Longjun Liu

732 citations
57 papers · 516 · h-index 14

Impact in

Papers in

Longjun Liu

50 papers receiving 510 citations

Peers

Longjun Liu
Comparison fields: 5 of 73
  • Hardware and Architecture 79
  • Computer Networks and Communications 233
  • Complementary and Manual Therapy 20
  • Information Systems 195
  • Computational Mathematics 3
Replace Songlin Chen with:
Songlin Chen China
Johanna Ullrich Austria
Fei Hu Zhang China
Matt Skach United States
Vasileios Tsoutsouras Greece
Zongwei Zhu China
Ming-Bo Lin Taiwan
Dong Yin China
Tan Li China
Qing Xie United States
Longjun Liu relative to Songlin Chen China Songlin Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Longjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Longjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201551
2 201344
3 201542
4 202135
5 202331
6 201522
7 201921
8 201720
9 201518
10 201417
11 202116
12 201515
13 201614
14 202214
15 202213
16 201210
17 202110
18 20199
19 20218
20 20148

About Longjun Liu

Longjun Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 57 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Cloud Computing and Resource Management (15 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Data Storage Technologies (7 papers), Advanced Vision and Imaging (6 papers), Advanced Memory and Neural Computing (6 papers), Caching and Content Delivery (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Computer Networks and Communications (233 citations), Complementary and Manual Therapy (20 citations), Information Systems (195 citations) and Computational Mathematics (3 citations). Longjun Liu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Nanning Zheng, Hongbin Sun, Tao Li, Chao Li, Yang Hu, Jingmin Xin, Juncheng Gu, Jingling Yuan, Yang Hu and Mingcong Song. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Sensors, Journal of the European Ceramic Society, Neurocomputing and IEEE Transactions on Circuits and Systems I Regular Papers.

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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