Jianming Lv
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Transportation top 5%
- Co-authors
- Qing LiCan YangWenyin LiuXintong WangShengfeng HeZhenguo YangJie ChenZhixiang Huang
- Topics
- Peer-to-Peer Network Technologies (6 papers)Network Security and Intrusion Detection (5 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingOptics Express
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jianming Lv
41 papers receiving 647 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 290
- Artificial Intelligence 221
- Computer Networks and Communications 103
- Signal Processing 77
- Transportation 67
Countries citing papers authored by Jianming Lv
This map shows the geographic impact of Jianming 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 Jianming Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianming Lv more than expected).
Fields of papers citing papers by Jianming Lv
This network shows the impact of papers produced by Jianming 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 Jianming Lv. The network helps show where Jianming Lv may publish in the future.
Co-authorship network of co-authors of Jianming Lv
This figure shows the co-authorship network connecting the top 25 collaborators of Jianming Lv. A scholar is included among the top collaborators of Jianming 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 Jianming Lv. Jianming 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 25 | |
| 13 | 28 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 7 | |
| 17 | 52 | |
| 18 | 43 | |
| 19 | 60 | |
| 20 | 3 |
About Jianming Lv
Jianming Lv is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 48 papers that have together received 664 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (6 papers), Network Security and Intrusion Detection (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (290 citations), Transportation (67 citations) and Signal Processing (77 citations). Jianming Lv has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qing Li, Can Yang, Wenyin Liu, Xintong Wang, Shengfeng He, Zhenguo Yang, Jie Chen, Zhixiang Huang, Sucheng Ren and Guoqiang Han. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Optics Express.
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.