Juane Li

726 citations
32 papers · 510 · h-index 14

Impact in

Papers in

Juane Li

30 papers receiving 489 citations

Peers

Juane Li
Comparison fields: 5 of 65
  • Computer Networks and Communications 346
  • Electrical and Electronic Engineering 341
  • Endocrinology, Diabetes and Metabolism 61
  • Biochemistry 20
  • Complementary and alternative medicine 22
Replace K. P. Sharmila with:
K. P. Sharmila India
M. Maheswari India
Archit Gupta India
Chan‐Kyu Han South Korea
Lakshmi Narasimhan Chakrapani United States
Danyang Qin China
K. Sangeetha India
Praveen K. Murthy United States
Naveen Choudhary India
Kaipeng Li United States
Juane Li relative to K. P. Sharmila India K. P. Sharmila's profile →
Citations per field
00.5×
K. P. Sharmila · 1×
Citations per year

Countries citing papers authored by Juane Li

Since Specialization
Citations

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

Fields of papers citing papers by Juane Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Juane Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Juane Li Line = papers co-authored together Juane Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 201649
3 201249
4 201531
5 201528
6 201127
7 201527
8 201623
9 201422
10 202418
11 201517
12 201715
13 201514
14 201714
15 202113
16 202012
17 20177
18 20215
19 20145
20 20185

About Juane Li

Juane Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 32 papers that have together received 510 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (22 papers), Advanced Wireless Communication Techniques (17 papers), Cooperative Communication and Network Coding (15 papers), Coding theory and cryptography (5 papers), Cellular Automata and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Bioactive natural compounds (1 paper). The work is most often cited by research in Computer Networks and Communications (346 citations), Electrical and Electronic Engineering (341 citations), Endocrinology, Diabetes and Metabolism (61 citations), Biochemistry (20 citations) and Complementary and alternative medicine (22 citations). Juane Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shu Lin, Khaled Abdel-Ghaffar, Keke Liu, W.E. Ryan, Tonghua Liu, Daniel J. Costello, Lili Wu, Wen Sun, Tunhai Xu and Ian F. Blake. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, The American Journal of Chinese Medicine, World Journal of Diabetes and Chinese Journal of Integrative Medicine.

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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