Lianjun Li

565 citations
38 papers · 373 · h-index 11

Impact in

Papers in

Lianjun Li

38 papers receiving 357 citations

Peers

Lianjun Li
Comparison fields: 5 of 89
  • Artificial Intelligence 119
  • Applied Psychology 17
  • Signal Processing 31
  • Electrical and Electronic Engineering 165
  • Computer Networks and Communications 47
Replace Nuha Alruwais with:
Nuha Alruwais Saudi Arabia
Munish Sabharwal India
Muhammad Zulqarnain Pakistan
Gustavo Hernández-Peñaloza Spain
Imrus Salehin Bangladesh
V. Thiruchelvam Malaysia
Aaron Ray United States
Md Rakibul Hasan Bangladesh
Shailender Kumar India
Lianjun Li relative to Nuha Alruwais Saudi Arabia Nuha Alruwais's profile →
Citations per field
00.5×4.3×
Nuha Alruwais · 1×
Citations per year

Countries citing papers authored by Lianjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Lianjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lianjun 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 Lianjun Li Line = papers co-authored together Lianjun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019106
2 201831
3 201822
4 201921
5 202017
6 202217
7 201616
8 202113
9 202212
10 202211
11 202310
12 20229
13 20199
14 20199
15 20248
16 20218
17 20208
18 20228
19 20215
20 20234

About Lianjun Li

Lianjun Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 38 papers that have together received 373 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (9 papers), Advanced Memory and Neural Computing (8 papers), Optical Network Technologies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Wireless Signal Modulation Classification (3 papers), Urinary Bladder and Prostate Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Artificial Intelligence (119 citations), Applied Psychology (17 citations), Signal Processing (31 citations), Electrical and Electronic Engineering (165 citations) and Computer Networks and Communications (47 citations). Lianjun Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Lingjia Liu, Hao-Hsuan Chang, Hao Chen, Yang Yi, Jiuchang Wei, Lizhong Zheng, Zhou Zhou, Dingtao Zhao, Shanyong Wang and Andrea Fumagalli. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, SpringerPlus, IEEE Transactions on Mobile Computing and Neurochemical Research.

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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