papers by Shaohe Lv
This network shows the impact of papers produced by Shaohe Lv. 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 Shaohe Lv. The network helps show where Shaohe Lv may publish in the future.
Co-authorship network of co-authors of Shaohe Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Shaohe Lv. A scholar is included among the top collaborators of Shaohe Lv 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 Shaohe Lv. Shaohe Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 1 | |
| 3 | 118 | |
| 4 | 8 | |
| 5 | 49 | |
| 6 | TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization. | 1 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 52 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | Wireless cooperative communication With Incomplete Interference Cancellation and lightweight synchronization. | 0 |
| 15 | 1 | |
| 16 | 42 | |
| 17 | 12 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | 4 |
About Shaohe Lv
Shaohe Lv is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 40 papers that have together received 759 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (19 papers), Wireless Networks and Protocols (13 papers) and Advanced Wireless Network Optimization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Signal Processing (142 citations) and Human-Computer Interaction (59 citations). Shaohe Lv has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Xiaodong Wang, Dong Wang, Xiaodong Wang, Xingming Zhou, Fei Chen, Yong Dou, Weihua Zhuang, Ke Yang, Yunxiang Zhao and Xin Niu. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Computer Networks.
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.