Longjun Liu

732 total citations
57 papers, 516 citations indexed

About

Longjun Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Longjun Liu has authored 57 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Longjun Liu's work include Cloud Computing and Resource Management (15 papers), Advanced Neural Network Applications (15 papers) and Advanced Data Storage Technologies (7 papers). Longjun Liu is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Advanced Neural Network Applications (15 papers) and Advanced Data Storage Technologies (7 papers). Longjun Liu collaborates with scholars based in China, United States and Poland. Longjun Liu's co-authors include Nanning Zheng, Hongbin Sun, Tao Li, Chao Li, Yang Hu, Juncheng Gu, Jingmin Xin, Jingling Yuan, Yang Hu and Mingcong Song and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Longjun Liu

50 papers receiving 510 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Longjun Liu China 14 233 195 155 103 79 57 516
Matt Skach United States 6 136 0.6× 71 0.4× 133 0.9× 103 1.0× 74 0.9× 9 368
Tan Li China 14 115 0.5× 69 0.4× 109 0.7× 59 0.6× 36 0.5× 44 384
Vasileios Tsoutsouras Greece 10 266 1.1× 71 0.4× 133 0.9× 68 0.7× 71 0.9× 27 432
Ming-Bo Lin Taiwan 16 211 0.9× 82 0.4× 480 3.1× 110 1.1× 79 1.0× 50 673
Songlin Chen China 14 249 1.1× 153 0.8× 355 2.3× 149 1.4× 31 0.4× 51 799
Rob Miller United States 8 251 1.1× 107 0.5× 438 2.8× 57 0.6× 50 0.6× 12 644
Zongwei Zhu China 12 155 0.7× 73 0.4× 75 0.5× 96 0.9× 58 0.7× 53 434
Johanna Ullrich Austria 11 177 0.8× 108 0.6× 85 0.5× 19 0.2× 57 0.7× 23 465
Paul Martin United States 10 128 0.5× 36 0.2× 205 1.3× 70 0.7× 33 0.4× 19 425
Byoung Wook Choi South Korea 11 83 0.4× 71 0.4× 59 0.4× 90 0.9× 108 1.4× 49 389

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-authorship network of co-authors of Longjun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Longjun Liu. A scholar is included among the top collaborators of Longjun Liu 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 Longjun Liu. Longjun Liu 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
1.
Liu, Longjun, et al.. (2025). DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 11243–11257.
2.
Liu, Longjun, et al.. (2024). Optimization of sintering process to fabricate high-density ultrafine-grained (HfNbTaTiZrW)C ceramic: A comparative study. Journal of the European Ceramic Society. 44(14). 116651–116651. 2 indexed citations
4.
Zhao, Xiaoqing, Longjun Liu, Yuyi Liu, Bin Gao, & Hongbin Sun. (2024). Compensation Architecture to Alleviate Noise Effects in RRAM-based Computing-in-memory Chips with Residual Resource. 1–5.
5.
6.
Liu, Longjun, et al.. (2024). IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12367–12375. 5 indexed citations
7.
Zhang, Haonan, et al.. (2024). CaKDP: Category-Aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection. 15331–15341. 3 indexed citations
8.
Liu, Longjun, et al.. (2024). Low-Light Infrared and Visible Image Fusion With Imbalanced Thermal Radiation Distribution. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 1 indexed citations
9.
Liu, Longjun, et al.. (2023). RepCo: Replenish sample views with better consistency for contrastive learning. Neural Networks. 168. 171–179. 1 indexed citations
10.
Li, Yuhai, et al.. (2022). Design an Efficient DNN Inference Framework with PS-PL Synergies in FPGA for Edge Computing. 4186–4190. 3 indexed citations
11.
Liu, Longjun, et al.. (2022). CMD: controllable matrix decomposition with global optimization for deep neural network compression. Machine Learning. 111(3). 831–851. 7 indexed citations
13.
Ding, Hongwei, et al.. (2019). Research on Multi-Level Priority Polling MAC Protocol in FPGA Tactical Data Chain. IEEE Access. 7. 33506–33516. 4 indexed citations
14.
Liu, Longjun, Hongbin Sun, Chao Li, et al.. (2018). Exploring Highly Dependable and Efficient Datacenter Power System Using Hybrid and Hierarchical Energy Buffers. IEEE Transactions on Sustainable Computing. 6(3). 412–426. 3 indexed citations
15.
Sun, Hongbin, Longjun Liu, Xiulong Wu, et al.. (2018). Architectural Exploration to Address the Reliability Challenges for ReRAM-Based Buffer in SSD. IEEE Transactions on Circuits and Systems I Regular Papers. 66(1). 226–238. 5 indexed citations
16.
Hu, Yang, Chao Li, Longjun Liu, & Tao Li. (2016). HOPE. 1–12. 14 indexed citations
17.
Liu, Longjun, Chao Li, Hongbin Sun, et al.. (2015). HEB. 463–475. 42 indexed citations
18.
Li, Chao, Rui Wang, Yang Hu, et al.. (2014). Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters. Journal of Computer Science and Technology. 29(4). 618–630. 4 indexed citations
19.
Sun, Hongbin, et al.. (2012). Design and implementation of a video display processing SoC for full HD LCD TV. 297–300. 10 indexed citations
20.
Liu, Longjun & Wayne Wakeland. (2005). Does more uniformly distributed sampling generally lead to more accurate prediction in computer experiments. Winter Simulation Conference. 2561–2571. 2 indexed citations

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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