Jinlong Li

668 citations
9 papers · 400 indexed · 1 hit paper · h-index 5
Topics
Advanced Neural Network Applications (5 papers)Autonomous Vehicle Technology and Safety (4 papers)Video Surveillance and Tracking Methods (3 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Intelligent VehiclesArray

In The Last Decade

Jinlong Li

8 papers receiving 393 citations

Hit Papers

OPV2V: An Open Benchmark Dataset and Fusion Pipeline for ...2022202620232024202250100150200250

Peers

Jinlong Li
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 212
  • Automotive Engineering 153
  • Electrical and Electronic Engineering 81
  • Artificial Intelligence 73
  • Aerospace Engineering 71
Replace Jamil Fayyad with:
Jamil Fayyad Canada
Pablo Marín Spain
Jirui Yuan China
Kyounghwan An South Korea
Maximilian Geisslinger Germany
Jelena Kocić Serbia
Haibao Yu China
Baoxing Qin Singapore
Claude Laurgeau France
Jay Gowdy United States
Jinlong Li relative to Jamil Fayyad Canada Jamil Fayyad's profile →
Citations per field
00.5×1.5×1.9×
Jamil Fayyad · 1×
Citations per year

Countries citing papers authored by Jinlong Li

Since Specialization
Citations

This map shows the geographic impact of Jinlong Li'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 Jinlong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlong Li more than expected).

Fields of papers citing papers by Jinlong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinlong Li. 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 Jinlong Li. The network helps show where Jinlong Li may publish in the future.

Co-authorship network of co-authors of Jinlong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Li. A scholar is included among the top collaborators of Jinlong Li 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 Jinlong Li. Jinlong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 2
2 1
3 0
4 8
5 2
6 10
7 30
8 86
9
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communicationbreakdown →
261

About Jinlong Li

Jinlong Li is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 9 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Automotive Engineering (153 citations), Computer Vision and Pattern Recognition (212 citations) and Instrumentation (14 citations). Jinlong Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Runsheng Xu, Jiaqi Ma, Xu Han, Hao Xiang, Xin Xia, Hongkai Yu, Jin Ma, Zicheng Chi, Tianyun Zhang and Zhigang Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Vehicles and Array.

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.

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