Ji Li

1.2k citations
64 papers · 841 indexed · h-index 16
Topics
Advanced Neural Network Applications (17 papers)Error Correcting Code Techniques (6 papers)Energy Harvesting in Wireless Networks (5 papers)

In The Last Decade

Ji Li

59 papers receiving 819 citations

Peers

Ji Li
Comparison fields: 5 of 85
  • Computer Networks and Communications 444
  • Electrical and Electronic Engineering 318
  • Artificial Intelligence 269
  • Information Systems 219
  • Computer Vision and Pattern Recognition 176
Replace Sangyoon Oh with:
Sangyoon Oh South Korea
Francesca Meneghello Italy
Ao Yu China
Juan Fang China
Mahmood Ahmadi Iran
Meng Qin China
Fazirulhisyam Hashim Malaysia
Zhifeng Chen China
Michael Möck Germany
Ji Li relative to Sangyoon Oh South Korea Sangyoon Oh's profile →
Citations per field
00.5×1.5×
Sangyoon Oh · 1×
Citations per year

Countries citing papers authored by Ji Li

Since Specialization
Citations

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

Fields of papers citing papers by Ji Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 1
6 28
7 17
8 15
9 1
10 67
11 54
12 10
13 15
14 30
15 9
16 16
17
Bi-directional Matching Algorithm Based on SURF Features for Visible and Negative Image of Infrared Image
1
18
Research on Data Transmission Technology for Rotating Ammunition with Semi-stra pdown Inertial Measurement System
1
19
Magnetic Grid Displacement Sensor
1
20 5

About Ji Li

Ji Li is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 64 papers that have together received 841 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Error Correcting Code Techniques (6 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (444 citations), Hardware and Architecture (80 citations) and Information Systems (219 citations). Ji Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shahin Nazarian, Mingxi Cheng, Yanzhi Wang, Jeffrey Draper, Qinru Qiu, Ao Ren, Bo Yuan, Zhe Li, Caiwen Ding and Xuehai Qian. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and ACM SIGCOMM Computer Communication Review.

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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